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To be ready for the challenges of teacher training and teaching the developing Computing curriculum, your subject knowledge and understanding of information technology and computer science has to be of a sufficient standard.
Do you want to teach Computer Science but don't have a Computer Science degree or A level qualification? Want to change your life with a career that will see you providing children with an invaluable digital and computing education that will ensure their future employment? Take the SKE Computer Science Subject Knowledge Enhancement course and gain the essential skills you need to make the most of the PGCE and become a Computer Science teacher. There is no better gateway course for preparing you for the challenges of teacher training in Computer Science.
Our new SKE programme in Computer Science is a course for graduates who need to develop a greater depth of subject understanding prior to training for qualified teacher status. We have specifically developed our 12 week programme of face-to-face, online and in-school activities starting in May to equip you with the necessary skills and subject knowledge to teach the computer science elements of Computing across the 11-18 age range.
For more information about SKE, please visit What is subject knowledge enhancement SKE in Computer Science blog page.
The M.Sc. program in Computer Engineering aims to provide advanced education and a cutting edge research experience in computer engineering. The focus of the program is excellence in research. Graduates of the program can join industry or continue their research careers in Ph.D. in Computer Engineering programs.
The program aims to provide advanced education and a cutting edge research experience in computer engineering or in electrical and computer engineering crossing the boundary of the two disciplines.
• Advanced Design Technologies
• Artificial Intelligence
• Computational Systems Biology
• Cryptography, Security, Privacy
• Intelligent User Interfaces
• Multicore Software Engineering
• Multimedia, vision, and Graphics
• Networked and Distributed systems
• Parallel and Multicore Computing
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.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science: Informatique at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The MSc in Computer Science: Informatique is a Dual Degree scheme between Swansea University and Université Grenoble Alpes for computer science.
The MSc in Computer Science: Informatique Grenoble dual degree scheme is a two year programme that provides students with an opportunity to study in both Swansea, UK and Grenoble, France. One year of the Computer Science: Informatique programme students study at Swansea University and the second year of the programme students study at Université Grenoble Alpes. Upon successful completion of the programme, students will receive an M.Sc. in Advanced Computer Science from Swansea University and a Master from Université Grenoble Alpes.
- We are top in the UK for career prospects [Guardian University Guide 2018]
- 5th in the UK overall [Guardian University Guide 2018]7th in the UK for student satisfaction with 98% [National Student Survey 2016]
- We are in the UK Top 10 for teaching quality [Times & Sunday Times University Guide 2017]
- 12th in the UK overall and Top in Wales [Times & Sunday Times University Guide 2017]
- 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]
- UK TOP 20 for Research Excellence [Research Excellence Framework 2014]
- Our Project Fair allows students to present their work to local industry
- Strong links with industry
- £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)
- Top University in Wales [Times & Sunday Times University Guide 2017]
Modules on the MSc in Computer Science: Informatique may include:
Critical Systems; IT-Security: Theory and Practice; Visual Analytics; Data Science Research Methods and Seminars; Big Data and Data Mining; Data Visualization; Human Computer Interaction; Big Data and Machine Learning; Web Application Development; High Performance Computing in C/C++; Software Testing; Graphics Processor Programming; Embedded System Design; Mathematical Skills for Data Scientists; Logic in Computer Science; Computer Vision and Pattern Recognition; High-Performance Computing in C/C++; Hardware and Devices; Modelling and Verification Techniques; Operating Systems and Architectures.
The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.
As part of our expansion, we are building the Computational Foundry on our Bay Campus for computer and mathematical sciences. This development is exciting news for Swansea Mathematics who are part of the vibrant and growing community of world-class research leaders drawn from computer and mathematical sciences.
All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.
94% of our Postgraduate Taught Computer Science Graduates were in professional level work or study [DLHE 14/15].
Some example job titles include:
Software Engineer: Motorola Solutions
Change Coordinator: Logica
Software Developer/Engineer: NS Technology
Workflow Developer: Irwin Mitchell
IT Developer: Crimsan Consultants
Consultant: Crimsan Consultants
Programmer: Evil Twin Artworks
Web Developer & Web Support: VSI Thinking
Software Developer: Wireless Innovations
Associate Business Application Analyst: CDC Software
Software Developer: OpenBet Technologies
Technical Support Consultant: Alterian
Programming: Rock It
Software Developer: BMJ Group
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*).
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*).
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Advanced Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
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.
• 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 Advanced 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]
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!
Focus on computer science
The Master of Information Sciences will give you in-depth knowledge and expertise in computer science.
Find out more about the Master of Information Sciences parent structure.
Massey University’s Master of Information Sciences (Computer Science) will give you the knowledge and skills you need to gain a more in-depth understanding of computer science and to advance your career.You will learn how to apply knowledge of ICT technologies and/or management with both a broad world-view and at a specialty level. If you wish to have a broader-based qualification the Master of Science (Computer Science) may be suitable for you.
Within computer science you can make the most of our lecturer’s research expertise to focus on topics that interest you such as:
A report by Absolute IT showed that IT employers are seeking increasing numbers of staff. In Auckland alone 75% of IT employers are planning to recruit additional staff and contractors in 2016. The majority of the hiring is taking place because of increased demand and new projects.
The research showed that high demand areas are now software development, business analysis, project management and data/database. These are the key areas of information sciences you can study at Massey.
A professional practice project is a major part of this masters. You will have the opportunity to lead real projects for real companies on real issues that they wish to solve. This experience can directly lead to roles and add substantial value to your resume when you are seeking employment.
Massey University’s Master of Information Sciences is a 180 credit master qualification offering a rigorous programme of learning that can be achieved in one and a half years full-time study.
A professional practice project is a major part of this master’s. You will have the opportunity to lead real projects for real companies on real issues that they wish to solve. This experience can directly lead to roles and add substantial value to your resume when you are seeking employment.
Massey teaching is research-led and our academics are ranked among the best in the world. Our teaching staff are widely published and are in demand as keynote speakers on topical global issues. International visitors regularly seek out visits to our science facilities to learn more about what we do.
We work to help you succeed. Massey University offers smaller classes and more personalised learning, giving you greater access to lecturers and the help you need to succeed and thrive during your master’s study.
Your lecturers and supervisors at Massey have strong connections with the industry. We work to ensure that our teaching fits with the changing environment, which means you will emerge with a relevant qualification valued by potential employers.
Postgraduate study is hard work but hugely rewarding and empowering. The Master of Information Sciences will push you to produce your best creative, strategic and theoretical ideas. The workload replicates the high-pressure environment of senior workplace roles.
Postgraduate study is not just ‘more of the same’ undergraduate study. Our experts are there to guide but if you have come from undergraduate study, you will find that postgraduate study demands more in-depth and independent study. It takes you to a new level in knowledge and expertise especially in planning and undertaking research.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Modelling in Engineering at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
This MRes in Computer Modelling in Engineering programme consists of two streams: students may choose to specialise in either structures or fluids. The taught modules provide a good grounding in computer modelling and in the finite element method, in particular.
Computer simulation is now an established discipline that has an important role to play in engineering, science and in newly emerging areas of interdisciplinary research.
Using mathematical modelling as the basis, computational methods provide procedures which, with the aid of the computer, allow complex problems to be solved. The techniques play an ever-increasing role in industry and there is further emphasis to apply the methodology to other important areas such as medicine and the life sciences.
The Zienkiewicz Centre for Computational Engineering, within which this course is run, has excellent computing facilities, including a state-of-the-art multi-processor super computer with virtual reality facilities and high-speed networking.
This Computer Modelling in Engineering course is suitable for those who are interested in gaining a solid understanding of computer modelling, specialising in either structures or fluids, and taking the skills gained through this course to develop their career in industry or research.
If you would like to qualify as a Chartered Engineer, this course is accredited with providing the additional educational components for the further learning needed to qualify as a Chartered Engineer, as set out by UK and European engineering professional institutions.
Modules on the Computer Modelling in Engineering programme typically include:
• Finite Element and Computational Analysis
• Numerical Methods for Partial Differential Equations
• Solid Mechanics
• Advanced Fluid Mechanics
• Dynamics and Transient Analysis
• Communication Skills for Research Engineers
• MRes Research Project
The MRes Computer Modelling in Engineering course is accredited by the Joint Board of Moderators (JBM).
The Joint Board of Moderators (JBM) is composed of the Institution of Civil Engineers (ICE), the Institution of Structural Engineers (IStructE), the Chartered Institution of Highways and Transportation (CIHT), and the Institute of Highway Engineers (IHE).
The MRes Computer Modelling in Engineering degree is accredited as meeting the requirements for Further Learning for a Chartered Engineer (CEng) for candidates who have already acquired an Accredited CEng (Partial) BEng(Hons) or an Accredited IEng (Full) BEng/BSc (Hons) undergraduate first degree.
The MRes Computer Modelling in Engineering degree has been accredited by the JBM under licence from the UK regulator, the Engineering Council.
Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.
The Civil and Computational Engineering Centre has an extensive track record of industrial collaboration and contributes to many exciting projects, including the aerodynamics for the current World Land Speed Record car, Thrust SSC, and the future BLOODHOUND SSC, and the design of the double-decker super-jet Airbus A380.
Examples of recent collaborators and sponsoring agencies include: ABB, Audi, BAE Systems, British Gas, Cinpress, DERA, Dti, EADS, EPSRC, European Union, HEFCW, HSE, Hyder, Mobil, NASA, Quinshield, Rolls-Royce, South West Water, Sumitomo Shell, Unilever, US Army, WDA.
“I was attracted to the MRes course at Swansea as the subject matter was just what I was looking for.
I previously worked as a Cardiovascular Research Assistant at the Murdoch Children’s Research Institute in Melbourne. My employer, the Head of the Cardiology Department, encouraged me to develop skills in modelling as this has a lot of potential to help answer some current questions and controversies in the field. I was looking for a Master’s level course that could provide me with computational modelling skills that I could apply to blood flow problems, particularly those arising from congenital heart disease.
The College of Engineering at Swansea is certainly a good choice. In the computational modelling area, it is one of the leading centres in the world (they wrote the textbook, literally). A lot of people I knew in Swansea initially came to study for a couple of years, but then ended up never leaving. I can see how that could happen.”
Jonathan Mynard, MRes Computer Modelling in Engineering, then PhD at the University of Melbourne, currently post-doctoral fellow at the Biomedical Simulation Laboratory, University of Toronto, Canada
Employment in a wide range of industries, which require the skills developed during the Computer Modelling in Engineering course, from aerospace to the medical sector. Computational modelling techniques have developed in importance to provide solutions to complex problems and as a graduate of this course, you will be able to utilise your highly sought-after skills in industry or research.
The Research Excellence Framework (REF) 2014 ranks Engineering at Swansea as 10th in the UK for the combined score in research quality across the Engineering disciplines.
World-leading research
The REF shows that 94% of research produced by our academic staff is of World-Leading (4*) or Internationally Excellent (3*) quality. This has increased from 73% in the 2008 RAE.
Research pioneered at the College of Engineering harnesses the expertise of academic staff within the department. This ground-breaking multidisciplinary research informs our world-class teaching with several of our staff leaders in their fields.
Highlights of the Engineering results according to the General Engineering Unit of Assessment:
Research Environment at Swansea ranked 2nd in the UK
Research Impact ranked 10th in the UK
Research Power (3*/4* Equivalent staff) ranked 10th in the UK
Ideal for you if you are a professional with a background in computer engineering, communication systems or electronic/electrical engineering, and provides you with the skills and knowledge needed to move into computer networking. It is particularly useful for people working in companies that rely on constant innovation in electronics, computer engineering and communications.
Computer networks currently provide the infrastructure for most, businesses, educational institutions, retailers, manufacturers and public services. Many companies rely increasingly on computer and network engineering, which is now a global discipline.
This course is hardware and software based, and examines the design, specification, and integration of current and next generation computer and communications network technologies.
This course provides an opportunity for you to
You may wish to expand your current knowledge and expertise if you already have computer networking skills or possibly move into a new area of engineering and have the necessary entry requirements for this course.
This programme is CEng accredited by the Institution of Engineering and Technology (IET) and fulfils the educational requirements for registration as a Chartered Engineer when presented with an CEng accredited Bachelors programme.
Full time – September start – typically 12 or 18 months
Full time – January start – typically 12 or 18 months
Part time – September start – typically 36 months
Part time – January start – typically 36 months
The course is based around two main themes, communication and networks, and computer engineering. You study eight modules plus a major project.
Communications and network modules
At least three from
Computer engineering modules
At least three from
Option modules
Up to two from
Project (equivalent to four modules)
You undertake a major project under the supervision of a tutor.
By final examination, coursework and project reports
Information technology, communications, computer networks and electronics are among some of the fastest growing areas of the economy. By completing this course, you gain a thorough understanding of computer networking systems with the knowledge and expertise to enable you to apply your skills within many areas of industry, or take up a position in higher education or research.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Modelling and Finite Elements in Engineering Mechanics at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
Swansea University has been at the forefront of international research in the area of computational engineering. Internationally renowned engineers at Swansea pioneered the development of numerical techniques, such as the finite element method, and associated computational procedures that have enabled the solution of many complex engineering problems. As a student on the Master's course in Computer Modelling and Finite Elements in Engineering Mechanics, you will find the course utilises the expertise of academic staff to provide high-quality postgraduate training.
Computer simulation is now an established discipline that has an important role to play in engineering, science and in newly emerging areas of interdisciplinary research.
Using mathematical modelling as the basis, computational methods provide procedures which, with the aid of the computer, allow complex problems to be solved. The techniques play an ever-increasing role in industry and there is further emphasis to apply the methodology to other important areas such as medicine and the life sciences.
This Computer Modelling and Finite Elements in Engineering Mechanics course provides a solid foundation in computer modelling and the finite element method in particular.
The Zienkiewicz Centre for Computational Engineering, within which this course is run, has excellent computing facilities, including a state-of-the-art multi-processor super computer with virtual reality facilities and high-speed networking.
Modules on the Computer Modelling and Finite Elements in Engineering Mechanics course can vary each year but you could expect to study:
Reservoir Modelling and Simulation
Solid Mechanics
Finite Element Computational Analysis
Advanced Fluid Mechanics
Computational Plasticity
Fluid-Structure Interaction
Nonlinear Continuum Mechanics
Computational Fluid Dynamics
Dynamics and Transient Analysis
Computational Case Study
Communication Skills for Research Engineers
Numerical Methods for Partial Differential Equations
The MSc Computer Modelling and Finite Elements in Engineering Mechanics course is accredited by the Joint Board of Moderators (JBM).
The Joint Board of Moderators (JBM) is composed of the Institution of Civil Engineers (ICE), the Institution of Structural Engineers (IStructE), the Chartered Institution of Highways and Transportation (CIHT), and the Institute of Highway Engineers (IHE).
The MSc Computer Modelling and Finite Elements in Engineering Mechanics degree is accredited as meeting the requirements for Further Learning for a Chartered Engineer (CEng) for candidates who have already acquired an Accredited CEng (Partial) BEng(Hons) or an Accredited IEng (Full) BEng/BSc (Hons) undergraduate first degree.
The MSc Computer Modelling and Finite Elements in Engineering Mechanics degree has been accredited by the JBM under licence from the UK regulator, the Engineering Council.
Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng). Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.
Our new home at the innovative Bay Campus provides some of the best university facilities in the UK, in an outstanding location.
Hardware includes a 450 cpu Cluster, high-end graphics workstations and high-speed network links. Extensive software packages include both in-house developed and 'off-the-shelf' commercial.
The Zienkiewicz Centre for Computational Engineering has an extensive track record of industrial collaboration and contributes to many exciting projects, including the aerodynamics for the current World Land Speed Record car, Thrust SSC, and the future BLOODHOUND SSC, and the design of the double-decker super-jet Airbus A380.
Employment in a wide range of industries, which require the skills developed during the Computer Modelling and Finite Elements in Engineering Mechanics course, from aerospace to the medical sector. Computational modelling techniques have developed in importance to provide solutions to complex problems and as a graduate of this course in Computer Modelling and Finite Elements in Engineering Mechanics, you will be able to utilise your highly sought-after skills in industry or research.
The Research Excellence Framework (REF) 2014 ranks Engineering at Swansea as 10th in the UK for the combined score in research quality across the Engineering disciplines.
The REF assesses the quality of research in the UK Higher Education sector, assuring us of the standards we strive for.
World-Leading Research
The REF shows that 94% of research produced by our academic staff is of World-Leading (4*) or Internationally Excellent (3*) quality. This has increased from 73% in the 2008 RAE.
Research pioneered at the College of Engineering harnesses the expertise of academic staff within the department. This ground-breaking multidisciplinary research informs our world-class teaching with several of our staff leaders in their fields.
The fields of graphics, vision and imaging increasingly rely on one another. This unique and timely MSc provides training in computer graphics, geometry processing, virtual reality, machine vision and imaging technology from world-leading experts, enabling students to specialise in any of these areas and gain a grounding in the others.
Graduates will understand the basic mathematical principles underlying the development and application of new techniques in computer graphics and computer vision and will be aware of the range of algorithms and approaches available, and be able to design, develop and evaluate algorithms and methods for new problems, emerging technologies and applications.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits).
Core modules
Optional modules
Students must choose a minimum of 15 and a maximum of 30 credits from Group One options. Students must choose a minimum of 30 and a maximum of 45 credits from Group Two options.
Group One Options (15 to 30 credits)
Group Two Options (30 to 45 credits)
Please note: the availability and delivery of optional modules may vary, depending on your selection.
Dissertation/report
All students undertake an independent research project related to a problem of industrial interest or on a topic near the leading edge of research, which culminates in a 60–80 page dissertation.
Teaching and learning
The programme is delivered through a combination of lectures and tutorials. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and a substantial individual project.
Further information on modules and degree structure is available on the department website: Computer Graphics, Vision and Imaging MSc
Graduates are ready for employment in a wide range of high-technology companies and will be able to contribute to maintaining and enhancing the UK's position in these important and expanding areas. The MSc provides graduates with the up-to-date technical skills required to support a wealth of research and development opportunities in broad areas of computer science and engineering, such as multimedia applications, medicine, architecture, film animation and computer games. Our market research shows that the leading companies in these areas demand the deep technical knowledge that this programme provides. Graduates have found positions at global companies such as Disney, Sony and Siemens. Others have gone on to PhD programmes at leading universities worldwide.
Recent career destinations for this degree
Employability
UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).
Our graduates have some of the highest employment rates of any university in the UK. This degree programme also provides a foundation for further PhD study or industrial research.
Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.
UCL Computer Science contains some of the world's leading researchers in computer graphics, geometry processing, computer vision and virtual environments.
Research activities include geometric acquisition and 3D fabrication, real-time photo-realistic rendering, mixed and augmented reality, face recognition, content-based image-database search, video-texture modelling, depth perception in stereo vision, colour imaging for industrial inspection, mapping brain function and connectivity and tracking for SLAM (simultaneous localisation and mapping).
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Computer Science
96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
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Department of Life Sciences – a leading international centre for research and training in ecology, evolution, conservation and the environment
