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Masters Degrees (Masters In Computer Science)

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Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Read more
Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Data scientists help organisations make sense of their data. As data is collected and analysed in all areas of society, demand for professional data scientists is high and will grow higher. The emerging Internet of Things, for instance, will produce a whole new range of problems and opportunities in data analysis.

In the Data Science master’s programme, you will gain a solid understanding of the methods used in data science. You will learn not only to apply data science: you will acquire insight into how and why methods work so you will be able to construct solutions to new challenges in data science. In the Data Science master’s programme, you will also be able to work on problems specific to a scientific discipline and to combine domain knowledge with the latest data analysis methods and tools. The teachers of the programme are themselves active data science researchers, and the programme is heavily based on first-hand research experience.

Upon graduating from the Data Science MSc programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. In particular, you will be able to:
-Understand the general computational and probabilistic principles underlying modern machine learning and data mining algorithms.
-Apply various computational and statistical methods to analyse scientific and business data.
-Assess the suitability of each method for the purpose of data collection and use.
-Implement state-of-the-art machine learning solutions efficiently using high-performance computing platforms.
-Undertake creative work, making systematic use of investigation or experimentation, to discover new knowledge.
-Report results in a clear and understandable manner.
-Analyse scientific and industrial data to devise new applications and support decision making.

The MSc programme is offered jointly by the Department of Computer Science, the Department of Mathematics and Statistics, and the Department of Physics, with support from the Helsinki Institute for Information Technology (HIIT) and the Helsinki Institute of Physics (HIP), all located on the Kumpula Science campus. In your applied data science studies you can also include multidisciplinary studies from other master's programmes, such as digital humanities, and natural and medical sciences.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

The Data Science MSc programme combines elements from computer science and mathematical sciences to provide you with skills in topics such as machine learning, distributed systems and statistical methods. You might also find that knowledge in a particular scientific field is useful for your future career. You can obtain this through minor studies in the MSc programme, or it might already be part of your bachelor-level degree.

Studies in the Data Science MSc programme include both theoretical and practical components, including a variety of study methods (lectures, exercises, projects, seminars; done both individually and in groups). Especially in applied data science, we also use problem-based learning methods, so that you can address real-world issues. You will also practise academic skills such as scientific writing and oral presentation throughout your studies. You are encouraged to include an internship in your degree in order to obtain practical experience in the field.

Minor studies give you a wider perspective of Data Science. Your minor subject can be an application area of Data Science (such as physics or the humanities), a discipline that supports application of Data Science (such as language technology), or a methodological subject needed for the development of new Data Science methods and models (such as computer science, statistics, or mathematics).

Selection of the Major

You can specialise either in the core areas of data science -- algorithms, infrastructure and statistics -- or in its applications. This means that you can focus on the development of new models and methods in data science, supported by the data science research carried out at the University of Helsinki; or you can become a data science specialist in an application field by incorporating studies in another subject. In addition to mainstream data science topics, the programme offers two largely unique opportunities for specialisation: the data science computing environment and infrastructure, and data science in natural sciences, especially physics.

Programme Structure

You should be able to complete the MSc Programme in Data Science of 120 credits (ECTS) in two years of full-time study. The programme consists of:
-Common core studies of basic data science courses.
-Several modules on specific topics within data science algorithms, data science infrastructures and statistical data science, and on data science tools.
-Seminars and colloquia.
-Courses on academic skills and tools.
-Possibly an internship in a research group or company.
-Studies in an application domain.
-Master’s thesis (30 credits).

Career Prospects

Industry and science are flooded with data and are struggling to make sense of it. There is urgent demand for individuals trained to analyse data, including massive and heterogeneous data. For this reason, the opportunities are expected to grow dramatically. The interdisciplinary Data Science MSc programme will train you to work in data-intensive areas of industry and science, with the skills and knowledge needed to construct solutions to complex data analysis problems.

If you are focusing on the core areas of data science, you will typically find employment as a researcher or consultant, sometimes after taking a PhD in Computer Science or Statistics to deepen your knowledge of the field and research methods. If your focus is on the use of data science for specific applications, you will typically find work in industry or in other fields of science such as physics, digital humanities, biology or medicine.

Internationalization

The Data Science MSc is an international programme, with students from around the world and an international research environment. All of the departments taking part in the programme are internationally recognised for their research and a significant fraction of the teaching and research staff come from abroad.

The departments participate in international student exchange programmes and offer you the chance to include international experience as part of your degree. Data Science itself is an international field, so once you graduate you can apply for jobs in any country.

In the programme, all courses are in English. Although the Helsinki area is quite cosmopolitan and English is widely spoken, you can also take courses to learn Finnish at the University of Helsinki Language Centre. The Language Centre also offers an extensive programme of foreign language courses for those interested in learning other languages.

Research Focus

The MSc programme in Data Science is offered jointly by three departments and two research institutes. Their research covers a wide spectrum of the many aspects of data science. At a very general level, the focal areas are:
-Machine learning and data mining
-Distributed computation and computational infrastructures
-Statistical modelling and analysis
-Studies in the programme are tightly connected to research carried out in the participating departments and institutes.

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Computer science has a brilliant future! You could help to create new network solutions, build the future digital society, develop secure digital services, or be involved in a ground-breaking international software project. Read more
Computer science has a brilliant future! You could help to create new network solutions, build the future digital society, develop secure digital services, or be involved in a ground-breaking international software project. Perhaps you will develop algorithms for utilising genome data in medicine or optimise bus routes using positioning data. Do you wonder about all the things that can be automated? Or would you like to dig deeper and become a researcher?

In the Master’s programme in computer science you can become an expert in a wide range of fields. You will have access to the focus areas of research in computer science at the University of Helsinki: algorithms, distributed or networked systems, and software engineering. You will gain lasting professional skills for specialist, design, or managerial posts in the corporate world, or for research and doctoral education, since the Master’s programme in computer science gives you the aptitude for both independent working and multidisciplinary teamwork.

This education will give you:
-The ability to advance your knowledge in the different areas of computer science.
-The skill to seek, assess, and analyse scientific information in your own area of expertise, and apply the methods of the field in an ethical and sustainable way.
-The ability to act as expert in the field, and to develop the practices and methods of your field in cooperation with specialists from other fields.
-Oral and written communication skills in an international work environment.

The quality teaching within the computer science programme at the University of Helsinki has been highlighted repeatedly in national and international teaching assessments. The student-centred, in-depth learning gives you a solid basis for life-long learning. Studying at the leading research unit for computer science in Finland offers you constant interaction with current research and insight into the development patterns in the field.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

In future, we will increasingly be using intelligent tools, consisting of networked hardware, software, services, and data. They will work based on intelligent, learning algorithms, data streams carried by communication protocols, and global infrastructures.

Within the Algorithms sub-programme, you will study effective algorithms and their application within other disciplines and in corporate life. Future IT systems will contain more and more intelligent components, the function of which will be based on complex mathematical models created automatically with the aid of machine-learning methods. The problems to be solved are computationally challenging, and the ever increasing amounts of data will create their own challenges when it comes to the efficiency of the algorithms needed.

The Networking and services sub-programme educates you to become an expert and strategic leader in the design and management of new global infrastructures. The infrastructures include Internet technologies in fixed networks and mobile environments, as well as the information and service networks built on top of them. Focus areas include the theory, data security, and trust within distributed systems, interactive systems, and the adaptability of services in a changing environment.

The Software systems sub-programme introduces you to the design and implementation of advanced software. The development of a shared software framework or platform for several software products is very demanding both technically and from the development project viewpoint. Developing such software requires technical skills, but also team- and project work, quality assurance, and communication. Within this sub-programme, you can specialise in software engineering, software technology, or information management, and study the current research questions in these areas in depth.

Selection of the Major

The sub-programmes in the Master’s programme for computer science are:
-Algorithms
-Networking and services
-Software systems

You can select any of these programmes according to your preferences at the beginning of your studies. The sub-programme determines which courses you should take.

Programme Structure

The Master’s programme comprises 120 credits, which can be completed in two years, in accordance with an approved personal study plan. The degree includes:
-80 credits of advanced courses, including shared courses within the programme, courses within the programme which support the thesis topic, the Master’s thesis (Pro gradu), 30 credits.
-40 credits of other courses from your own or other programmes. The other courses can include a work-orientation period.

Career Prospects

The employment outlook within the field is excellent. Masters of computer science find varied positions within the ICT field, both as employees and entrepreneurs. The nature of the education is also geared towards giving you an aptitude for managerial posts. All the sub-programmes provide the qualifications to find employment in a wide variety of jobs.

Software-system graduates often start their careers as software developers and designers, while network graduates often start with software at the infrastructure level (such as data communications, computation, or data entry). The skills learned in the algorithms sub-programme enable you to work on challenging tasks in various fields.

As a graduate you can find employment within small or large corporations as well as organisations in the private, public, or third sector. Due to the global nature of the field, you can find employment anywhere in the world. Taking modules from other education programmes will help you apply your computer science skills in other areas. Many jobs are based on these combinations.

Thanks to its strong scientific basis, the degree is also an excellent springboard to a doctoral programme.

Internationalization

There is a very international atmosphere within the programme, as nearly a third of the students come from abroad, and the advanced courses are instructed by international researchers.

In addition, the University of Helsinki and the Faculty of Science offer you many opportunities for international activities:
-Instruction in English within other education programmes.
-International tasks within the students’ organisations or union.
-Language courses at the Language Centre of the University of Helsinki.

You can also get information and counselling about independent international experience, such as:
-Student exchange in one of the exchange locations of the faculty or university.
-Traineeships abroad.

Computer science at the University of Helsinki is a popular exchange location, especially from Germany. Some 5-10 students come annually; exchange students have come from 14 countries in recent years. The students in the department have taken exchange periods in 16 countries in the past few years.

Research Focus

There are several multidisciplinary research projects under way at the Faculty of Science, which are being carried out in cooperation with the research institutes on the science campus and with other faculties, universities, and corporations. The role of computer science within these projects is to develop the basic methods of the discipline in strategic areas and to collaborate in depth with other disciplines.

The sub-programmes within the Master’s programme cover a considerable part of the strategic focus areas of computer science research at the University of Helsinki: algorithms, data analysis and machine learning, networking and services, software systems, bioinformatics, and data science.

Computer science is part of three Finnish Academy centres of excellence: for computational inference, inversion problems, and cancer genetics. These units represent the collaboration between computer science and other disciplines.

Computer science has coordinated the long-lived Algodan centre of excellence, which has been the basis for many current research groups.

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In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. Read more
In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. The programme is unique in the Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.
The emphasis of the Master's is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, Complexity Theory, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.
Within both institutes, ICIS and WINST, there is a concentration of researchers working on mathematical logic and theoretical computer science with a collaboration that is unique in the Netherlands. The research topics range from work on algebra, logic and computability, to models of distributed, parallel and quantum computation, as well as mathematical abstractions to reason about programmes and programming languages.

See the website http://www.ru.nl/masters/mathematics/foundations

Admission requirements for international students

1. A completed Bachelor's degree in Mathematics or Computer Science
In order to get admission to this Master’s you will need a completed Bachelor's in mathematics or computer science that have a strong mathematical background and theoretical interests. We will select students based on their motivation and their background. Mathematical maturity is essential and basic knowledge of logic and discrete mathematics is expected.

2. A proficiency in English
In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:
- TOEFL score of ≥575 (paper based) or ≥90 (internet based)
- IELTS score of ≥6.5
- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher

Career prospects

There is a serious shortage of well-trained information specialists. Often students are offered a job before they have actually finished their study. About 20% of our graduates choose to go on to do a PhD but most find jobs as systems builders, ICT specialists or ICT managers in the private sector or within government.

Our approach to this field

In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. The programme is unique in the Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.

The emphasis of the Master's is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, General Topology, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.

Our research in this field

Within both institutes, ICIS and WINST, there is a concentration of researchers working on mathematical logic and theoretical computer science with a collaboration that is unique in the Netherlands. The research topics range from work on algebra, logic and computability, to models of distributed, parallel and quantum computation, as well as mathematical abstractions to reason about programmes and programming languages.

See the website http://www.ru.nl/masters/mathematics/foundations

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Leiden University offers five different specialisations in the MSc programme in Computer Science. - Bioinformatics. - Computer Science and Advanced Data Analytics. Read more
Leiden University offers five different specialisations in the MSc programme in Computer Science:

- Bioinformatics
- Computer Science and Advanced Data Analytics
- Computer Science and Science Communication and Society
- Computer Science and Science-Based Business
- Data Science: Computer Science

Visit the website: http://en.mastersinleiden.nl/programmes/computer-science/en/introduction

Course detail

Leiden University offers five different specialisations in the MSc programme in Computer Science.

Three specialisations are dedicated to the research areas of the Leiden Institute of Advanced Computer Science:

- Computer Science and Advanced Data Analytics
- Bioinformatics
- Data Science for Computer Science

The other two specialisations are more broadly oriented, and combine at least one year of the computer science curriculum with training in which specific career opportunities in science-related professions can be explored:

- Computer Science and Science-Based Business.
- Computer Science and Science Communication and Society

Reasons to Choose Computer Science in Leiden:

- The programme offers stimulating, significant and innovative research in the field of Computer Science, including recent advances in Data Analytics and Natural Computing.

- Research at the Leiden Institute of Advanced Computer Science (LIACS) has an excellent international reputation.

- The strength of the programmes is the individual approach: an individually tailored programme will be designed for each student.

- The researchers and assistants are easily accessible. Students and staff work closely together in a research-oriented environment.

- Students with an MSc in Computer Science are admissible to a PhD programme.

- It provides students with a thorough computer science background that will allow them to pursue careers in research or industrial environments.

Careers

Masters of Science in Computer Science are not only professionally trained, they also have an analytical mind and problem-solving attitude. These qualities ensure a wide variety of career opportunities.

Master of Science students in Leiden work in a multinational environment and are being prepared to operate in international settings.

How to apply: http://en.mastersinleiden.nl/arrange/admission

Funding

For information regarding funding, please visit the website: http://prospectivestudents.leiden.edu/scholarships

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This programme prepares you for a career as an economist in business, financial markets and the public sector. Upon completing the programme you will be awarded the Master of Social Sciences degree, having demonstrated that you have developed many skills needed in your future career. Read more
This programme prepares you for a career as an economist in business, financial markets and the public sector. Upon completing the programme you will be awarded the Master of Social Sciences degree, having demonstrated that you have developed many skills needed in your future career:
-Profound knowledge of economic theory and familiarity with scientific economic literature.
-The ability to apply economic theory to solving practical problems and interpreting economic phenomena.
-Familiarity with econometric methods and the ability to apply them to practical research problems.
-The ability to collect and interpret empirical data.
-The ability to communicate conclusions and assess the significance of the assumptions made for them.
-Fluency in communicating economic issues to different domestic and international audiences as well as the capability to work independently and in multidisciplinary cooperation.
-Readiness to assess your own professional performance and systematically develop it.
-Knowledge of sources of economic information and the ability to adopt new tools of economic analysis.

The programme comprises two tracks. The Research track is more demanding in that it gives more profound knowledge of economic theory and econometric methods than the General track. This track is particularly suitable if your goal is to pursue a doctoral degree in economics. Profound knowledge of economic theory and methods is also useful in many demanding careers as an economist.

The degree requirements in both tracks correspond to international standards, which will help you when finding employment and pursuing further studies towards a doctoral degree in Finland and globally.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

The module of Economic Theory and Econometric Methods, which you will take in the autumn semester of your first year of study, is the foundation of the programme. It covers the central microeconomic and macroeconomic theory as well as basic econometric methods. After completing this module, you can choose from a wide selection of fields of economics to concentrate on. Optional studies consist of additional courses in economics, or other university-level courses. In addition, an internship or a labour market project is included in the degree requirements.

The programme mostly comprises lecture courses. The courses on economic theory and econometric methods consist of lectures and exercise sessions; for the most part they are completed by taking a written examination. Depending on the track, you take 3 to 4 field courses, selected based on your interests so that they form a meaningful whole. Additional field courses in economics can be included in the optional studies. In the field courses, you will be exposed to different teaching methods, such as problem-based learning and other group activities and seminars. Your grades in many field courses will be based on assignments, presentations and term papers in addition to a final examination.

Economics is a quantitative social science discipline, so you are expected to have good basic command of mathematics and statistics. Your skills in these areas will be systematically developed in this programme. Especially if you aim for a career as an economist or for doctoral studies, you are advised to include further methodological courses in your optional studies. In addition to mathematics and statistics, courses in computer science are recommended.

The structure of the programme is comparable to those of the Master's programmes in economics offered by the best international universities. It differs from the Master's programmes of the Finnish business schools in that the demanding courses in economic theory and econometrics comprise a greater proportion, and the goal is above all to prepare you for a career as an economist. The research track corresponds to Master's programmes in quantitative economics offered by some foreign universities. In line with our programme, the research track will prepare you for a career as an economist and for doctoral studies in economics.

Selection of the Major

The programme has two tracks:
-General track
-Research track

You select the track when applying for the programme: your choice will determine the degree requirements. The difference between the tracks is that the Research track aims at providing more profound knowledge of economic theory and econometric methods, whereas the General track emphasises fields and applications of economics, and it is possible to include more optional studies in the degree. The Research track prepares you for doctoral studies in economics, and its degree requirements contain most of the doctoral-level core courses in economic theory and econometrics. Taking these courses as part of the Master's degree helps you to graduate faster from the doctoral programme later. Graduates from the Research track are given precedence for the doctoral programme in economics at the University of Helsinki. The Research track is also recommended if you are interested in taking the more demanding core courses to acquire more profound knowledge of economics even if your goal is not to pursue doctoral studies.

Programme Structure

The programme comprises 120 credits (ECTS, European Credit Transfer System), and it is designed to be completed in two years. The degree requirements consist of the following modules (in the General / Research track):
Advanced studies (at least 90 ECTS / 100 ECTS)
-Economic theory and econometric methods (30 ECTS / 45 ECTS)
-Research skills (10 ECTS)
-Master's thesis (30 ECTS)
-Field courses in economics (at least 20 ECTS / 15 ECTS)

Internship or Labour market project (5 to 15 ECTS)

Optional studies (15 to 25 ECTS / 5 to 15 ECTS)

After completing the unit in economic theory and econometric methods, you select the fields in economics that you want to concentrate on. It is advisable for you to include further advanced field courses in economics or methodological courses in your optional studies. The study unit in research skills prepares you for writing the Master's thesis, and familiarises you with scholarly work in economics, research ethics and reporting research results. In addition, you prepare a research proposal for your thesis. Integrated into the studies, the degree requirements include drawing up a personal study plan, and career planning. An internship period, a labour market project or other studies aimed at developing employment skills are also included (5 to 15 ECTS so that the extent of these studies and the optional studies amount to 30 ECTS in the General track and to 20 ECTS in the Research track).

Career Prospects

The Master's Programme in Economics at the University of Helsinki prepares you for a career as an economist in business and the public sector. Economists are employed in administrative, planning and development duties requiring economic expertise in various national and international organisations. Examples include an analyst career involving risk management, asset pricing and investment strategy, jobs related to analysing the market, production and pricing in companies, assessment and planning of economic policy, and communication. Analytical skills and knowledge of quantitative methods will be of central importance in your work as an economist. In particular, economists find employment in government, financial institutions, central banks, national and international organisations, and business.

The Research track prepares you for particularly demanding careers. It is also an excellent path to doctoral studies in economics. It is advisable to select the field courses and the topic for your Master's thesis in view of your interests and career goals. An internship is a good chance to acquire work experience in your area of interest.

Internationalization

The atmosphere at the Helsinki Centre of Economic Research (HECER) is quite international, consisting of the Discipline of Economics and the departments of economics at Aalto University and the Hanken School of Economics. The staff regularly publish in international journals and collaborate with foreign researchers. There are also several regular research seminars on a number of fields, where mostly foreign visitors present their work. In addition, foreign researchers often pay longer visits to the HECER, and a large proportion of the graduate students come from abroad.

All courses in the programme are taught in English, and a large proportion of Master's theses are written in English. The staff have ample experience at universities abroad, and there are several foreigners among them. Foreign graduate students act as teaching assistants, and exchange students from the universities involved in the HECER regularly take the courses of the programme. You can include study units in foreign languages arranged by the Language Centre in the optional studies.

The degree requirements meet internationally unified standards in economics. The University of Helsinki has a number of agreements with foreign universities that enable you to visit them to gain international experience and take courses offered there. Courses taken at the master's level at universities abroad can replace field courses in economics in the degree requirements, and you can include other university-level courses in your optional studies. The most suitable time for a visit to a foreign university is in the spring semester of your first year of study after completing the core courses in economic theory and econometrics. You can also include an internship abroad as part of your studies.

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With a master’s degree in Web Science you will be able to study and solve problems on the web. Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, studies of the law, linguistics and mathematics. Read more

About the Program

With a master’s degree in Web Science you will be able to study and solve problems on the web. Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, studies of the law, linguistics and mathematics. All mandatory courses are taught in English.

In general, our programme aims at people with a bachelor’s degree or a minor in computer science. Our programme even is free of tuition. The medium of instruction is English.

More information under: http://west.uni-koblenz.de/en/mws

Employment Outlook

Graduates from the institute WeST have found interesting positions at successful companies, started their own businesses or continued towards a Ph.D. Institute WeST has a limited number of places available each year for pursueing a Ph.D. If you excel earning a master's degree in Web Science you will be in pole position for continuing with doctoral studies.

Studying in Koblenz

Koblenz is one of the oldest and most attractive cities in Germany with its surroundings honoured as UNESCO World Cultural Heritage. The university of Koblenz-Landau has close contacts to leading companies, offering possibilities for internships, collaboration and project experiences.

Program Structure

Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, law, linguistics and mathematics. All mandatory courses are taught in English.

The curriculum is organized in seven module groups:

Foundations of Web Science (two modules) establishes the main idea of Web Science. It provides an interdisciplinary primary view of the web and of more abstract web structures.

The Computer Science track (three modules) teaches the essential technical aspects, namely web engineering, semantic web and web retrieval.

Web and Society (two out of four modules) considers interaction of the web and different user groups: citizens, customers, entrepreneurs, and interest groups.

The module group Elective Courses in Computer Science provides a wide range of technical topics. Modules may be choosen freely from all Master courses in computer science with relevance to the web given at the University of Koblenz-Landau (three modules or more, mininum 18 ECTS).

Elective Interdisciplinary Courses contain web-related modules offered by our university from other disciplines (such as economy, social sciences, linguistics, anthropology, communication theory etc.). Students have to freely elect at least two modules (12 ECTS).

Topics for seminars and research lab can be freely chosen from Web Science subjects. Furthermore, this module group contains a social skills and leadership training..

The topic of the master's thesis can also be freely chosen from any Web Science subjects.

More information about the curriculum can also be found under: http://west.uni-koblenz.de/en/mws/curriculum

Requirements

Higher Education Entrance Qualification -

It is a legal requirement in Germany that students own a Higher education entrance qualification („Hochschulzugangsberechtigung“) respectively a Master entrance qualification („Masterzugangsberechtigung“), proven by school leaving certificates or studies completed at secondary education level.

Entrance qualification is not checked by us, but uni-assist (see application process), therefore please refrain from asking us if your diploma will be accepted. Uni-assist provides some further information on higher education entrance qualification.

Academic Background in Computer Science -

You need some academic background in computer science, such as a

bachelor's degree in computer science, business informatics, Computervisualistik (as offered by the University of Koblenz-Landau), Information management (as offered by the University of Koblenz-Landau until 2012 if 60 ECTS in computer science were acquired) or similar.

Students with a minor in computer science (at least 60 European Credit Points) can apply, too. Here we have to make a decision on a by-case-basis. To get an educated guess please contact the course guidance.

Only diplomas of international accredited universities will be accepted. If you are unshure if your academic background fulfils our requirements, do not hesitate to contact us: . Non-academic, practical experience in computer science alone does not qualify you for our programme.

Sufficient Grades in Previous Studies -

The German grading system ranges from 1 ("very good") to 6 ("insufficient"). Lower numbers mean better grades. To be eligible for our programme, the grades from your previous studies must be between 1 and 2.5. Grade conversion into the German system is done by uni-assist (cf. application procedure), so we cannot tell you if your GPA fis sufficient. For a first, non-binding estimation on your eligibility you might want to check the calculator provided by the University of Paderborn.

English Language Proficiency -

The medium of instruction for all required courses is English, some additional electives can be taken in German. Thus, we require a certain level of English proficiency such that studies can be undertaken successfully. Thus, a standardised language certificate is required – proof that your previous studies were held in English are not sufficient and not negiotiable. We accept three types of language proficiency certificates:

a TOEFL result of at least 79 (internet based), 550 (paper based) or 213 (computer based)

IELTS test with 6.5 points mininum

Cambridge certificate at level B2 or higher (find an exam center)

Proficiency of German language is not a requirement for application. However, additional elective courses are available in German, and we recommend to learn some basic German for daily life. Some hints on learning German can be found at Deutsche Welle.

Motivational Letter -

Applicants need to supply a motivational letter. Please do not send lenghty standard letters describing your general interest in computer science and your appreciation of the German education system. Instead, refer only to our specific programme and follow these guidelines:

Length should be between 150 and 300 words.

The letter must be written in English.

Specify what you learnt and found particularly interesting in your previous studies or practical experiences. Tell us how you want to deepen these previous experience in our master's programme. You can also describe what you expect to learn here for your future job. You should always refer to our curriculum, especially the module groups Foundations of Web Science, Major Subject Computer Science und Major Subject Web and Society. Make clear that you know our curriculum and point out why you have chosen our programme above others.

Further information under: http://west.uni-koblenz.de/en/mws/requirements

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The PGCE Information Technology and Computer Science enables ICT & computing professionals and graduates to become effective teachers of computing (curriculum previously called ICT and now including a strong Computer Science element) in secondary schools. Read more
The PGCE Information Technology and Computer Science enables ICT & computing professionals and graduates to become effective teachers of computing (curriculum previously called ICT and now including a strong Computer Science element) in secondary schools. The programme emphasises learning through critical reflection on theory and practice and discussion with colleagues.

The programme combines the theory and practice of education which is why students spend 60 days in College and 120 days in schools. The course is research-led and you will develop your knowledge of how pupils learn; how assessment can improve learning and teaching; how to plan lessons, and how to make appropriate use of computers and the Internet to teach effectively. The programme emphasises learning through critical reflection on theory and practice and discussion with colleagues.

Key Benefits

- Our Programme, judged 'Outstanding' by Ofsted, is taught by one of the strongest team of computer science education tutors in the country.

- The programme at King's is challenging and students are encouraged to take a critical view of policies and practice.

- It is a sociable course where you will be expected to work with others, discussing issues and problems about teaching.

- You have the opportunity to work with tutors who are actively engaged in research and development in computer science education.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/pgce-information-technology-and-computer-science.aspx

Course detail

- Description -

The programme combines the theory and practice of education. We work in close partnership with schools in designing, delivering and assessing our course.

University based: You will work with other trainees and tutors in your subject area to consider the principles and practice of teaching your subject including curriculum design, the development of materials, classroom management and lesson planning. You will also work with trainees from other subjects in a programme of lectures and seminar groups to examine broad generic issues. During both secondary school placements there are occasional days in college for tutorials to support and monitor progress towards the standards for Qualified Teacher Status (QTS). There are cross-curricular research tasks and assignments.

School based: For 24 of the 36 weeks the training takes place in schools, mainly in two complementary secondary schools but with two short primary school experiences. This introduces you to recognising key constituents of good teaching, helps develop your own teaching skills and gain an understanding of how schools work and how children learn.

- Computer Science Subject Knowledge Enhancement (SKE) courses -

Our Subject Knowledge Enhancement courses are intensive and flexible programmes for graduates in IT/computing who want to teach computer science but whose degree is not a direct match or whose specialist subject knowledge needs deepening prior to training for qualified teacher status (QTS). King's College London in conjunction with Queen Mary College, University of London, has designed a 12-unit SKE programme for computer science funded by the National College for Teaching and Leadership.

In order to be eligible for SKE (for which you may also obtain a bursary) you need an offer of a place on one of the King's PGCE programmes: either computer science or information technology and computer science. At the PGCE interview we will assess your SKE needs and determine which units you should take. Our SKE courses are also open to candidates who have PGCE offers, conditional on SKE, from other institutions. The programme runs between April and September. Please note that it is not intended for graduates in non-IT disciplines who wish to retrain in computer science: for that we recommend a conversion MSc programme (eg http://www.eecs.qmul.ac.uk/postgraduates/programme/view/21).

- Course purpose -

Our programme is for computing/ICT specialists wishing to train to be teachers of pupils aged 11-18 in computing (previously called ICT) to GCSE level and information technology to A-level. A parallel programme, PGCE Computer Science, enables computer science specialists to train to be teach computer science to A-level. The programme will lead to the Department for Education's (HM Government) Standards for QTS which are assessed through teaching practice observation, portfolios and written assignments.

- Course format and assessment -

The 45-credit honours-level module will be assessed by a combination of a written portfolio (equivalent to 8,000 words) and assessment of your teaching practice against the teaching standards as set out by the government’s Department for Education. Progress in meeting the teaching standards will be monitored through three progress reports that will be completed by staff at the placement school.

The 30-credit master’s-level modules will each be assessed by an 8,000-word written assignment.

The 15-credit honours-level module will be assessed by a 4,000-word written assignment.

Career prospects

The majority of trainees go into teaching or other areas of education: many become heads of departments or members of senior management teams; some take up careers in educational administration in the advisory or inspection services.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

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Why do languages change? Why does your mobile device suggest funny completions for words you are typing? How did it happen that Finnish is spoken mostly… Read more
Why do languages change? Why does your mobile device suggest funny completions for words you are typing? How did it happen that Finnish is spoken mostly in Finland, but its linguistic relatives are scattered over a larger area? How can you study a language that does not have a standard orthography? Why can you sometimes tell where other people come from just by their accent? Why do some people stick to their dialect, but others give it up when they move to the city? Should you try to support language diversity? Can we save languages that are spoken by a very small number of people? How can computer-synthesised speech be made to sound more human? Why do some languages seem so much more difficult to learn - are they inherently more complex?

This Master's programme will provide you with an understanding of the nature and diversity of human language and with the theoretical tools for working with language material. If you are interested in languages but are unable to decide which of them you want to study, this Master's programme offers several fields of specialisation. One of them might be just perfect for you.

During your studies, you will:
-Gain an in-depth understanding of the basic structure of language, its subsystems (phonology, morphology, syntax, semantics, pragmatics) and their mutual relationships.
-Learn the fundamentals of linguistic analysis and language description.
-Familiarize yourself with linguistic concepts, theories, descriptive models and the associated research methods.
-Learn how language is related to cognition, speech and interaction as well as to social structures, culture and society.
-Learn to use various methods and technical tools in order to manage and analyze language data.
-Gain a good understanding of linguistic variation and diversity: what is common to the world's languages and how they differ, how language changes through time, how languages influence one another, how individuals cope with multilingual situations and how communities speaking endangered languages can be supported.

After completing your studies, you will be able to work independently in various fields that require multidisciplinary expertise in linguistic sciences. You will have the theoretical knowledge and skills that are required for postgraduate studies in the doctoral programme in language studies.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

Linguistic Diversity in the Digital Age is an integrated international programme that offers you a comprehensive view of all subfields of the science of language. As a student in the programme you will be able to choose among four specialist options: (1) General Linguistics, (2) Phonetics, (3) Language Technology, and (4) Diversity Linguistics.

General Linguistics
Gives you comprehensive in-depth training in a wide range of theoretical and methodological approaches to language structure and language in use. Special emphasis is put on language typology in a global perspective as well as the documentation and description of endangered and previously undocumented and under-documented forms of speech.

Phonetics
Introduces you to the tools for working with the articulatory, acoustic and perceptional aspects of human speech from a multidisciplinary perspective. At the more advanced level, you will become acquainted with the methods of experimental phonetics.

Language Technology
Combines linguistics with digital technology in an interdisciplinary approach with close links to computer science. The focus areas include natural language processing (NLP) for morphologically rich languages, cross-lingual NLP and language technology in the humanities.

Diversity Linguistics
Encompasses all aspects of linguistic diversity in time and space, including historical linguistics as well as the extralinguistic context of languages: ethnicities, cultures and environ­ments. The areal foci in Diversity Linguistics are Eurasia and Africa.

These four specialist options interact at all levels. There is a study module common to all students in the programme regardless of the specialist option they choose. The integration of these four perspectives into one programme is unique - no similar programme exists anywhere else.

In the context of “Humanities”, the programme has the closest relationship to natural sciences, and many subfields of the programme involve methods directly linked to laboratory sciences, including digital technology and neurosciences.

The teaching in the programme includes lectures and seminars, practical exercise sessions, reading circles, fieldwork excursions, as well as work practice (internship). The broad spectrum of teaching methods guarantees optimal support for your learning processes.

Programme Structure

The scope of the Master of Arts degree is 120 credits. The degree contains the following studies:
-Studies common to all students in the programme (30 credits)
-Advanced studies in the specialist option (at least 60 credits)
-Other studies (up to 30 credits)

The target duration of full-time studies leading to an MA degree is two years.

All students in the programme take the same courses during the autumn semester of the first year.

Then you will focus on your specialist option (general linguistics, phonetics, language technology, or diversity linguistics). This block of studies consists of courses (at least 30 credits) and of the final project, which is your Master's thesis (30 credits).

Additionally, you choose other studies: modules offered either by the other specialist options within this Master's programme or by other programmes within the University of Helsinki. The size of such optional study modules is typically 15, 25 or 30 credits. Courses offered by other universities can also be included here.

The studies in your own specialist option as well as the other studies may also include an internationalization period (e.g. student exchange) and work practice or other working life oriented study units. Working life and career development perspectives are integrated in many courses in the programme.

You will complete your studies systematically. At the beginning of your Master’s studies, you will prepare your first personal study plan (PSP). In this, you will receive support especially from the staff of the Master's programme. Guidance is also given at the Faculty level.

Career Prospects

After graduation, students of the programme find employment in a wide variety of positions, in which special knowledge of language is required.

One path prepares you for a research career, and many graduates work as researchers in Finland and abroad. You can also work in the political, diplomatic, and educational sectors, as well as research administration. Further potential employers are found in the publishing industry, media and journalism, public relations and communications of business and public administration, as well as NGOs.

If you choose a technological orientation, you may work in language technology firms or more generally in the IT sector. Big international companies are in constant need of experts in speech and language technology. Additionally, there is a vibrant field of domestic companies, some established ones and many promising start-ups. Some students have founded their own companies and become entrepreneurs.

Note that it is not possible to graduate as a (subject) teacher in the LingDA Master's programme.

In honour of the University of Helsinki's 375th anniversary, the Faculty of Arts presented 375 humanists during year 2015. Get to know the humanists! http://375humanistia.helsinki.fi/

Internationalization

Linguistics is by definition an international field. Language capacity is a feature common to all human beings, and the objective of linguistics as a science is to study both the universal background of language as a phenomenon and the global diversity of languages as expressions of social and cultural heritage.

In the LingDA programme, internationalization is present in several forms and at several levels:
-The programme functions in English and accepts international students from all countries.
-The programme recruits students representing a variety of linguistic and cultural backgrounds.
-The students are encouraged to study and master many languages from both the practical and the theoretical points of view.
-The students are encouraged early on to get engaged in documentational and typological field work among speakers of little documented languages in various parts of the world.
-The students are encouraged to use the opportunities of international exchange that the university offers.

The programme has a high international profile and all teachers have wide international contact networks. At the university of Helsinki, linguistics was internationalized as early as the 19th century. Finland is a country where, in particular, ethnolinguistics and field linguistics were developed and practised much earlier than in most other European countries. Some of the regions where Finnish ethnolinguists have been active include North and Central Eurasia, the Near and Middle East, East Asia, South Asia, and Africa. This tradition of field-work-oriented linguistics is today carried on by the HALS (Helsinki Area and Linguistic Studies) research community. At the same time, the more recent fields of linguistics, including phonetics, language technology, and typology, have developed their own international profiles.

Research Focus

The MA programme Diversity Linguistics in the Digital Age combines several research fields in which the University of Helsinki has long been a global leader. Language research in Helsinki has always maintained its strong commitment to a better understanding of cultural areas and their history. Situated in an ideal place for the study of language history and contact linguistics of various Eurasian language families, the study of Uralic languages has a long tradition in Helsinki. Our interest in the culturally and historically informed study of language reaches well beyond that, though, spanning Asia, Europe and Africa.

Our language research is empirically driven and informed by linguistic typology. The question of linguistic complexity, its significance for language and cultural history, and its intersection with ecological models is a hallmark of the Helsinki School of Linguistics. We explore new horizons in area and language studies by combining cutting edge research in linguistic typology with field work based descriptive linguistics and linguistic anthropology.

A unique asset at the University of Helsinki is the presence of various language technology initiatives at the forefront of the digital humanities. The study of morphologically complex languages plays a great role here, and special attention is paid to lesser researched languages.

Each of the four study lines of our MA programme thus corresponds to a University of Helsinki focus area. Our language-related research is typically multidisciplinary and involves more than one linguistic specialty. This is also a crucial feature in our MA programme. Students receive theoretical, thematic and methodological training for research or other professional careers that require problem-solving skills in order to maintain linguistic diversity and to support people’s linguistic well-being.

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Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. Read more
Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. This means you will be learning current research results, keeping you at the forefront of these areas. You will also learn a range of theories, principles and practical methods.

The MSc in Advanced Computer Science is a full time, one year taught course, intended for students who already have a good first degree in Computer Science, and would like to develop a level of understanding and technical skill at the leading edge of Computer Science.

You can choose modules on a range of topics, including Cryptography, Functional Programming, Interactive Technologies, Natural Language Processing, Quantum Computation and Model-Driven Engineering.

Course aims
You will gain an in-depth knowledge of topics on the frontiers of Computer Science in order to engage in research or development and application of leading-edge research findings.

By undertaking an individual project, you will become a specialist in your selected area. You will be encouraged to produce research results of your own. This will prepare you to undertake a PhD in Computer Science should you wish to continue studying within the subject.

Learning outcomes
-A knowledge of several difference topics in Computer Science at an advanced level.
-An understanding of a body of research literature in Computer Science in your chosen topic, and the underlying principles and techniques of research in this area.
-An ability to engage in independent study at an advanced level, and develop skills in self-motivation and organisation.

Research Project

You will undertake your individual research project over the Summer term and Summer vacation. This will be a culmination of the taught modules you have taken during the course, which will allow you to focus on a specialist area of interest.

You will be allocated a personal supervisor, who will be an expert in your chosen area of research. You will be hosted by the research group of your supervisor, and you will benefit from the knowledge and resources of the whole group. Being attached to a research group also allows you to take part in their informal research seminars, and receive feedback and help from other members of the group.

You can choose from projects suggested by members of our academic staff. You also have the option of formulating your own project proposal, with the assistance from your personal supervisor.

All project proposals are rigorously vetted and must meet a number of requirements before these are made available to the students. The department uses an automated project allocation system for assigning projects to students that takes into account supervisor and student preferences.

The project aims to give you an introduction to independent research, as well as giving you the context of a research group working on topics that will be allied to your own. You will develop the skills and understanding in the methods and techniques of research in Computer Science.

As part of the assessment of the project, as well as your dissertation, you will give a talk about your work and submit a concise paper which we will encourage you to publish.

Information for Students

The MSc in Advanced Computer Science exposes you to several topics in Computer Science that are under active research at York. The material taught is preparatory to helping to continue that research, and perhaps continuing to a PhD. What we require from you are enthusiasm, hard work and enough background knowledge to take your chosen modules.

The modules on the MSc in Advanced Computer Science are mostly shared with our Stage 4 (Masters level) undergraduates. Your technical background will be different, and we acknowledge this.

During August we will send entrants a document describing the background knowledge needed for each module and, in many cases, references to where this knowledge is available (for example, widely available text books and web pages).

More generally, many of the modules expect a high level of mathematical sophistication. While the kind of mathematics used varies from module to module, you will find it useful to revise discrete mathematics (predicate and propositional calculi, set theory, relational and functional calculi, and some knowledge of formal logic), statistics and formal language theory. You should also be able to follow and produce proofs.

Careers

Here at York, we're really proud of the fact that more than 97% of our postgraduate students go on to employment or further study within six months of graduating from York. We think the reason for this is that our courses prepare our students for life in the workplace through our collaboration with industry to ensure that what we are teaching is useful for employers.

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The MSc in Computer Science is for graduates from a different discipline interested in a career in computer science. Computing underpins much of our professional and personal lives. Read more
The MSc in Computer Science is for graduates from a different discipline interested in a career in computer science.

Why study computer science with us?

Computing underpins much of our professional and personal lives. There is a growing need for individuals trained in one discipline who are also skilled in computer science.

If you are a graduate with a non-computing first degree then our MSc will:

- provide you with a sound foundation in practical and theoretical aspects of computer science
- help you change career, with skills desirable to a huge number of industries
- enhance your employability with transferable skills
- prepare you for PhD study

No prior background in computer science is necessary.

What will I learn?

Semester one offers a broad overview of computer science through a series of core units.

Semester two focusses on advanced and emerging areas of computer science. You will have the opportunity to specialise in one or more areas of the discipline.

The final semester is for your dissertation. You will:

- demonstrate the knowledge, skills and reflective insights you have have gained
- apply them to the investigation and/or development of new software systems.

Visit the Department of Computer Science (http://www.bath.ac.uk/comp-sci/) for further information on the department.

Visit the website http://www.bath.ac.uk/science/graduate-school/taught-programmes/msc-computer-science/index.html

Programme structure

The programme covers three semesters.

In the first semester we immerse students in the practical and theoretical foundations of the discipline.

In the second semester we build upon these foundations allowing students to specialise in one or more areas of the discipline.

The third semester is dedicated to a dissertation. Students combine their acquired knowledge to produce a novel software element or conduct novel research and critique their achievements. Please visit our research pages for a an overview of our research (http://www.bath.ac.uk/comp-sci/research/).

Career opportunities

Opportunities are extensive and we expect our graduates to move into computing careers in the leading:
- computer companies
- IT consultancy firms
- banks
- companies
- agencies
- educational establishments

About the department

The new Department of Computer Science began life in August 2001, emerging from the Computing Group of the Department of Mathematical Sciences. It is a research-led department with a strong record in interdisciplinary research and postgraduate teaching.

MSc
Our Masters programmes are designed to give you a wide range of knowledge so that you can build a career in the fast-moving industry of computing. The programmes are taught by recognised experts in each field, offering you, the student, a cutting-edge experience and a qualification which is both academic and commercially relevant. You will be exposed to the latest science and technology in your chosen specialist area, to complement previously-gained knowledge and skills from your undergraduate degree.

MPhil/PhD
The Department supports a strategic range of computer science research at PhD level and beyond. Our main research interests include Human Computer Interaction, Visual Computing, Mathematical Foundations, and Intelligent Systems. Research is pursued both in fundamental theoretical development and a range of application areas.

EngD in Digital Media
The Engineering Doctorate (EngD) in Digital Media is an alternative to the traditional PhD for students who want a career in industry. A four-year programme combines PhD-level research projects with taught courses, and students spend about 75% of their time working directly with a company.

Facilities and equipment
LAN and WAN, state-of-the-art HCI laboratory, audio laboratory.

International and industrial links
The Department has active collaborations with academics in leading universities in Europe, Australasia, the USA and Japan. Strong links with industry, e.g. HP labs, Airbus, Qinetiq, Westland, Toshiba and Vodafone.

Careers information
High employment records for undergraduate and postgraduate students. Good links with employers

Find out more about the department here - http://www.bath.ac.uk/comp-sci/

Find out how to apply here - http://www.bath.ac.uk/science/graduate-school/taught-programmes/how-to-apply/

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Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains. Read more
Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains.

We offer a two-year Master of Science in Computer Science centered on this emerging field. The backbone of the program is constituted by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks, Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing, each providing a solid grounding in data science and engineering as well as a firm grasp of the domain of interest.

By blending standard classes with recitations and lab sessions our program ensures that each student masters the theoretical foundations and acquires hands-on experience in each subject. In most units credit is obtained by working on a final project. Additional credit is also gained through short-term internship in the industry or in a research lab. The master thesis is worth 25% of the total credit.

TRACKS

• Business Intelligence. This track builds on first hand knowledge of business management and fundamentals of data warehousing, and focuses on data mining, graph analytics, information visualisation, and issues related to data protection and privacy.
• Health & Life Sciences. Starting from core knowledge of signal and image processing, bioinformatics and computational biology, this track covers methods for biomedical image reconstruction, computational neuroengineering, well-being technologies and data protection and privacy.
• Pervasive Computing. Security and ubiquitous computing set the scene for this track which deals with data semantics, large scale software engineering, graph analytics and data protection and privacy.
• Visual Computing. This track lays the basics of signal & image processing and of computer graphics & augmented reality, and covers human computer interaction, computational vision, data visualisation, and computer games.

PROSPECTIVE CAREER

Senior expert in Data Science and Engineering. You will be at the forefront of the high-tech job market since all big companies are investing on data driven approaches for decision making and planning. The Business Intelligence area is highly regarded by consulting companies and large enterprises, while the Health and Life Sciences track is mainly oriented toward biomedical industry and research institutes. Both the Pervasive and the Visual Computing tracks are close to the interests of software companies. For all tracks a job in a start-up company or a career on your own are always in order.

Senior computer scientist.. By personalizing your plan of study you can keep open all the highly qualified job options in software companies.

Further graduate studies.. In all cases, you will be fully qualified to pursue your graduate studies toward a PhD in Computer Science.

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Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science. Read more
Our highly sought-after graduates benefit from a programme that integrates training in identifying, framing and effectively researching social problems with a leading computational approach to social science.

Furthermore, we are home to the Centre for Research in Social Simulation (CRESS) and its world-leading expertise in agent-based modelling.

PROGRAMME OVERVIEW

Interest in simulation has grown rapidly in the social sciences. New methods have been developed to tackle this complexity. This programme will integrate traditional and new methods, to model complexity, evolution and the adaptation of social systems.

These new methods are having an increasing influence on policy research through a growing recognition that many social problems are insufficiently served by traditional policy modelling approaches.

The Masters in Social Science and Complexity will equip you to develop expertise in the methods necessary to tackle complex, policy-relevant, real-world social problems through a combination of traditional and computational social science methods, and with a particular focus on policy relevance.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time over two academic years. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Data Analysis
-Field Methods
-Computational Modelling
-Theory Model Data
-Modelling the Complex World
-Policy Modelling
-Theory and Method
-Statistical Modelling
-Evaluation Research
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

The main aims of the programme are to:
-Provide an appropriate training for students preparing MPhil/PhD theses, or for 
 students going on to employment involving the use of social science and policy research
-Provide training that fully integrates social science, policy modelling and computational methodologies to a high standard
-Provide training resulting in students with high quality analytic, methodological, computational and communication skills

PROGRAMME LEARNING OUTCOMES
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
-Develop skills in tackling real world policy problems with creativity and sound methodological judgment
-Cover the principles of research design and strategy, including formulating research 
questions or hypotheses and translating these into practicable research designs and models
-Introduce students to the methodological and epistemological issues surrounding research in the social sciences in general and computational modelling in particular
-Develop skills in programming in NetLogo for the implementation of agent-based models for the modelling of social phenomena
-Develop skills in the acquisition and analysis of social science data
-Make students aware of the range of secondary data available and equip them to evaluate its utility for their research
-Develop skills in searching for and retrieving information, using library and Internet resources
-Develop skills in the use of SPSS, and in the main statistical techniques of data analysis, including multivariate analysis
-Develop skills in the use of CAQDAS software for the analysis of qualitative data
-Develop skills in writing, in the preparation of a research proposal, in the presentation ofresearch results and in verbal communication
-Help students to prepare their research results for wider dissemination, in the form of seminar papers, conference presentations, reports and publications, in a form suitable for a range of audiences, including academics, stakeholders, policy makers, professionals, service users and the general public

Knowledge and understanding
-Show advanced knowledge of qualitative, quantitative and computational methodologies in the social science
-Show advanced knowledge of modelling methodologies, model construction and analysis
-Show critical understanding of methodological and epistemological challenges of social science and computer modelling
-Show critical awareness and understanding of the methodological implications of a range of sociological theories and approaches
-Show understanding the use and value of a wide range of different research approaches across the quantitative and qualitative spectra
-Show advanced knowledge in data collection, analysis and data driven modelling
-Show advanced knowledge of policy relevant social science research and modelling
-Show advanced understanding of the policy process and the role of social science and modelling therein
-Show advanced knowledge of statistical modelling

Intellectual / cognitive skills
-Systematically formulate researchable problems; analyse and conceptualise issues; critically appreciate alternative approaches to research; report to a range of audiences
-Conceptual development of Social Science and Complexity models to creatively enhance the understanding of social phenomena
-Integration of qualitative, quantitative and computational data
-Judgement of problem-methodology match
-Analyse qualitative and quantitative data drawn both from ‘real world’ and ‘virtual world’ environments, using basic and more advanced techniques, and draw warranted conclusions
-Develop original insights, questions, analyses and interpretations in respect of research questions
-Critically evaluate the range of approaches to research

Professional practical skills
-Formulate, design, plan, carry out and report on a complete research project
-Use the range of traditional and computational techniques employed in sociological research
-Ability to produce well founded, data driven and validated computational models
-Generate both quantitative and qualitative data through an array of techniques, and select techniques of data generation on appropriate methodological bases
-Employ a quantitative (SPSS) and qualitative software package to manage and analyse data
-Plan, manage and execute research as part of a team and as a sole researcher
-Ability to communicate research findings models in social science and policy relevant ways
-Ability to manage independent research

Key / transferable skills
-Communicate complex ideas, principles and theories by oral, written and visual means
-Apply computational modelling methodology to complex social issues in appropriate ways
-Creativity in approaching complex problems and a the ability of communicating and justifying problem solutions
-Apply computing skills for computational modelling, research instrument design, data analysis, and report writing and presentation
-Work to deadlines and within work schedules
-Work independently or as part of a team
-Demonstrate experience of a work environment

PLACEMENTS

On the MSc Social Science and Complexity, we offer the opportunity to take a research placement during the Easter vacation. This will provide you with first-hand experience of real-life policy research in action.

Organisations in which placements might be possible are a number of consultancies (e.g. Sandtable), government departments (e.g. Defra) and academic research centres (e.g. Centre for Policy Modelling at Manchester).

CAREER OPPORTUNITIES

Computational methods and especially computer-based simulations, are becoming increasingly important in academic social science and policy making.

Graduates might find career opportunities in government departments, consultancies, government departments, consultancies, NGOs and academia.

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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Learning how to make new discoveries that will contribute to a better understanding of the historical, social political and cultural processes that shape societies. Read more

Overview

Learning how to make new discoveries that will contribute to a better understanding of the historical, social political and cultural processes that shape societies.

Are people living in ethnically diverse neighbourhoods more inclined to turn inwards and to ‘hunker down’ compared to people of ethnically homogeneous settings? Are there cross-country differences in the causes of hooliganism, and in the effectiveness of methods used to combat hooligans in different European countries?

More and more comparative questions on societies are being raised. At Radboud University we believe that answers to comparative questions are more informative, lead to a better understanding of societal phenomena and processes, and therefore have more scientific and social importance than answers to questions about one society in one historical period.

This programme therefore fully focuses on teaching students how to perform high-quality comparative research. We look into the degree of inequality, cohesion and modernisation in both Western and non-Western societies. You’ll learn how to translate social problems into empirical research questions and understand the diverse theoretical approaches, research designs, data collections and analyses you need to get the answers you are looking for.

See the website http://www.ru.nl/masters/scs

Why study Social and Cultural Science at Radboud University?

- A majority of our courses are exclusively created and offered for the research students enrolled in this programme, and therefore perfectly match the needs and desires of social and cultural researchers.
- This programme is linked to the Nijmegen Institute for Social and Cultural Research (NISCO) who offer an excellent research environment and have extensive social science databases that students are free to use.
- You’ll participate in group-oriented education and be part of a small, select group of highly motivated national and international students.
- You’ll be given your own workplace (equipped with a computer) in a room with your fellow students to enhance solidarity. Every student also receives personal guidance and supervision.
- You’ll write two scientific journal papers which will not only give you plenty of practise but will also give you a good academic research portfolio that you can use when applying for research positions.
- A large majority of our graduates gain PhD and other research positions; almost all of our graduates found work shortly after graduating.

Multidisciplinary

The programme combines the disciplines of sociology, anthropology, development studies and communication science. This programme is therefore ideal for Bachelor’s students from these disciplines with an interest in research. However, we believe that students from disciplines such as political science, economics and human geography can also profit from this Master’s.

The Research Master’s in Social and Cultural Science trains aspiring researchers and is ideal preparation for PhD positions or research positions in relevant non-academic research institutes. Or you could build a bridge between academic research and the world of practice, thereby influencing policy-making in the public and private sphere.

Quality label

This programme was recently awarded the quality label ‘Top Programme' in the Netherlands in the Keuzegids Masters 2015 (Guide to Master's programmes).

Career prospects

The career prospects of a graduate of Social and Cultural Science are good; almost 100% of our alumni found a job or research position immediately after graduating.

Job positions

There are plenty of options open to graduates of the research Master’s in Social and Cultural Science:
- Scientific research career (academia)
The programme provides an excellent basis for a scientific research career and attaining PhD positions.

- Societal research career
Our graduates can also go on to have careers in relevant non-academic research and policy institutes like government ministries, Statistics Netherlands (CBS), The Netherlands Institute for Social Research (SCP) and The Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) and foreign equivalents.

- More
Of course, this Master’s programme does not close other doors. Students with a research Master’s are also highly sought after by (commercial) businesses and organisations because of their analytical and communication skills and in-depth understanding of social and cultural behaviour. Other careers, such as policymaker, manager, journalist, etc are certainly within reach.

Find information on Scholarships here http://www.ru.nl/scholarships

See the website http://www.ru.nl/masters/scs

Our research in this field

Half of the Master’s programme in Social and Cultural Science consists of practical research training.

In the first year, you’ll do a research project in which you conduct a small-scale empirical research under guided supervision of a senior researcher. The comparative research issue is typically part of the ongoing research within a Radboud chair group. Finally, you’ll write a scientific journal paper regarding the research results. The project is done in small groups (2-3 students) and prepares you well to independently conduct a comparative empirical social science study for your Master’s thesis in the second.

- Master’s thesis topics in the field of Social and Cultural Science
For your Master’s thesis you are completely free to tackle any social issue in the disciplines of sociology, anthropology, communication science or development studies. Important is the ability to reflect on the societal significance of your research question and the societal importance of your research. Thesis topics vary widely:
- Many theses are concerned with cross-country comparisons of behaviour or attitude measures using European cross-sectional survey data on, for example, xenophobia or gender roles.
- Others theses compare classrooms and the effect ethnic composition has on interethnic bullying or the impact of the economic crisis on African migrants in Athens, Greece, or the utilisation of different sexual health services by Aboriginal adolescents.
- Thesis topics can also be found in the field of communication science, like examining the news on extreme right political parties in Belgium, Germany and the Netherlands and correlating it with election results, or studying patterns in TV drama (e.g. increasing Americanisation) and comparing these media trends with societal processes such as individualisation.

See the website http://www.ru.nl/masters/scs

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The Pre-Masters in Biomedical Science (Graduate Diploma in Biomedical Science) provides a discipline-specific pathway (a pre-masters year) into the taught Biomedical Blood Science masters level programme. Read more

Overview

The Pre-Masters in Biomedical Science (Graduate Diploma in Biomedical Science) provides a discipline-specific pathway (a pre-masters year) into the taught Biomedical Blood Science masters level programme. It is a one-year full-time programme designed for both home and international students, with a background in life sciences, who wish to study at postgraduate level for the MSc in Biomedical Blood Science. The programme is open to science graduates who do not meet the academic criteria for a direct entry into the MSc. The MSc in Biomedical Blood Science is accredited by the Institute of Biomedical Science (IBMS). The IBMS is the professional body of Biomedical Scientists within the United Kingdom. The IBMS aims to promote and develop the role of Biomedical Science within healthcare to deliver the best possible service for patient care and safety.

See the website https://www.keele.ac.uk/pgtcourses/biomedicalsciencegraduatediploma/

Course Aims

The overall aim is to provide the students with the academic background necessary for the masters programme and to enable them to develop and practise the subject specific academic skills required for the intensive pace of study at masters level. The course also aims to allow international students to benefit from English language support that will help them to develop their academic English language skills.

Intended learning outcomes of the programme reflect what successful students should know, understand or to be able to do by the end of the programme. Programme specific learning outcomes are provided in the Programme Specification available by request; but, to summarise, the overarching course aims are as follows:

- To provide students with core knowledge, understanding and skills relevant to Biomedical Science

- To produce skilled and motivated graduates who are suitably prepared for the MSc in Biomedical Science and for further study.

- To cultivate interest in the biosciences, particularly at the cellular and molecular level, within a caring and intellectually stimulating environment.

- To get an accurate insight into the role of Biomedical Scientists in the diagnosis, treatment and monitoring of disease.

- To develop an understanding of the analytical, clinical and diagnostic aspects of Cellular Pathology, Clinical Biochemistry, Medical Microbiology, Blood Transfusion, Clinical Immunology and Haematology pathology laboratories.

- To promote the development of a range of key skills, for use in all areas where numeracy and an objective, scientific approach to problem-solving are valued.

- To provide students with a wide range of learning activities and a diverse assessment strategy in order to fully develop their employability and academic skills, ensuring both professional and academic attainment.

- To promote the development of critical thinking, autonomous learning, independent research and communication skills to help prepare the students for the MSc in Biomedical Blood Science and for a lifetime of continued professional development.

Course Content

All the modules in this one year programme are compulsory. The programme consists of a total of 90 credits made up of one 30 credit module and four 15 credit modules. An additional English module (English for Academic Purposes) will be offered for non-native English speakers if required. This module will not form part of the overall award, but successful completion is required for progression to the Masters programme.

Modules:
- Biomedical Science and Pathology (30 credits):
The module provides the student with the knowledge and understanding of the pathobiology of human disease associated with Cellular Pathology, Clinical Immunology, Haematology, Clinical Biochemistry, Medical Microbiology and Clinical Virology. It also examines the analytical and clinical functions of three more of the major departments of a modern hospital pathology laboratory, including Haematology, Clinical Pathology, Clinical Immunology, Blood Transfusion, Clinical Biochemistry and Medical Microbiology. In addition, the module will give an accurate insight into the role of Biomedical Scientists and how they assist clinicians in the diagnosis, treatment and monitoring of disease.

- Biochemistry Research Project (non-experimental) (15 credits):
This module aims to introduce students to some of the key non-experimental research skills that are routinely used by biochemists and biomedical scientists, such as in depth literature searching, analysis of experimental data and the use of a computer as tool for both research (bioinformatics) and dissemination of information (web page construction). The student will research the literature on a specific topic, using library and web based resources and will produce a written review. In addition, the student will either process and interpret some raw experimental data provided to them.

- Advances in Medicine (15 credits):
This module will describe and promote the understanding of advances in medicine that have impacted on diagnosis, treatment, prevention of a range of diseases. It will highlight fast emerging areas of research which are striving to improve diagnosis including nanotechnology and new biochemical tests in the fields of heart disease, cancer and fertility investigations which will potentially improve patient care.

- Clinical Pathology (15 credits):
The majority of staff that contribute to the module are employees of the University Hospital of North Staffordshire (UHNS). Students will benefit from lectures and expertise in Clinical Diagnostic Pathology, Pharmacology, Biochemistry, Genetics and Inflammatory Diseases. Students will gain an insight into how patients are managed, from their very first presentation at the UHNS, from the perspective of diagnosis and treatment. The course will cover both standardised testing options and the development of new diagnostic procedures with a particular emphasis on genetic and epigenetic aspects of disease. Students will also gain an appreciation of the cost benefit of particular routes for diagnosis and treatment and the importance of identifying false positive and false negative results. Finally, the students will have the opportunity to perform their own extensive literature review of a disease-related topic that is not covered by the lectures on the course.

- Case Studies in Biomedical Science (15 credits):
This module aims to give you an understanding of the UK health trends and the factors that affect these trends. Through clinical case studies and small group tutorials, you will explore why the UK has some of the highest incidences of certain diseases and conditions in Europe and consider what factors contribute to making them some of the most common and/or rising health problems faced by this country. This will include understanding the relevant socioeconomic factors as well as understanding the bioscience of the disease process and its diagnosis and management. You will also focus on what is being done by Government and the NHS to tackle these major health problems.

- English for Academic Purposes (EAP ):
For non-native English speakers if required

Teaching & Assessment

In addition to the lecture courses and tutorials, problem based learning (PBL) using clinical scenarios is used for at least one module. Students will also be given the opportunity to undertake an independent non-experimental research project, supervised and supported by a member of staff. Web-based learning using the University’s virtual learning environment (KLE) is also used to give students easy access to a wide range of resources and research tools, and as a platform for online discussions and quizzes. Students will be given many opportunities to become familiar with word processing, spreadsheets and graphics software as well as computer-based routes to access scientific literature.

All modules are assessed within the semester in which they are taught. Most contain elements of both ‘in-course’ assessment (in the form of laboratory reports, essays, posters) and formal examination, although some are examined by ‘in-course’ assessment alone.

Additional Costs

Apart from additional costs for text books, inter-library loans and potential overdue library fines we do not anticipate any additional costs for this post graduate programme.

Find information on Scholarships here - http://www.keele.ac.uk/studentfunding/bursariesscholarships/

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The basis of natural sciences is the modelling of phenomena and solving these models. The Master’s programme in theoretical and computational methods will give you a strong basis in the theoretical methods, modelling, and mathematical and numerical analysis within physics, mathematics, chemistry and/or computer science. Read more
The basis of natural sciences is the modelling of phenomena and solving these models. The Master’s programme in theoretical and computational methods will give you a strong basis in the theoretical methods, modelling, and mathematical and numerical analysis within physics, mathematics, chemistry and/or computer science. The special feature of this programme is that you can combine the above disciplines into a comprehensive programme. It is well suited for the needs of basic research and for many fields of application. This programme requires a strong commitment from you to develop your own skills and plan your degree. You can tailor your programme according to your existing knowledge and interests, in cooperation with the programme professors.

The programme’s strong scientific emphasis makes it a natural gateway to further studies in physics, mathematics, chemistry, and computer science. This will usually take place within one of the research groups working on the Kumpula campus.

Upon completing the Master’s programme, you will:
-Have a solid basis of skills in your chosen scientific field.
-Have good skills in analytical and computational thinking and deduction.
-Be able to apply theoretical and computational methods to the analysis and understanding of problems in various fields.
-Be able to generalise information on scientific phenomena, and identify the inner relationships.
-Be able to create mathematical models of natural phenomena.
-Be able to solve the models, both analytically and numerically.

As a graduate of this Master’s programme you can work as an expert in many kinds of scientific jobs in the private and the public sectors. The employment rate in this field is good.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

The special feature of this programme is its great scope: it consists of several modules in physics, mathematics, chemistry, and/or computer science. Out of these, you may select a suitable group of subjects according to your interests and the courses you took for your Bachelor's degree. The programme incorporates modules from e.g. the following areas:
-Theoretical physics
-Mathematics
-Cosmology and particle physics
-Computational physics
-Physical chemistry
-Laser spectroscopy
-Mathematical physics and stochastics
-Applied analysis
-Software engineering
-Theoretical computer science

The courses include group and lecture instruction, exercises, literature, and workshops. Most courses also include exams or project assignments. In addition, you can complete some courses independently, by taking exams.

Selection of the Major

This Master’s programme does not have any sub-programmes; instead, can can tailor a suitable combination according to your plans and existing knowledge from the modules in physics, mathematics, chemistry, and computer science. Your personal study plan will ensure that your courses will form a functional combination.

Programme Structure

The Master’s programme comprises 120 credits (ECTS) and it is possible to complete the degree in two academic years. The degree includes:
-90 credits of courses in the Master’s programme, including the Master’s thesis (Pro gradu) of 30 credits.
-30 credits of other courses from your Master’s programme or other programmes.

Your studies will include a personal study plan, working-life orientation, and career planning. The other studies could also include a traineeship, complementary courses in your major or minor subject, or a completely new minor subject.

Career Prospects

The Master’s degree in sciences applying theoretical and computational methods gives you an excellent basis for postgraduate studies or for work in many careers in Finland or internationally. Masters of Science employed within research and R&D in industry are very well paid. On the other hand, a career at the university or a research institute lets you carry out academic research on a topic of your own choosing.

As a graduate with an MSc degree you could embark on a career in:
-Industry, especially advanced technology corporations (applied research and R&D, leadership).
-Universities and research institutes abroad and in Finland (basic scientific research).
-Teaching in universities and universities of applied sciences.
-Software engineering, e.g. gaming industry.
-Various design and consultation jobs in the public and private sectors.

Graduates of similar programmes in the earlier degree system have found employment as researchers and teachers in universities and research institutes in Finland and abroad (e.g. CERN, ESA, NASA), for example, in administration (e.g. the Finnish Academy), and in private corporations. The strong analytical skills provided by the education are sought after in areas such as data analysis (industries, media companies, gaming industry, finance), and corporate research, product development, and consultation (e.g. Nokia, Ericsson, Apple, Sanoma, Spinverse, Supercell, Nielsen, Valo Research and Trading, Planmeca, Reaktor, Comptel, Vaisala, KaVo Kerr Group, IndoorAtlas and Goldman Sachs).

Internationalization

The Master’s programme works in a very international atmosphere, with many top researchers from Finland and abroad teaching in it. If you write your MSc thesis in one of the research groups, you will get first-hand experience of work in an international research project. In addition, the University of Helsinki and the Faculty of Science offer you many opportunities for international activities:
-Student exchange in one of the exchange locations of the faculty or university.
-Traineeships abroad.
-Courses given in English within the faculty.
-Cooperation with students in the international programme.
-International tasks within the students’ organisations or union.
-Language courses at the Language Centre of the University of Helsinki.

The Faculty of Science aims to be at the cutting edge of European research within its disciplines.

The collaboration partners include several top international research centres, such as CERN, ESA, ESRF, and ITER.R.

As a graduate student at the Faculty of Science, you will be able to apply for research training at places such as CERN in Geneva, Switzerland, or the ESRF centre in Grenoble, France. A traineeship in one of the internationally active research groups on campus will enable you to acquaint yourself and form contacts with the international research community during your studies. In addition, the international exchange programmes offer many opportunities for you to complete part of your degree at a foreign university.

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