Masters Degrees (Science)

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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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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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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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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Our MSc in Science Communication combines professional practice, policy studies and cross-disciplinary theory and skills, to offer an academically stimulating experience and a solid grounding for a career.

Developed by academic staff from The University of Manchester's Centre for the History of Science, Technology and Medicine and Manchester Institute of Innovation Research , the programme will feature masterclasses and project support from leading professionals in print, broadcast and online journalism, museums and science centres, public policy and advocacy, specialist public relations and editorial services, project and event management, together with experienced science communicators from across the University.

Aims

Science communication deals with the communication of scientific ideas, practices and issues to diverse audiences. Students on this programme will spend time building up practical communication skills, and thinking about the broad range of challenges that science communicators face. Does science communication matter for society? Whose interests are furthered by science news? What are the ethical issues in the communication of health research? When we talk about public engagement, what kind of public do we mean?
The course considers these questions among others through insights drawn from history, innovation and policy research, media studies, and the first-hand experience of long-serving communicators, and feeds the discussion back into its approach to practical skills.

Special features

This programme provides a framework that enables to students to enhance their academic and 'real world' learning at the same time. By bringing practitioners into the classroom, and enabling students to participate in the many forms of science communication that are happening in Manchester, students gain a good sense of the range of science communication activity, and of the personal, intellectual and professional skills that will support them as they set off in their careers.

Applicants may informally request from the Course Director, or may be sent, examples of study materials to enable them to test their ability to engage effectively with the course.

Teaching and learning

Teaching includes a mixture of lectures, small-group seminars, discussions and practical exercises. Activities will be included in the taught elements, for individual students and for groups. Students will engage with primary and secondary academic literatures, with professional literatures, and with mass media products about science, technology and medicine. Students will learn at special sites of science communication, such as museums, media institutions, and public events. Participation and volunteering will be encouraged so that students can further their own interests alongside the taught curriculum. All students will meet regularly with a mentor from the Centre's PhD community, with a designated personal tutor from among the staff, and, from Semester 2, a dissertation supervisor.

Coursework and assessment

All modules are assessed by academic and practical tasks set in parallel. Students should expect assessments, which are written and spoken, and use a format appropriate to the relevant professional group or medium.

Students may choose their own topic or medium for the many of the assessments. There is a small taught element which is assessed through a formal exam. Assessed work also includes a project created under the supervision of a science communication professional.
The final assessment piece is a substantial piece of original research (the dissertation).

Career opportunities

This programme is intended for students interested in science, technology, medicine, mathematics or engineering who are seeking to work in journalism, science policy, science publishing, medical, environmental and other related campaigning and advocacy groups, public relations in the public and private sectors, museums and science centres, science festivals, or other public engagement fields. It also provides an appropriate grounding for PhD-level research in science communication studies.

Past MSc graduates who took our former science communication pathway in History of Science, Technology and Medicine have gone on to a wide range of relevant posts, including:
-Public Engagement Officer, Centre for Life, Newcastle
-Senior Policy Analyst, Department of Energy and Climate Change
-Director, Scientia Scripta (science-focused copywriting agency)
-Assistant Curator of Technology and Engineering, Science Museum
-Education Assistant, Catalyst Science Centre, Widnes
-Junior Consultant, Six Degrees PR
-Technical Author, Calrec Audio
-Researcher, Pioneer Productions (TV)

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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. 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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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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Programme description

The fields of science communication and public engagement are currently enjoying unprecedented growth. This is being driven by a greater need to demonstrate the impact of publicly funded research, the need for science to be valued, increased government scrutiny and a desire for a stronger evidence base for policy decisions. Many career opportunities are emerging at the interface between science and various stakeholder groups and ever more creative methodologies for science engagement are being explored.

Our part-time online distance learning programme provides an opportunity to gain a formal qualification in science communication without having to leave your job or move to a different location. You may elect to begin with the Post-Graduate Certificate in the first instance and then decide to study for a Diploma and/or a Master’s degree. You will engage with other students from around the world, from a variety of different academic and professional backgrounds and you will enjoy a rich learning experience while studying on the programme.

You will experience a variety of science communication and public engagement methodologies and issues. In the process, you will develop critical thinking and self-evaluation skills through reflective practice. Your learning in individual courses is transferable, ensuring interconnection across the programme, thus providing opportunities for deeper learning and for the application of key principles in different contexts.

The programme attracts students from across the globe, from a range of academic and professional backgrounds and provides a formal qualification for those working in science communication and public engagement or a conversion route for those interested in moving into this field.

Online learning

Our online learning technology is fully interactive, award-winning and enables you to communicate with our highly qualified teaching staff from the comfort of your own home or workplace.

Our online students not only have access to Edinburgh’s excellent resources, but also become part of a supportive online community, bringing together students and tutors from around the world.

Programme structure

The programme can be studied to PG Certificate, PG Diploma or Masters level – if you are interested, in a formal qualification in science communication then sign up for our Post Graduate Certificate. You can then opt to continue to the Diploma and the Masters degree.

Year 1 (Certificate) - courses currently on offer include:

* Introduction to Science Communication and Public Engagement
* Science and Society A
* Science and Society B
* Principles and Practice in Public Engagement with Science
* Science Education
* The Role of Social Media in Science Communication

Year 2 (Diploma) - courses currently on offer include:

* Dialogue for Science Communication and Public Engagement
* Science, Policy and Practice
* Science and the Media
* Effective Exhibit and Programme Development
* Creative Arts in Science Engagement
* Principles and Practice in Public Engagement with Science

Year 3 (Masters)
* Dissertation project.

Career opportunities

To address the need for effective science communication and public engagement with science, there has been a significant rise in opportunities available for professionals with the specialist knowledge, skills and attributes necessary to pursue roles at the interface between scientific research and public.

These roles can be found in, for example, Higher Education Institutions, Research Centres, Museums, Science Centres, Learned Societies and consultancies for democratic decision-making. Examples of specific roles are engagement managers, information and education officers, policy and knowledge brokers, in addition to the traditional science communicator role.

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

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

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

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

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

Key Features of Theoretical Computer Science

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

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

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework