This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches.
The two-year master’s programme in Computer Science offers six specialisations which combine excellent theoretical teaching with possibilities for applied work with industrial relevance. This is achieved by intensive collaboration with companies at the Leiden Centre of Data Science. Course themes include topics such as Evolutionary Algorithms, Neural Networks, Databases and Data Mining, Swarm-Based Computation, Bayesian Networks, Multimedia Systems, Embedded Systems and Software, Advanced Compilers and Architectures, Bio-Modeling and Petri Nets.
Read more about our Computer Science programme.
Find more reasons to choose Computer Science at Leiden University.
The programme is open for students with an internationally recognized bachelor’s degree in computer science or equivalent. You will be trained as an independent researcher, equipped with the necessary skills to advance your career as a computer scientist.
Read more about the entry requirements for Computer Science.
The cell is the building block of life, the smallest unit with the molecular characteristics of living systems. Increased knowledge of the mechanisms of the biomolecular and biochemical processes in the cell can lead to better medicines, new methods for combating diseases.
The basis of the two-year master’s programme in Life Science and Technology is formed by research carried out in the life sciences and chemistry groups of the Leiden Institute of Chemistry (LIC). Researchers take a science-based approach in finding tailored solutions for complex societal problems as encountered in personalized medicine, systems biology and sustainable use of biological sources. Starting from day one, and during the whole master programme you are a member of a research team in the LIC. Guided by a personal mentor, the student assembles a tailor-made educational programme for optimal training to become a life sciences professional.
Read more about our Life Science and Technology programme.
Find more reasons to study Life Science and Technology at Leiden University.
If you are interested in Life Science and you are looking for a programme with ample of opportunities to assemble your own study path, our Life Science and Technology programme is the right choice. The programme addresses societal problems on a molecular and cellular level. You can also choose a specialisation where you combine one year of Life Science and Technology research with one year of training in business, communication or education.
Read more about the entry requirements for Life Science and Technology.
This diverse programme allows you to study the history and philosophy of science, technology and medicine from a range of perspectives to gain a wide range of knowledge and skills.
You’ll explore the issues, debates and trends that have shaped the study of history and philosophy of science, with core modules that will also allow you to develop your skills in research and analysis. You’ll also have the chance to specialise in the areas that interest you by choosing from a range of optional modules on topics such as science and religion historically considered, modern science communication, and realism and representation in science.
Supported by active researchers at our Centre of History and Philosophy of Science, you’ll benefit from expert teaching and have access to our excellent library resources. You’ll even have the chance to develop your research skills and gain experience as we develop our Museum of the History of Science, Technology and Medicine.
We have world-class research resources to support your studies. The Brotherton Library houses extensive manuscript, archive and printed material in its Special Collections, including Newton’s Principia, a first edition of his Opticks and thousands of books and journals on topics from the 16th century onwards on topics such as astronomy, botany, medicine, physiology, chemistry, inventions and alchemy. You’ll also have access to the collections of artefacts across campus that we’re bringing together through the Museum of the History of Science, Technology and Medicine.
The Centre also hosts a number of research seminars given by visiting speakers, staff members and doctoral students and which all postgraduate students are encouraged to attend. There are also regular reading groups on a wide range of topics and the seminar series of other centres within the School are also available.
From the start of the programme you’ll study one core module in both history of science and philosophy of science, introducing you to the approaches, debates and trends that have shaped these naturally connected disciplines, as well as developing your research skills.
You’ll build on this knowledge when you choose from a range of optional modules, allowing you to specialise in aspects of history or philosophy of science that suit your interests. You could study purely philosophical topics, such as metaphysics of science; historical topics like illness and death in the Middle Ages; or modules that combine the two areas.
Throughout the programme you’ll develop your skills in research, analysis, interpretation and communication. By the end of your programme you’ll showcase these skills by submitting an independently researched dissertation on a specialist topic of your choice. You can choose to take an extended dissertation and research your topic in greater depth, or alternatively you can follow your interests by taking another optional module.
If you choose to study part-time, you’ll study over a longer period and take fewer modules in each year.
Compulsory modules
Optional modules
Most of our taught modules combine seminars and tutorials, where you will discuss issues and concepts stemming from your reading with a small group of students and your tutor. You’ll also benefit from one-to-one supervision while you complete your dissertation. Independent study is also an important element of the programme, allowing you to develop your skills and pursue your own interests more closely.
We assess your progress using a combination of exams and coursework, giving you the freedom to research and write on topic areas that suit your interests within each module you study.
The subject knowledge you’ll gain from this programme, as well as the advanced skills in research, analysis and communication, will open doors to a wide range of careers.
This programme is good preparation for fields such as public engagement with science or the museum sector, but graduates from our School have pursued diverse careers in fields such as teaching, consultancy, business management, administration, accountancy and the civil service among others. Many of our graduates also go onto further study at PhD level and continue to work in academia.
We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.
The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.
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.
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.
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:
Year 2 (Diploma) - courses currently on offer include:
Year 3 (Masters)
Dissertation project.
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.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Theoretical Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
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.
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.
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.
The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.
We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).
Each spring, Computer Science students prepare and present a poster about their project at a project fair – usually together with a system or software demonstration. The Department of Computer Science also strongly encourages students to create CVs and business cards to take along to the fair, as businesses and employers visit to view the range of projects and make contact with the graduating students.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Data Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
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.
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 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
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.
- 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
This programme will allow you to explore the philosophical themes and ideas that lie behind modern science.
You’ll discuss a range of issues that animate debates in contemporary philosophy of science, gaining an insight into how we understand science and how this has changed over time. You’ll think about the nature and extent of scientific knowledge and explanation, for example, as well as specialising in topics that suit your interests, from the metaphysics of science to epistemological topics such as realism and representation.
Our core module will introduce you to concepts and trends in philosophy of science, while you’ll select optional modules on topics of your choice. You could even broaden your approach by taking a module in Analytic Philosophy or the history of modern science communication, or gain more research experience by extending your dissertation.
Guided by internationally renowned researchers in our Centre for History and Philosophy of Science, you’ll learn in a supportive and stimulating environment.
We have world-class research resources to support your studies. In addition to its collections in history and philosophy, the Brotherton Library houses extensive manuscript, archive and printed material in its Special Collections, including Newton’s Principia, a first edition of his Opticks and thousands of books and journals on topics in the history of science. The Edward Boyle Library also possesses an extensive collection of works in the philosophy of science and across the full range of scientific topics in general.
The Centre also hosts a number of research seminars given by visiting speakers, staff members and doctoral students and which all postgraduate students are encouraged to attend. There are also regular reading groups on a wide range of topics and the seminar series of other centres within the School are also available.
From the start of the programme you’ll explore issues and concepts in philosophy of science, as a core module introduces you to classic debates and recent trends in the subject. You’ll then build on this knowledge when you choose from a range of optional modules throughout the year, allowing you to specialise in areas such as the philosophy of physics, philosophy of biology, or realism and representation in science.
Throughout the year, you’ll gain a firm foundation in philosophy of science as well as in-depth knowledge of specialist topics. You’ll take this a step further with your dissertation, an independently researched piece of work on a topic of your choice that gives you the chance to showcase your skills.
If you want to go into greater depth, you have the choice to extend your dissertation. Alternatively, you can select another module on a topic such as modern science communication or analytic philosophy, putting your research into a broader context.
If you choose to study part-time, you’ll study over a longer period and take fewer modules in each year.
You’ll take two compulsory modules, though you can choose whether to take a standard (60 credits) or extended (90 credits) dissertation. You’ll then choose one or two optional modules.
Compulsory modules
Optional modules
Most of our taught modules combine seminars and tutorials, where you will discuss issues and concepts stemming from your reading with a small group of students and your tutor. You’ll also benefit from one-to-one supervision while you complete your dissertation. Independent study is also an important element of the programme, allowing you to develop your skills and pursue your own interests more closely.
We assess your progress using a combination of exams and coursework, giving you the freedom to research and write on topic areas that suit your interests within each module you study.
The subject knowledge you’ll gain from this programme, as well as the advanced skills in research, analysis and communication, will open doors to a wide range of careers.
This programme is good preparation for fields such as public engagement with science, but graduates from our School have pursued diverse careers in fields such as teaching, consultancy, business management, administration, accountancy and the civil service among others. Many of our graduates also go onto further study at PhD level and continue to work in academia.
We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.
The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
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.
• 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 for the MSc in Computer Science include Computer Science Project Research Methods but please visit our course page for more information.
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.
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].
“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
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*).
The Bond University Graduate Certificate in Sports Science is designed to develop specialist knowledge and skills in required sport science sub-disciplines including communication, leadership, and negotiation, clinical sports science, performance analysis and health research design and planning.
The program is designed to build upon undergraduate studies in sports science to develop specialist knowledge and skills relating to strength and conditioning and high performance science of elite athletes.
Upon successful completion of the Graduate Certificate in Sports Science, students are eligible to enrol in the Graduate Diploma in Sports Science and subsequent Master of Sports Science. Subjects completed in the Graduate Certificate are credited to the Diploma.
The Bond University Graduate Certificate in Sports Science is designed to develop specialist knowledge and skills in required sport science sub-disciplines including communication, leadership, and negotiation, clinical sports science, performance analysis and health research design and planning.
The program is designed to build upon undergraduate studies in sports science to develop specialist knowledge and skills relating to strength and conditioning and high performance science of elite athletes.
The program is suitable for graduates in exercise and sports science aspiring for a career in high performance sport, or for established professionals seeking to move into specialist sports science service roles.
The program is suitable for graduates with ambitions to enter postgraduate sports science as a pathway into postgraduate specialisation in strength & conditioning and high performance science or for internationally educated strength and conditioning coaches or high performance managers requiring professional updates before applying for Australian qualification recognition.
Placing a strong emphasis on comprehensive practical experience, the program provides exposure to authentic high performance sports science. The Graduate Certificate is delivered at the world-class Bond Institute of Health and Sport where you will gain exceptional, high-quality practical experience in our high performance gym and sports science research laboratories. You will have access to specialised technology used in research to deliver a wide range of athlete testing and performance analysis. These facilities provide sports science testing and training services to a variety of elite and sub-elite athletes, providing an exceptional learning experience.
You must complete all of the following subjects:
*Subject names and structure may change
The Graduate Certificate in Sports Science uses a teaching methodology that involves a combination of lectures, tutorials, seminars, examinations, projects, presentations, assignments, and laboratory work. Examination formats may include objective structure practical examinations, theory papers, assignments and oral presentations.
Department of Life Sciences – a leading international centre for research and training in ecology, evolution, conservation and the environment
Sustainability, Earth and Atmospheric Science Masters Degrees - School of Earth and Environment
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Online Master of Business Administration (MBA) with optional specialisms in Fashion Management and Data Analytics
The Thouron Award - Typically, 6 to 10 awards are made each year to British graduates. Each award provides funding in excess of US$90,000 per year
School of Social Sciences- a nationally and internationally recognised centre for the study of engaged social science
Leicester Castle Business School - created by De Montfort University to meet the needs of 21st century business
Kick-start your career or take the next step in your professional development with Psychology
