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Masters Degrees (Computer Science And Mathematics)

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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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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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Take advantage of one of our 100 Master’s Scholarships to study Theoretical Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Theoretical Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

Computer Science is at the cutting edge of modern technology, is developing rapidly, and Swansea Computer Science graduates enjoy excellent employment prospects.

Computer Science now plays a part in almost every aspect of our lives - science, engineering, the media, entertainment, travel, commerce and industry, public services and the home.

The MSc by Research Theoretical Computer Science enables students to pursue a one year individual programme of research. The
Theoretical Computer Science programme would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.

As a student of the Theoretical Computer Science MSc by Research programme, you will be fully integrated into one of our established computer science research groups and participate in research activities such as seminars, workshops, laboratories, and field work.

Key Features of Theoretical Computer Science

The Department of Computer Science is amongst the top 25 in the UK, with a growing reputation in research both nationally and internationally in computer science. It is home to world class researchers, excellent teaching programmes and fine laboratory facilities.

All postgraduate Computer Science programmes will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

Links with Industry

Each spring, Computer Science students prepare and present a poster about their project at a project fair – usually together with a system or software demonstration. The Department of Computer Science also strongly encourages students to create CVs and business cards to take along to the fair, as businesses and employers visit to view the range of projects and make contact with the graduating students.

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Take advantage of one of our 100 Master’s Scholarships to study Computer Science. Informatique at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Computer Science: Informatique at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

The MSc in Computer Science: Informatique is a Dual Degree scheme between Swansea University and Université Grenoble Alpes for computer science.

The MSc in Computer Science: Informatique Grenoble dual degree scheme is a two year programme that provides students with an opportunity to study in both Swansea, UK and Grenoble, France. One year of the Computer Science: Informatique programme students study at Swansea University and the second year of the programme students study at Université Grenoble Alpes. Upon successful completion of the programme, students will receive an M.Sc. in Advanced Computer Science from Swansea University and a Master from Université Grenoble Alpes.

Key Features of Computer Science: Informatique MSc

- We are top in the UK for career prospects [Guardian University Guide 2018]
- 5th in the UK overall [Guardian University Guide 2018]7th in the UK for student satisfaction with 98% [National Student Survey 2016]
- We are in the UK Top 10 for teaching quality [Times & Sunday Times University Guide 2017]
- 12th in the UK overall and Top in Wales [Times & Sunday Times University Guide 2017]
- 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]
- UK TOP 20 for Research Excellence [Research Excellence Framework 2014]
- Our Project Fair allows students to present their work to local industry
- Strong links with industry
- £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)
- Top University in Wales [Times & Sunday Times University Guide 2017]

Modules of Computer Science: Informatique MSc

Modules on the MSc in Computer Science: Informatique may include:

Critical Systems; IT-Security: Theory and Practice; Visual Analytics; Data Science Research Methods and Seminars; Big Data and Data Mining; Data Visualization; Human Computer Interaction; Big Data and Machine Learning; Web Application Development; High Performance Computing in C/C++; Software Testing; Graphics Processor Programming; Embedded System Design; Mathematical Skills for Data Scientists; Logic in Computer Science; Computer Vision and Pattern Recognition; High-Performance Computing in C/C++; Hardware and Devices; Modelling and Verification Techniques; Operating Systems and Architectures.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of our expansion, we are building the Computational Foundry on our Bay Campus for computer and mathematical sciences. This development is exciting news for Swansea Mathematics who are part of the vibrant and growing community of world-class research leaders drawn from computer and mathematical sciences.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Computer Science Graduates were in professional level work or study [DLHE 14/15].

Some example job titles include:

Software Engineer: Motorola Solutions
Change Coordinator: Logica
Software Developer/Engineer: NS Technology
Workflow Developer: Irwin Mitchell
IT Developer: Crimsan Consultants
Consultant: Crimsan Consultants
Programmer: Evil Twin Artworks
Web Developer & Web Support: VSI Thinking
Software Developer: Wireless Innovations
Associate Business Application Analyst: CDC Software
Software Developer: OpenBet Technologies
Technical Support Consultant: Alterian
Programming: Rock It
Software Developer: BMJ Group

Research

The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

Read less
Take advantage of one of our 100 Master’s Scholarships to study Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

As an MSc by Research Computer Science student you will be guided by internationally leading researchers in the field of computer science and will carry out a large individual research project. Computer Science is at the cutting edge of modern technology, and is developing rapidly and Swansea Computer Science graduates enjoy excellent employment prospects.

Computer Science now plays a part in almost every aspect of our lives - science, engineering, the media, entertainment, travel, commerce and industry, public services and the home.

The MSc by Research Computer Science degree enables you to pursue a one year individual programme of research in the field of computer science and would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.

The MSc by Research programmes including Computer Science MSc by Research all have a recommended initial research training module (Science Skills & Research Methods), but otherwise has no taught element and is most suitable for you if you have an existing background in biosciences or cognate discipline and are looking to pursue a wholly research-based programme of study.

As a student of the MSc by Research Computer Science programme you will be fully integrated into one of our established research groups and participate in research activities such as seminars, workshops, laboratories, and field work.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

Links with Industry

Each spring, Computer Science students prepare and present a poster about their project at a project fair – usually together with a system or software demonstration. We also strongly encourage students to create CVs and business cards to take along to the fair, as businesses and employers visit to view the range of projects and make contact with the graduating students.

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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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The Department of Computer Science at Binghamton University aims to provide all graduates with a strong foundation in computer science while also offering the opportunity to pursue specific interests within computer science and/or interests in other disciplines. Read more
The Department of Computer Science at Binghamton University aims to provide all graduates with a strong foundation in computer science while also offering the opportunity to pursue specific interests within computer science and/or interests in other disciplines. The program provides students with an understanding of the theory and practice of automating the representation, storage and processing of information, while emphasizing experimental research to design and engineer a wide variety of computer and information systems.

The Master of Science in Computer Science (MSCS) is intended for students with a strong background in computer science and a desire to prepare for research studies or professional practice. If you have bachelor's degree in computer science or a related field, you're invited to apply for admission to our MSCS program.

The doctoral program leads to a PhD in Computer Science. Students admitted into the program typically have a master's degree in computer science or a closely related discipline. Students with a bachelor's degree and a strong academic record may also be directly admitted.

Recent doctoral graduates have gone on to careers in as software engineering at Intel, eBay, Cisco Systems, positions at Hewlett Packard, Microsoft, Twitter, Bloomberg, the Air Force Research Lab, and the U.S. Census. Academic placements include assistant professorships at California State University at Fullerton, Valdosta State University, and Harran University, Turkey.

The Master's program leads to a Master of Science in Computer Science. It is intended for students with a strong background in computer science and a desire to prepare for research studies or professional practice. Holders of the baccalaureate degree in computer science or a related field are invited to apply for admission to the MSCS program. Students whose undergraduate degree is not in computer science may be required to complete some preparatory work in addition to fulfilling the requirements listed below.
Program requirements include four core courses taken over the first two semesters of study. These courses are Computer Organization and Architecture, Operating Systems, Programming Languages and Design & Analysis of Computer Algorithms. Three graduating options are offered: a thesis option, a project option and a comprehensive exam. Beyond the 4 core courses, these options require students to complete 4, 5 and 6 elective courses, respectively, chosen from a broad set of courses offered by the Department.

Applicant Qualifications

- Undergraduate major in computer science or related field desirable for admission
- Applicants are additionally expected to have completed coursework in the following areas:
*Algorithms and data structures
*Computer organization and architecture
*Operating systems
*Programming languages
*Discrete mathematics

All applicants must submit the following:

- Online graduate degree application and application fee
- Transcripts from each college/university you have attended
- Two letters of recommendation (three letters of recommendation for PhD applicants)
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee.
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores

And, for international applicants:
- International Student Financial Statement form
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores

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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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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 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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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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Degree. Master of Science (two years) with a major in Computer Science and Engineering. Computer science and technology play a key role in every part of the modern world. Read more
Degree: Master of Science (two years) with a major in Computer Science and Engineering.

Computer science and technology play a key role in every part of the modern world. The Computer Science master's programme is centred on the need for computer scientists to master the theoretical foundations of the field and be able to apply and integrate them with other technologies.

The first semester of the programme comprises mandatory core courses in theoretical computer science and programming such as Theory of Computing and Database Technology.

The second and third semesters include elective courses based on students areas of specialisation such as: artificial intelligence, databases and data mining, internet computing, the design and programming of computer games, information security, language technology, human-computer interaction, theoretical computer science or the design and implementation of computer languages.

As the courses given during the programme address both theoretical and practical issues, applicants are expected to have an adequate background in computer science and good programming skills, see the specific requirements.

The Computer Science master's programme focuses on the acquisition of skills necessary for a career at the frontline of modern software technology such as operative system designer, Internet security specialists or game engine programmer. The programme also prepares students for a career in research or continued studies towards a doctoral degree.

The programme is taught at Linköping University, the home of one of the largest centres of computer science and engineering in Northern Europe with 175 employees, including 20 full professors, and internationally renowned for the high quality of its research and education. The research at the Department of Computer Science covers a broad spectrum of topics such as artificial intelligence, cognitive science, security, databases, distributed systems, embedded and real-time systems, human-computer interaction, software engineering.

Welcome to the Institute of Technology at Linköping University

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Do you already have an academic bachelor’s degree in another scientific field and do you want to pursue your academic career in the field of Computer Science?… Read more
Do you already have an academic bachelor’s degree in another scientific field and do you want to pursue your academic career in the field of Computer Science? Then the master’s in Applied Computer Sciences is the programme you’re looking for! It is organised in such a way to accommodate your scientific background and future-oriented academic interests – developing the necessary Computer Science skills by complementing your primary field of expertise. Above all that, we offer a wide variety of highly specialised elective courses.

Approach

The first year of the programme focuses on developing knowledge of computer science concepts and techniques, with respect to the earlier studies. Lectures address both hardware and software. Elective courses in the second year allow applying the skills established in the first year, in a specialization, such as software development, telecommunications, multimedia, numeric engineering, bioinformatics, or robotics, as well as many other possibilities. Practical sessions and a master's thesis are also built into the study program.

 All areas of computer science are covered
The programme offers lectures in all traditional areas of the computer science and also in more specialized fields like software engineering, embedded systems, web design, telecommunications, multimedia, bioinformatics, robotics and many other subjects.

 Adaptable to your background and field of interest
Since Computer Science has become a diffuse area, we decided to organize this programme in a way that it can be adapted to the background and the field of interest of the student. Students start with a number of courses (depending on their background) summarizing the basic concepts in order to gain enough knowledge to be able to take elective courses and to make a master thesis in their field of interest. All this happens in an academic environment where research is done in all topics with great interaction among the researchers and large involvement of the students.

Joint organisation of two departments provides wide range of research topics
Two departments, the Department of Computer Science in the Faculty of Science and the Department of Electronics and Informatics in the Faculty of Engineering, jointly organise the Master programmes. Together, they have more than 200 researchers who cover a wide range of research topics.

Learning outcomes

During the two master years students are able to continue to build on the broad ranging basic scientific knowledge acquired as part of their Bachelor programme, complemented with the Information Technology profile, combining a multidisciplinary engineering training with an in-depth specialisation in Applied Computer Science.

The Master of Science in Applied Sciences and Engineering : Applied Computer Science programme is designed to train young people who are capable of making an effective contribution to the conception, realisation and coaching of projects of scientific and/or technological scope for the benefit of the fast-changing world we live in.

Curriculum

Available on http://www.vub.ac.be/en/study/applied-sciences-and-engineering-applied-computer-science/programme

Admission requirements

Applicants should have at least a bachelor degree in one of the following areas:
- Engineering
- Mathematics
- Geography/Geology
- Biology/ Biochemistry/ Biotechnology/ Chemsitry
- Economics
- Physics
Students holding a Bachelor’s or Master's degree in another field of the exact sciences or engineering can also apply.

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The Master of Science is intended for those who have a Bachelor's degree in Computer Science or related field, or have sufficient preparation. Read more
The Master of Science is intended for those who have a Bachelor's degree in Computer Science or related field, or have sufficient preparation.

The purpose of the programs is to provide the intellectual and practical tools that professionals will need either to pursue or further careers as computer scientists in industry or to pursue a doctorate degree in computer science.

Curriculum

The Master's curriculum is designed with these goals in mind:

• The core modules provide a solid foundation in the fundamental principles of computer science.
• The 500-level electives give exposure to a variety of Computer Science subject areas.
• The 600-level advanced courses give exposure to research topics of current interest and provide in-depth knowledge.

Core: All four modules (12 credits – 3 credits each)

CSC520 — Foundations of Computer Science
CSC530 — Data Structures
CSC540 — Programming Languages
CSC560 — Analysis of Algorithms

Electives: At least four 500-level electives (at least 12 credits – 3 credits each)

CSC525 — Operating Systems
CSC535 — Networks and Data Communications
CSC545 — Database System Concepts
CSC555 — Software Engineering
CSC565 — Compiler Design
CSC570 — Computer Architecture
CSC573 — Graphics and User Interfaces
CSC575 — Artificial Intelligence
CSC581 — Topics in Computer Science
CSC582 — Topics in Information Systems
CSC583 — Topics in Computer Security
CSC584 — Topics in Web Technology
CSC585 — User Interfaces in Java
CSC586 — System Administration and Security
CSC587 — Web Services
CSC588 — Wireless Programming and Security
CSC589 — UML and Pattern Design

Advanced: At least two 600-level (at least 6 credits – 3 credits each)

CSC600 — Advanced Seminar
CSC603 — Advanced Seminar in Computer Security
CSC604 — Advanced Seminar in Web Technology
CSC605 — Internship
CSC610 — Independent Research
CSC620 — Master's Thesis

To find out more information about the curriculum please visit the website:

http://www.cs.wcupa.edu/grad/masters.html

Internships

West Chester University students may register for a Computer Science Internship and work part time or full time in Summer II or during regular semesters. Students who are not Computer Science majors should use CSC300 (3 credits). Computer Science majors should use CSC400 (6 credits); of the 6 credits, 3 credits can be used to satisfy the major requirements, and the other 3 credits satisfy general electives. Computer Science graduate students should use the course number CSC605 (3 credits).

For more information please visit the website:

https://www.wcupa.edu/internships/

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Take advantage of one of our 100 Master’s Scholarships to study Mathematics at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Mathematics at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

The MSc Mathematics course has been designed for students who wish to build on their BSc, extending their range of mathematics expertise across a broader spread of topics, and demonstrating their literature research skills through an extended dissertation.

Such a qualification will mark graduates out as having a broader and deeper understanding of mathematics, and the skills required to pursue a significant project with a high level of independence, presenting their results in a written report. This will give MSc Mathematics graduates an edge in the ever more competitive jobs market.

On the Mathematics course you will study different elements of mathematics in a broad sense - including mathematical elements of computing if desired - in addition to developing your research, project management, and written communication skills through a project you will undertake. As a student of MSc in Mathematics, you will be fully supported to ensure that your project further develops an excellent foundation for your future career plans.

Modules

Modules on the MSc Mathematics include:

• Algebraic coding theory
• Biomathematics
• Black-Scholes theory
• Data science
• Differential geometry
• Fourier analysis
• Ito calculus
• Lie theory
• Numerical analysis
• Partial differential equations
• Stochastic processes
• Statistical mechanics
• Topology

Please visit our website for a full description of modules for the MSc Mathematics.

On top of the Mathematics modules you study, you will also complete a dissertation as part of your studies.

Facilities

The Aubrey Truman Reading Room, located in the centre of the Department of Mathematics, houses the departmental library and computers for student use. It is a popular venue for students to work independently on the regular example sheets set by their lecturers, and to discuss Mathematics together.

Our main university library, Information Services and Systems (ISS), contains a notably extensive collection of Mathematics books.

Mathematics students will benefit from the £31m Computational Foundry for computer and mathematical sciences which will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

Careers

The ability to think rationally and to process data clearly and accurately are highly valued by employers. Mathematics graduates earn on average 50% more than most other graduates. The most popular areas are the actuarial profession, the financial sector, IT, computer programming and systems administration, and opportunities within business and industry where employers need mathematicians for research and development, statistically analysis, marketing and sales.

Some of our Mathematics students have been employed by AXA, BA, Deutsche Bank, Shell Research, Health Authorities and Local Government. Teaching is another area where Mathematics graduates will find plenty of career opportunities.

Research

The results of the Research Excellence Framework (REF) 2014 show that our research environment (how the Department supports research staff and students) and the impact of our research (its value to society) were both judged to be 100% world leading or internationally excellent.

All academic staff in Mathematics are active researchers and the department has a thriving research culture.

http://www.swansea.ac.uk/postgraduate/taught/science/mscmathematics/

Student Profile

"Further to my studies at Swansea University as a Master of Science graduate in Financial Mathematics, I am currently working at Deutsche Bank in London as part of the Structured Financial Services team providing client services for corporate lending and debt portfolios. The complex nature of the Mathematics course has helped me become a logical decision maker and a highly skilled problem solver. These transferable skills are very useful in the world of Finance since the role is highly challenging working towards deadlines and structured transaction targets. My studies at Swansea University have also enriched me with leadership, motivational skills and have enhanced my communication skills. I work in a close team of 10 people within a large department which encourages a culture that strives towards learning and effective teamwork. I thoroughly enjoyed my time at Swansea University and cherish the many fond memories. I am so pleased to be expanding my horizon within a major financial centre."

Rhian Ivey, BSc Mathematics, MSc Mathematics and Computing for Finance

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