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Masters Degrees (Language 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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The Department of Education offers a one-year (12 month) taught full time MA in Science Education. This programme will be attractive to all those who have an interest in science education, whether as teachers, researchers or policy makers. Read more
The Department of Education offers a one-year (12 month) taught full time MA in Science Education. This programme will be attractive to all those who have an interest in science education, whether as teachers, researchers or policy makers. Applications are welcomed from both home and international students.

Applicants are strongly advised to ensure that they submit applications no later than 1st September if they wish to begin a course of study beginning in the same year. No guarantee can be offered that applications received after this date will be processed for a September start date.

The Department also welcomes applications from people interested in studying for a PhD in science education in its areas of expertise (see below).

Why come to York?

The University of York Science Education Group (UYSEG) has an outstanding international reputation for the excellence of its work in research and curriculum development in science education. Our school science programmes such as Science: the Salters Approach, Salters Advanced Chemistry, Salters Horners Advanced Physics and, most recently, Salters Nuffield Advanced Biology and 21st Century Science are widely used in this country, and have received international acclaim. Science: the Salters Approach and Salters Advanced Chemistry have been adapted for use in many other countries, including Belgium, Hong Kong, The Netherlands, New Zealand, Russia, South Africa, Spain, Swaziland and the USA. If you come to York, you will have the opportunity to work with one of the leading groups in science education.

As members of the University of York Science Education Group, the science education staff in the Department of Education have made a significant contribution to the high profile of science education at York. Science specialist staff currently in the Department include Professor Robin Millar, Professor Judith Bennett, Martin Braund and Fred Lubben. All hold major grants for research and development in science education.

Areas of expertise include assessment, attitudes to science, the use of context-based approaches to the teaching of science, curriculum development (including international collaboration on projects), evaluation of curriculum interventions, gender issues in science education, practical work in science, scientific literacy, systematic reviews of research literature, and the transition from primary to secondary school. Current international work includes involvement in the PISA (Programme for International Student Assessment) project and a number of initiatives in Southern Africa.

The reputation of the University of York Science Education Group was a major contributory factor in York being chosen as the home of the new National Science Learning Centre, which opened in September 2005 and offers a programme of professional development courses for science teachers.

Programme Aims

The programme offers specialist tuition within an established framework for MA provision in the Department. The aims of the programme are:
-To enhance knowledge and understanding in science education
-To develop educational research capabilities and skills in the fields of education and science education
-To contribute, where appropriate, to professional development by enhancing capacity to investigate aspects of one or more of educational theory, policy and practice

Programme Content

Term 1
-Science, Education and Society (20 credits)
-Research methods in education (20 credits)

One option module from a list of about 10 (20 credits). Options are likely to include:
-Bilingualism
-Citizenship education
-Cross-linguistic influences in second language acquisition
-Discourse Analysis
-Education and social justice
-Evaluating ESOL classroom practice
-Intercultural communication in education
-Learning and teaching second/foreign language reading
-Motivation in education
-Teaching and assessing speaking skills
-Teaching and assessing writing skills
-Teaching and learning in schools
-Teaching World English
-Topics in second language acquisition

Term 2
-Recent research and innovation in science education (20 credits)

One option module from a list of about 10 (20 credits). Options are likely to include:
-Approaches to English teaching
-Contemporary issues in teaching
-Cross-cultural perspectives on language and discourse
-Developmental Psycholinguistics
-Learning and teaching grammar in a second language
-Pragmatics: language, meaning and communication
-Psychology of language and language learning
-Qualitative and quantitative data analysis
-Teaching and learning citizenship and global education
-Teaching English for academic purposes
-The practice of English language teaching
-Testing and assessment in English language teaching

Term 3
Planning and Communicating Research (20 credits). Classes are spread over Terms 2 and 3.

The third term and the summer is also devoted to writing a dissertation (60 credits) based on a small-scale research study to be submitted by early September.

Students will also be able to attend the department series of research seminars for Masters students which includes talks by visiting speakers.

Assessment

Students will complete:
-Four assessed coursework essay assignments (each 4,000 to 5,000 words in length)
-An exam in Research Methods in Education
-An assessed presentation + dissertation outline + ethics audit
-A dissertation of 12,000 words in length

Careers

Our graduates find employment in a wide range of sectors within education, but also in journalism, information management, human resources and other careers.

Our postgraduate courses can be used to complement teacher training/development programmes and voluntary or paid roles which focus on the more practical elements of teaching. However, other than our PGCE, our courses are not teacher training programmes in themselves.

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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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The Division of Language and Communication Science in City’s School of Health has an established reputation for teaching and research excellence. Read more
The Division of Language and Communication Science in City’s School of Health has an established reputation for teaching and research excellence. Join the MSc Speech and Language Therapy course and join a profession that makes a real difference to people’s lives.

Students starting PG Dip courses in September 2017 will receive a NHS Tuition Fee Bursary to cover the full tuition fees for the duration of their course.

Who is it for?

Our graduate-entry courses allow graduates with a first degree from disciplines other than healthcare to gain a pre-registration health qualification in two years as opposed to the usual three to four - providing a fast-track route into health.

The MSc in Speech and Language Therapy is designed for students who are committed to a career in speech and language therapy. You will need to have:
-Good listening and communication skills
-Good problem-solving skills
-Good organisational skills
-An ability to learn a range of academic subjects and to apply your learning to clinical practice
-An enthusiasm for working with children and adults and as part of a team.

Objectives

The MSc Speech and Language Therapy course leads to work in a challenging and varied field - you could be working with autistic children, people who stammer or adults who have lost their speech following a stroke.

City's MSc Speech and Language Therapy has an excellent reputation and is based within the largest, teaching, research and clinical division in the UK for language and communication science.

The programme is taught by expert staff who are leaders in the field of speech and language therapy. The innovative and research-informed curriculum is supported by a busy in-house speech and language therapy clinic led by specialist staff and is considered as one of the leading educational environments in the world.

At City we have close links with speech and language therapy services throughout London, with many practitioners from these services acting as clinical tutors on our courses.

Placements

The MSc Speech and Language Therapy course provides many opportunities for clinical practice, including attendance at health centres, schools, departmental clinics, special educational settings and hospitals throughout the London area.

Academic facilities

Speech and language therapy students have access to specialist labs and equipment such as ultrasound and laryngographs to help them understand speech production and audiological equipment when learning about hearing and deafness.

The Roberta Williams Speech and Language Therapy Centre, opened in January 2016, is our specialist speech and language therapy clinic. The Centre contains state-of-the-art equipment to enable staff within the Division of Language and Communication Science to deliver cutting edge research and services to patients.

Moodle is an enhanced Virtual Learning Environment which provides students with access to online course materials, resources, interactive activities, assessment and communication tools and is a key element of our blended learning approach, combining face-to-face teaching with online activity.

Teaching and learning

The MSc in Speech and Language Therapy is a very intensive programme which requires full time study by attending lectures, small-group problem-solving sessions, practical classes and tutorials. You will also have access to the most up-to-date equipment in the Speech Acoustics Laboratory and innovative online learning materials. On clinical placements you will benefit from the supervision of a qualified therapist.

Modules are assessed through a diverse range of assignments and examinations. Your clinical progress will also be monitored by supervising clinicians.

Modules

During the MSc Speech and Language Therapy course you will learn about the foundations of speech and language, about how children learn to talk and about disorders that affect communication. A number of subjects equip you for the analysis of speech, language and hearing difficulties, such as phonetics, linguistics and audiology. You will also develop research skills and the ability to apply evidence based practice. You will undertake weekly and block clinical placements in both years of the course.

Modules
-Articulatory Phonetics, Phonology and Speech Development
-Bio-medical Sciences
-Life Span Psychology and Research Methods
-Speech Disorders, Dysfluency and Augmentative and Alternative
-Dysphagia, Voice, Motor Speech Disorders, Dementia
-Language Sciences: Linguistics and Language Development
-Professional Studies A
-Evidence Based Practice and Data Analysis
-Acoustic Phonetics, Audiology and Deafness
-Acquired and Developmental Language Disorders
-Autism Spectrum Disorder, Learning Disability, Child Mental Health, Cerebral Palsy, Cleft Palate
-Professional Studies B
-Research Project

When you have successfully completed 13 modules totalling 240 credits you will qualify for an MSc Speech and Language Therapy.

Career prospects

On successfully completing the MSc Speech and Language Therapy you are eligible to apply for registration with the Health and Care Professions Council (HCPC), and practise as a speech and language therapist in the NHS and other settings.

A career in speech and language therapy offers opportunities to work with clients of all ages in settings such as:
-Health centres
-Hospitals
-Schools
-Charities
-Universities
-You can also work abroad and in the private sector.

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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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Are you passionate about the dialogue between science and the public? Are you curious about how scientific knowledge is created and consumed in the past, present and future? Scientific change in disciplines ranging from biological and physical sciences to engineering and medicine feels like it has never been so rapid. Read more
Are you passionate about the dialogue between science and the public? Are you curious about how scientific knowledge is created and consumed in the past, present and future? Scientific change in disciplines ranging from biological and physical sciences to engineering and medicine feels like it has never been so rapid. It is increasingly important that developments in science, medicine and technology are effectively communicated so as to allow individuals to have an informed opinion on controversial issues.

*This course will be taught at the Canterbury campus*

Visit the website: https://www.kent.ac.uk/courses/postgraduate/93/science-communication-society

Course detail

The Kent MSc in Science, Communication and Society gives experienced, practical, professional and critical perspectives on science communication. Students will explore how journalists, documentary makers, lobbyists, museum curators, politicians and government research bodies enter into scientific dialogue with the public. The course evaluates different strategies for tailoring science to particular audiences, and is illustrated by specific historical examples and present day issues and controversies. It provides training in practical transferable skills pivotal to communicating science across a range of professional settings, making appropriate use traditional modes of communication alongside current and developing technologies.

Purpose

It is intended primarily, though not exclusively, for the following:

• Science graduates intending to pursue a career in media, education, policy or other communicational area of science;
• Practising scientists wanting a career change into media, education, policy or other communicational area of science;
• Continuing professional development for scientists or teachers of science;
• Humanities graduates with an interest in history of science, technology or medicine.

Format and assessment

The MSc has been developed by the School of Biosciences, a leading school in teaching, research and science communication, and the School of History, which has a dedicated research centre in the History of the Sciences. It integrates current theory and practice in communicating science with insights from historical and ethical perspectives. Two core modules have a case study-driven approach to science communication, learning from key scientific moments in history and from science communicators who work in a variety of different professions (eg, media, politics, education, journalism).

Two optional modules allow you to specialise in a particular area relevant to science communication, based on your interests and experience, focusing on either practical/scientific or humanities-based approaches to the study of science communication. An extended research project allows you to take a practical approach to science communication, or to do in-depth research on a historical or contemporary episode in science.

In some cases, these projects may be undertaken in conjunction with external partners, such as Research Councils, charities and NGOs.

You can opt to take only the core modules, resulting in a postgraduate certificate, or to take the compulsory plus two optional modules, leading to a postgraduate diploma.

Continuous assessment throughout the year is diverse, innovative and context-driven, from short pieces of writing to longer essays, and from the development and evaluation of science communication activities to mock professional reports and grant applications. The aim of each assessment is not only to monitor understanding, but also to integrate information across modules and give you practical experience in a range of transferable skills for future employability.

Careers

The opportunities for careers in science communication are significant as professional science organisations recognise the increasing importance of public engagement. Graduates of this MSc bring together skills drawn from both sciences and humanities, and the programme is designed to build a portfolio of outputs that can be used in subsequent applications, including blogs, funding applications and the development of specific science communication events. Graduates from the programme have moved into roles in museums, medical writing agencies, research funding councils, public engagement roles in professional science organisations, as well as PhD positions in science communication.

How to apply: https://www.kent.ac.uk/courses/postgraduate/apply-online/93

Why study at The University of Kent?

- Shortlisted for University of the Year 2015
- Kent has been ranked fifth out of 120 UK universities in a mock Teaching Excellence Framework (TEF) exercise modelled by Times Higher Education (THE).
- In the Research Excellence Framework (REF) 2014, Kent was ranked 17th* for research output and research intensity, in the Times Higher Education, outperforming 11 of the 24 Russell Group universities
- Over 96% of our postgraduate students who graduated in 2014 found a job or further study opportunity within six months.
Find out more: https://www.kent.ac.uk/courses/postgraduate/why/

Postgraduate scholarships and funding

We have a scholarship fund of over £9 million to support our taught and research students with their tuition fees and living costs. Find out more: https://www.kent.ac.uk/scholarships/postgraduate/

English language learning

If you need to improve your English before and during your postgraduate studies, Kent offers a range of modules and programmes in English for Academic Purposes (EAP). Find out more here: https://www.kent.ac.uk/courses/postgraduate/international/english.html

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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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Environmental earth science (or geoscience) covers a range of topics including hydrology, sedimentology and geomorphology. This course provides specialist skills and knowledge for science graduates wanting to pursue careers in environmental earth science. Read more

What is environmental earth science?

Environmental earth science (or geoscience) covers a range of topics including hydrology, sedimentology and geomorphology.

Who is this course for?

This course provides specialist skills and knowledge for science graduates wanting to pursue careers in environmental earth science. Environmental scientists undertake work such as developing ways to minimise the impacts of humans on the natural environment.

Course learning outcomes

The graduates of James Cook University are prepared and equipped to create a brighter future for life in the tropics world-wide.
JCU graduates are committed to lifelong learning, intellectual development, and to the display of exemplary personal, professional and ethical standards. They have a sense of their place in the tropics and are charged with professional, community, and environmental responsibility. JCU graduates appreciate the need to embrace and be acquainted with the Aboriginal and Torres Strait Islander Peoples of Australia. They are committed to reconciliation, diversity and sustainability. They exhibit a willingness to lead and to contribute to the intellectual, environmental, cultural, economic and social challenges of regional, national, and international communities of the tropics.
On successful completion of the Graduate Diploma of Science, graduates will be able to:
*Integrate and apply advanced theoretical and technical knowledge in one or more science disciplines
*Retrieve, analyse, synthesise and evaluate knowledge from a range of sources
*Plan and conduct reliable, evidence-based laboratory and/or field experiments/practices by selecting and applying methods, techniques and tools, as appropriate to one or more science disciplines
*Organise, analyse and interpret complex scientific data using mathematical, statistical and technological skills
*Communicate complex scientific ideas, arguments and conclusions clearly and coherently to a variety of audiences through advanced written and oral English language skills and a variety of media
*Identify, analyse and generate solutions to unpredictable or complex problems, especially related to tropical, rural, remote or Indigenous contexts, by applying scientific knowledge and skills with initiative and high level judgement
*Explain and apply regulatory requirements, ethical principles and, where appropriate, cultural frameworks, to work effectively, responsibly and safely in diverse contexts
*Reflect on current skills, knowledge and attitudes to manage their professional learning needs and performance, autonomously and in collaboration with others.

Award title

GRADUATE DIPLOMA OF SCIENCE (GDipSc)

Course articulation

Students who complete the Graduate Diploma of Science are eligible for entry to the Master of Science, and may be granted advanced standing for all subjects completed under the Graduate Diploma.

Entry requirements (Additional)

English band level 1 - the minimum English Language test scores you need are:
*Academic IELTS – 6.0 (no component lower than 5.5), OR
*TOEFL – 550 (plus minimum Test of Written English score of 4.0), OR
*TOEFL (internet based) – 79 (minimum writing score of 19), OR
*Pearson (PTE Academic) - 57

If you meet the academic requirements for a course, but not the minimum English requirements, you will be given the opportunity to take an English program to improve your skills in addition to an offer to study a degree at JCU. The JCU degree offer will be conditional upon the student gaining a certain grade in their English program. This combination of courses is called a packaged offer.
JCU’s English language provider is Union Institute of Languages (UIL). UIL have teaching centres on both the Townsville and Cairns campuses.

Minimum English language proficiency requirements

Applicants of non-English speaking backgrounds must meet the English language proficiency requirements of Band 1 – Schedule II of the JCU Admissions Policy.

Why JCU?

James Cook University brings together a team of academic and associate staff across multiple disciplines.
*Nationally-recognised leader in geoscience
*state-of-the-art research and teaching facilities
*internationally-acclaimed academic teaching staff
*strong collaboration with industry and research organisations, both locally and internationally.

Career Opportunities

A postgraduate qualification from JCU can enhance your career prospects, enable you to reskill and change careers completely, or develop a specialist area of expertise and personal interest.
Earth science and environmental science graduates enjoy well-paid careers in Australia and overseas. A range of opportunities await graduates in the academia as well as in private and public sectors.
As an Environ mental Scientist, for instance, you will measure and record features of the environment and study, assess and develop methods of controlling or minimizing the harmful effects of hum an activity on the environment.
Graduates can also get jobs as research assistants or support staff for teaching. With a PhD, you can gain research positions (Postdoctoral, Fellowships) that are often funded for a few years or apply for permanent positions as a lecturer and researcher.

Application deadlines

*1st February for commencement in semester one (February)
*1st July for commencement in semester two (mid-year/July)

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Expand your knowledge in all areas of forensic science, from gathering evidence at the crime scene itself, right through to the courtroom. Read more
Expand your knowledge in all areas of forensic science, from gathering evidence at the crime scene itself, right through to the courtroom. Develop your skills and knowledge on our accredited course, as you collect and analyse evidence, equipping you to become a confident and effective practitioner.

See the website http://www.anglia.ac.uk/study/postgraduate/forensic-science

In-keeping with its industry-focus our Chartered Society of Forensic Sciences accredited course is taught by experienced forensics practitioners. We’ll immerse you in a practical environment that closely emulates a real forensics laboratory. The analytical skills and expertise you gain apply equally well in the broader scientific and technological fields as they do in forensics.

Our course combines practical skills with high-level theoretical knowledge of the wide range of forensic techniques you need to apply at all stages of an investigation. Going further still, you’ll be trained to design and execute your own research project in a relevant area, which particularly interests you. This will include guidance on research methods, good practice, presentation and the application of your research.

Full-time - January start, 15 months. September start, 12 months.
Part-time - January start, 33 months. September start, 28 months.

See the website http://www.anglia.ac.uk/study/postgraduate/forensic-science

This course will provide you with:
• the opportunity to acquire Masters level capabilities, knowledge and skills in diverse areas of forensic science from the crime scene to the court
• training in the design and execution of science based research in an appropriate area of forensic science
• the opportunity to undertake a formal research programme in an appropriate area of forensic science

The intention is to immerse you in an environment that is as realistically close to that of a practising forensic science laboratory as is possible in an academic institution. The experience and background of Anglia Ruskin's staff, their intimate knowledge and working relationships with the industry and the availability or new or relatively new purpose-built laboratory facilities places this course in a strong position to deliver such an experience.

This course is suitable for candidates who wish to specialise in Forensic Science as a progression from their first degree in forensic science and for candidates coming into Forensic Science with a strong background in traditional analytical science. This course is accredited by The Forensic Science Society

On successful completion of this course you will be able to:
• demonstrate deep and systematic knowledge of several major areas of forensic science, including either chemical or biological criminalistics.
• apply theoretical and experimentally based empirical knowledge to the solution of problems in forensic science
demonstrate that you are cognisant with the best ethical practices, validation and accreditation procedures relevant to forensic science.
• demonstrate a comprehensive understanding of the theory and practice of advanced analytical techniques, as used and applied in forensic science.
• devise, design, implement and, if necessary, modify a programme of basic research directly related to the solution of practical problems in the broad field of forensic science.
• assimilate the known knowledge and information concerning a particular problem/issue and erect testable and viable alternative hypotheses, from theoretical and empirical/experimental view points.
• demonstrate a level of conceptual understanding that will enable information from a wide range of sources and methodologies to be comprehensively and critically appraised.
• operate competently, safely and legally in a variety of complex, possibly unpredictable contexts and be able to apply appropriate standards of established good practice in such circumstances.
• demonstrate that you are able to exercise initiative in your work tasks, but yet be able to exercise your responsibility so as not to move beyond the scope of your expertise.
• search for and obtain information from a wide range of traditional, non-traditional and digital/electronic sources and be able to synthesis it into a coherent argument.
• present the results of your work in a number of forms (reports, papers, posters and all forms of oral presentation) at a level intelligible to the target audience (highly trained/specialised professional to informed lay-person).
• organise your own time and patterns of work to maximum effect and be able to work competently either autonomously or as part of groups and teams as required.

Careers

Our course is enhanced by our excellent working relationships with most of the major employers in the forensic science industry, including the police and fire services.

This focus on theory and good laboratory practice, analytical measurement and research and management skills, together with our industry contacts will make you an attractive candidate for employment. It’ll open up career opportunities in specialist forensic science laboratories in the chemical, biological, environmental, pharmaceutical and law enforcement industries.

You’re also in the perfect position to continue your academic career and move up to our Forensic Science PhD.

Core modules

Evidence Collection and Management
Mastering Forensic Evidence
Mastering Forensic Analysis
Specialist Topics
Research Methods
Research Project

Assessment

Your progress will be assessed using a variety of methods including laboratory reports, court reports (including witness statements), presentations, exams, essays and reports.

Facilities

Wide range of advanced microscopy instruments. SEM with EDS. Full range of organic analysis (GC, GC-MS, HPLC and ion chromatography). FT-IR and Raman spectrometers. Gene sequencing and other DNA analytical equipment. Comprehensive collection of specialist forensic equipment including GRIM, VSC and MSP. Dedicated crime scene facility with video equipment.

Your faculty

The Faculty of Science & Technology is one of the largest of five faculties at Anglia Ruskin University. Whether you choose to study with us full- or part-time, on campus or at a distance, there’s an option whatever your level – from a foundation degree, to a BSc, MSc, PhD or professional doctorate.

Whichever course you pick, you’ll gain the theory and practical skills needed to progress with confidence. Join us and you could find yourself learning in the very latest laboratories or on field trips or work placements with well-known and respected companies. You may even have the opportunity to study abroad.

Everything we do in the faculty has a singular purpose: to provide a world-class environment to create, share and advance knowledge in science and technology fields. This is key to all of our futures.

Specialist facilities

Our facilities include a wide range of advanced microscopy instruments – SEM with EDS, a full range of organic analysis (GC, HPLC and ion chromatography). FT-IR and Raman Spectrometers, gene sequencing and other DNA analytical equipment. A comprehensive collection of specialist forensic equipment includes GRIM, VSC and MSP and we also have a dedicated crime scene facility with video equipment.

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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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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Data 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 or College of Science Postgraduate Scholarships to study Data 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.

MSc in Data Science aims to equip students with a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. Students of the MSc Data Science will study the computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity. Development of research skills will be an essential element of the Data Science programme so that students can bring a critical perspective to current data science discipline and apply this to future developments in a rapidly changing technological environment.

Key Features of the MSc Data Science

The MSc Data Science programme focuses on three core technical themes: data mining, machine learning, and visualisation. Data mining is fundamental to data science and the students will learn how to mine both structured data and unstructured data. Students will gain practical data mining experience and will gain a systematic understanding of the fundamental concepts of analysing complex and heterogeneous data. They will be able to manipulate large heterogeneous datasets, from storage to processing, be able to extract information from large datasets, gain experience of data mining algorithms and techniques, and be able to apply them in real world applications. Machine learning has proven to be an effective and exciting technology for data and it is of high value when it comes to employment. Students of the Data Science programme will learn the fundamentals of both conventional and state-of-the-art machine learning techniques, be able to apply the methods and techniques to synthesise solutions using machine learning, and will have the necessary practical skills to apply their understanding to big data problems. We will train students to explore a variety visualisation concepts and techniques for data analysis. Students will be able to apply important concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery. The students of the Data Science programme also learn important mathematical concepts and methods required by a data scientist. A specifically designed module that is accessible to students with different background will cover the basics of algebra, optimisation techniques, statistics, and so on. More advanced mathematical concepts are integrated in individual modules where necessary.

The MSc Data Science programme delivers the practical components using a number of programming languages and software packages, such as Hadoop, Python, Matlab, C++, OpenGL, OpenCV, and Spark. Students will also be exposed to a range of closely related subject areas, including pattern recognition, high performance computing, GPU processing, computer vision, human computer interaction, and software validation and verification. The delivery of both core and optional modules leverage on the research strength and capacity in the department. The modules are delivered by lecturers who are actively engaged in world leading researches in this field. Students of the Data Science programme will benefit from state-of-the-art materials and contents, and will work on individual degree projects that can be research-led or application driven.

Modules

Modules for the MSc Data Science programme include:

- Visual Analytics
- Data Science Research Methods and Seminars
- Big Data and Data Mining
- Big Data and Machine Learning
- Mathematical Skills for Data Scientists
- Data Visualization
- Human Computer Interaction
- High Performance Computing in C/C++
- Graphics Processor Programming
- Computer Vision and Pattern Recognition
- 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, 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.

Career Destinations

- Data Analyst
- Data mining Developer
- Machine Learning Developer
- Visual Analytics Developer
- Visualisation Developer
- Visual Computing Software Developer
- Database Developer
- Data Science Researcher
- Computer Vision Developer
- Medical Computing Developer
- Informatics Developer
- Software Engineer

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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate 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 or College of Science Postgraduate 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.

The MSc in Computer Science course is for you if you are a graduate from one of a wide range of disciplines and are looking to change direction or because of the needs of your chosen career, require a solid foundation in Computer Science.

As the use of computers and computer based systems continues to grow in all aspects of life, at home and at work, it is apparent that there will be for years to come a need for many people who can combine a knowledge of Computer Science, the discipline that underlies Information Technology, and degree level knowledge in a wide variety of other disciplines.

Over the duration of the MSc Computer Science course you will study a variety of modules taught by academic staff that are part of internationally renowned research groups. The course is also regularly updated to ensure that it keeps pace with the rapid developments in Computer Science.

Key Features of Computer Science MSc

• We are top in the UK for career prospects*
• We are 3rd in the UK for teaching quality**
• 5th in the UK overall*
• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]
• 7th in the UK overall and Top in Wales*
• High employability prospects - we are 8th in the UK for graduate prospects*
• 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)

*Guardian University Guide 2017
**Times & Sunday Times University Guide 2016

Modules of Computer Science MSc

Modules for the MSc in Computer Science include Computer Science Project Research Methods but please visit our course page for more information.

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.

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 Graduates of Computer Science were in professional level work or study [DLHE 14/15].

Student Profile

“I chose the MSc Computer Science as a conversion from my previous War and Society degree, primarily employment opportunities. The course was by no means easy for me coming from an arts background, and the first few weeks I felt a little over my head, but thanks to the truly stimulating content from the syllabus and the high quality of the teaching within the department I soon caught up and began to thrive on the course. My project revolved around a comparative study of the Haskell Web-Framework Yesod and ASP.NET. During the completion of this I picked up many of the skills that I now use on an everyday basis in my role at Kinspeed (A Sheffield based Software House). Since starting work I have been able to apply many of the skills I obtained during my time at Swansea and have no doubt that choosing to study the MSc Computer Science at Swansea was one of the better decisions of my life.”

Chris Swires

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*).

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Students who wish to know more of the transnational nature of the modern world;. Students who wish to continue their anthropological study at a postgraduate level and engage in critical contemporary theory;. Read more

Who is this programme for?:

Students who wish to know more of the transnational nature of the modern world;

Students who wish to continue their anthropological study at a postgraduate level and engage in critical contemporary theory;

Students who wish to understand cultural transformation from a global perspective;

Students who come from other disciplines, such as Law or Politics, and now wish to incorporate an anthropological perspective on issues of migration and diaspora.

Students with a degree in social anthropology wishing to pursue more specialist migration and diaspora related topics along with regional or language-based study
Students without a previous degree in Anthropology looking for an MA conversion degree to serve as a qualification for pursuing a further research degree in issues relating to migration and diaspora.
The two-year intensive language pathway is directed at students who want to engage with a country in a professional as well as academic way, as the intensive language courses will enable them to reach a near proficient knowledge of the language.

The MA in Migration and Diaspora Studies is a broad-based degree for students who want to receive specialized research training in Migration and Diaspora Studies, including a relevant language, which will prepare them to proceed to advanced postgraduate research in Migration and Diaspora Studies at SOAS or elsewhere.
The programme encourages a transdisciplinary approach to issues of migration and diaspora, providing historical depth as well as perspectives from anthropology, sociology, and postcolonial studies. The programme also works closely with a number of departments across the school, such as Development Studies, the Centre for Gender Studies as well as Law and Politics, which also run migration and diaspora related courses. Most of these courses are available as options on the programme, making it a unique MA in terms of both its breadth and depth.
The MA in Migration and Diaspora Studies is considerably enriched by the SOAS Centre for Migration and Diaspora Studies, which runs seminars, films and public lectures and also hosts a number of international scholars. The Centre is also a part of a migration research network of London colleges including LSE and UCL. Students on the programme therefore have unparalleled access to a critical body of scholars and scholarship on migration and diaspora related issue.

It can also be taken with an intensive language pathway over two years, therefore making this programme unique in Europe.

The Japanese pathway is available for students who have an intermediate level of Japanese. Students will be required to take a placement exam in the week before classes begin in order to determine if their level is suitable. Please contact Professor Drew Gerstle () for further information.

The Korean pathway is designed for beginner learners of Korean. Students with prior knowledge of Korean are advised to contact the programme convenor, Dr Anders Karlsson (). Students will take four course units in the Korean language, one of them at a Korean university during the summer after year 1.

The Arabic pathway is designed for beginner learners of Arabic. Students will take four units of Arabic, one of them at the Qasid Institute in Jordan or another partner institution during the summer after year 1. Programme convenor: Dr Mustafa Shah ()

Visit the website http://www.soas.ac.uk/anthropology/programmes/ma-migration-and-diaspora-studies-and-intensive-language/

Structure

Core course:

- African and Asian Diasporas in the Contemporary World (1 unit)
- Dissertation in Anthropology and Sociology (1 unit)
- Additionally all MA Anthropology students 'audit' the course Ethnographic Research Methods during term 1 - this will not count towards your 4 units.

Foundation course:
- Theoretical Approaches to Social Anthropology (1 unit). This is recommended for students without a previous anthropology degree.

OPTION COURSES
- Students choose their remaining unit (or two units if not taking Theoretical Approaches to Social Anthropology) from the Option Courses list. A language course from the Faculty of Languages and Cultures may also be included.

In the two-year language pathway, students take 2 intensive language units and African and Asian Diasporas in the Contemporary World (1 unit) in their first year. During the summer, they will participate in a summer school abroad (location dependant on language). Upon their return, they will take one intensive language unit in their second year and two optional anthropology units. In the intensive-language pathway, the same rules apply as for the usual MA.

Programme Specification

MA Migration and Diaspora Studies and Intensive Language Programme Specification (pdf; 253kb) - http://www.soas.ac.uk/anthropology/programmes/ma-migration-and-diaspora-studies-and-intensive-language/file93570.pdf

Teaching & Learning

Aims and Outcomes:
- To introduce students to important areas of contemporary social theory which deal with issues of migration, globalisation, the postcolonial world, and cultural transformations.

- To ground students in the historical basis of these issues

- To encourage transdisciplinary thinking on issues of migration

- To enable students to translate theoretical perspectives for practical application in the material world.

- To provide students with a near proficient ability in a language.

Knowledge:

- Students will be expected to grasp the key debates in migration and diaspora studies from a critical perspective

- To understand the global/historical/political and cultural background within which issues of migration and diaspora occur.

- A critical understanding of the ways that migration has shaped the modern world, and the implications of this for future research.

Intellectual (thinking) skills:

- The development of analytical and theoretical skills based on a detailed understanding of the social science literature on migration and diaspora.

- To approach theories and debates from a critical and reflexive basis.

- To develop their presentation skills and their ability to articulate arguments coherently in order to promote class discussion and critical engagement with ideas and practices.

Subject-based practical skills:

- Communicate effectively in writing, in academic English

- Retrieve, sift and select information from a variety of sources including print and other forms of mass media

- Listen to and discuss ideas introduced during seminars.

- Students with no knowledge of media technologies will have the opportunity to learn photographic and film making techniques through the Media unit.

- Practice research techniques in a variety of specialized research libraries and institutes

- In the two year intensive language pathway, to acquire/develop skills in a language to Effective Operational Proficiency level, i.e., being able to communicate in written and spoken medium in a contemporary language

Transferable skills:
Students will be expected to learn to:

- Plan, organise and write masters’ level essays and dissertations.
- Structure and communicate ideas effectively both orally and in writing.
- Understand unconventional ideas.
- Present (non–assessed) material orally.
- Function as a student and researcher in a radically different environment.
- Be able to apply for funding to do a PhD.
- Be prepared to enter a Social Science PhD programme.
- An ability to work, and be at ease in, a multicultural environment

Find out how to apply here - http://www.soas.ac.uk/admissions/pg/howtoapply/

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Color science is broadly interdisciplinary, encompassing physics, chemistry, physiology, statistics, computer science, and psychology. Read more

Program overview

Color science is broadly interdisciplinary, encompassing physics, chemistry, physiology, statistics, computer science, and psychology. The curriculum, leading to a master of science degree in color science, educates students using a broad interdisciplinary approach. This is the only graduate program in the country devoted to this discipline and it is designed for students whose undergraduate majors are in physics, chemistry, imaging science, computer science, electrical engineering, experimental psychology, physiology, or any discipline pertaining to the quantitative description of color. Graduates are in high demand and have accepted industrial positions in electronic imaging, color instrumentation, colorant formulation, and basic and applied research. Companies that have hired graduates include Apple Inc., Benjamin Moore, Canon Corp., Dolby Laboratories, Eastman Kodak Co., Hallmark, Hewlett Packard Corp., Microsoft Corp., Pantone, Qualcomm Inc., Ricoh Innovations Inc., Samsung, and Xerox Corp.

The color science degree provides graduate-level study in both theory and practical application. The program gives students a broad exposure to the field of color and affords them the unique opportunity of specializing in an area appropriate for their background and interest. This objective will be accomplished through the program’s core courses, selection of electives, and completion of a thesis or graduate project.The program revolves around the activities of the Munsell Color Science Laboratory within the College of Science. The Munsell Laboratory is the pre-eminent academic laboratory in the country devoted to color science. Research is currently under way in color appearance models, lighting, image-quality, color-tolerance psychophysics, spectral-based image capture, archiving, reproduction of artwork, color management, computer graphics; and material appearance. The Munsell Laboratory has many contacts that provide students with summer and full-time job opportunities across the United States and abroad.

Plan of study

Students must earn 30 semester credit hours as a graduate student to earn the master of science degree. For full-time students, the program requires three to four semesters of study. Part-time students generally require two to four years of study. The curriculum is a combination of required courses in color science, elective courses appropriate for the candidate’s background, and either a research thesis or graduate project. Students require approval of the program director if they wish to complete a graduate project, rather than a research thesis, at the conclusion of their degree.

Prerequisites: The foundation program

The color science program is designed for the candidate with an undergraduate degree in a scientific or other technical discipline. Candidates with adequate undergraduate work in related sciences start the program as matriculated graduate students. Candidates without adequate undergraduate work in related sciences must take foundation courses prior to matriculation into the graduate program. A written agreement between the candidate and the program coordinator will identify the required foundation courses. Foundation courses must be completed with an overall B average before a student can matriculate into the graduate program. A maximum of 9 graduate-level credit hours may be taken prior to matriculation into the graduate program. The foundation courses, representative of those often required, are as follows: one year of calculus, one year of college physics (with laboratory), one course in computer programming, one course in matrix algebra, one course in statistics, and one course in introductory psychology. Other science courses (with laboratory) might be substituted for physics.

Curriculum

Color science, MS degree, typical course sequence:
First Year
-Principles of Color Science
-Computational Vision Science
-Historical Research Perspectives
-Color Physics and Applications
-Modeling Visual Perception
-Research and Publication Methods
-Electives
Second Year
-Research
-Electives

Other admission requirements

-Submit scores from the Graduate Record Examination (GRE).
-Submit official transcripts (in English) for all previously completed undergraduate and graduate course work.
-Submit two professional recommendations.
-Complete an on-campus interview (when possible).
-Have an average GPA of 3.0 or higher.
-Have completed foundation course work with GPA of 3.0 or higher (if required), and complete a graduate application.
-International applicants who native language is not English must submit scores from the Test of English as a Foreign Language. Minimum scores of 94 (internet-based) are required. International English Language Testing System (IELTS) scores will be accepted in place of the TOEFL exam. Minimum scores will vary; however, the absolute minimum score required for unconditional acceptance is 7.0. For additional information about the IELTS, please visit http://www.ielts.org.

Additional information

Scholarships and assistantships:
Students seeking RIT-funded scholarships and assistantships should apply to the Color Science Ph.D. program (which is identical to the MS program in the first two years). Currently, assistantships are only available for qualified color science applicants to the Ph.D. program. Applicants seeking financial assistance from RIT must submit all application documents to the Office of Graduate Enrollment Services by January 15 for the next academic year.

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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Advanced 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 or College of Science Postgraduate Scholarships to study Advanced 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.

On the MSc in Advanced Computer Science course you will be thoroughly prepared for a career in IT or related industries. The Advanced Computer Science course is for you if you are a Computer Science graduate or if you have gained experience of computing and programming in a different first degree. Willingness to work hard and an ability to problem solve are equally important for this MSc in Advanced Computer Science. The MSc in Advanced Computer Science course will develop the skills and knowledge you have gained from your first degree by broadening and deepening your knowledge of Computer Science through a variety of advanced modules and material. The MSc in Advanced Computer Science is accredited by the British Computer Society.

Key Features of Advanced Computer Science MSc

• We are top in the UK for career prospects*
• We are 3rd in the UK for teaching quality**
• 5th in the UK overall*
• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]
• 7th in the UK overall and Top in Wales*
• High employability prospects - we are 8th in the UK for graduate prospects*
• 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)

*Guardian University Guide 2017
**Times & Sunday Times University Guide 2016

Modules of Advanced Computer Science MSc

Modules for the MSc in Advanced Computer Science include Computer Science Project Research Methods but please visit our course page for more information.

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.

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 Graduates of Computer Science were in professional level work or study [DLHE 14/15]

Student Profile

Francesca Madeddu, originally from Italy, completed an outstanding Master’s thesis (which earned her a distinction) investigating interaction with augmented reality on mobile devices. More specifically, she investigated how to interact with virtual Egyptian artefacts placed in real scenes. The final game was deployed at Swansea's Egypt Centre last year and was evaluated by volunteers working at the museum. A Master’s thesis does not often lead to a publication. However, part of Francesca's research was written up as an extended abstract and presented at Computer Graphics and Visual Computing (CGVC), a Eurographics UK conference for visual computing last year. An exceptional achievement!