Masters Degrees in Computer Science, United Kingdom

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.

Key Features of Theoretical Computer Science

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

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

Facilities

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

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

Research

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

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

Links with Industry

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

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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.

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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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.

Key Features of Advanced Computer Science MSc

• We are top in the UK for career prospects*

• We are 3rd in the UK for teaching quality**

• 5th in the UK overall*

• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]

• 7th in the UK overall and Top in Wales*

• High employability prospects - we are 8th in the UK for graduate prospects*

• 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]

• UK TOP 20 for Research Excellence [Research Excellence Framework 2014]

• Our Project Fair allows students to present their work to local industry

• Strong links with industry

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

*Guardian University Guide 2017

**Times & Sunday Times University Guide 2016

Modules of Advanced Computer Science MSc

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

Facilities

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

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

Careers

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

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

Student Profile

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

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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).

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

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

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

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

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

Facilities

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

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

Research

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

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

Links with Industry

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

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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.

Key Features of Computer Science: Informatique MSc

- We are top in the UK for career prospects [Guardian University Guide 2018]

- 5th in the UK overall [Guardian University Guide 2018]7th in the UK for student satisfaction with 98% [National Student Survey 2016]

- We are in the UK Top 10 for teaching quality [Times & Sunday Times University Guide 2017]

- 12th in the UK overall and Top in Wales [Times & Sunday Times University Guide 2017]

- 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]

- UK TOP 20 for Research Excellence [Research Excellence Framework 2014]

- Our Project Fair allows students to present their work to local industry

- Strong links with industry

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

- Top University in Wales [Times & Sunday Times University Guide 2017]

Modules of Computer Science: Informatique MSc

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

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

Facilities

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

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

Careers

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

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

Some example job titles include:

Software Engineer: Motorola Solutions

Change Coordinator: Logica

Software Developer/Engineer: NS Technology

Workflow Developer: Irwin Mitchell

IT Developer: Crimsan Consultants

Consultant: Crimsan Consultants

Programmer: Evil Twin Artworks

Web Developer & Web Support: VSI Thinking

Software Developer: Wireless Innovations

Associate Business Application Analyst: CDC Software

Software Developer: OpenBet Technologies

Technical Support Consultant: Alterian

Programming: Rock It

Software Developer: BMJ Group

Research

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

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Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. This means you will be learning current research results, keeping you at the forefront of these areas. You will also learn a range of theories, principles and practical methods.

The MSc in Advanced Computer Science is a full time, one year taught course, intended for students who already have a good first degree in Computer Science, and would like to develop a level of understanding and technical skill at the leading edge of Computer Science.

You can choose modules on a range of topics, including Cryptography, Functional Programming, Interactive Technologies, Natural Language Processing, Quantum Computation and Model-Driven Engineering.

Course aims
You will gain an in-depth knowledge of topics on the frontiers of Computer Science in order to engage in research or development and application of leading-edge research findings.

By undertaking an individual project, you will become a specialist in your selected area. You will be encouraged to produce research results of your own. This will prepare you to undertake a PhD in Computer Science should you wish to continue studying within the subject.

Learning outcomes
-A knowledge of several difference topics in Computer Science at an advanced level.
-An understanding of a body of research literature in Computer Science in your chosen topic, and the underlying principles and techniques of research in this area.
-An ability to engage in independent study at an advanced level, and develop skills in self-motivation and organisation.

Research Project

You will undertake your individual research project over the Summer term and Summer vacation. This will be a culmination of the taught modules you have taken during the course, which will allow you to focus on a specialist area of interest.

You will be allocated a personal supervisor, who will be an expert in your chosen area of research. You will be hosted by the research group of your supervisor, and you will benefit from the knowledge and resources of the whole group. Being attached to a research group also allows you to take part in their informal research seminars, and receive feedback and help from other members of the group.

You can choose from projects suggested by members of our academic staff. You also have the option of formulating your own project proposal, with the assistance from your personal supervisor.

All project proposals are rigorously vetted and must meet a number of requirements before these are made available to the students. The department uses an automated project allocation system for assigning projects to students that takes into account supervisor and student preferences.

The project aims to give you an introduction to independent research, as well as giving you the context of a research group working on topics that will be allied to your own. You will develop the skills and understanding in the methods and techniques of research in Computer Science.

As part of the assessment of the project, as well as your dissertation, you will give a talk about your work and submit a concise paper which we will encourage you to publish.

Information for Students

The MSc in Advanced Computer Science exposes you to several topics in Computer Science that are under active research at York. The material taught is preparatory to helping to continue that research, and perhaps continuing to a PhD. What we require from you are enthusiasm, hard work and enough background knowledge to take your chosen modules.

The modules on the MSc in Advanced Computer Science are mostly shared with our Stage 4 (Masters level) undergraduates. Your technical background will be different, and we acknowledge this.

During August we will send entrants a document describing the background knowledge needed for each module and, in many cases, references to where this knowledge is available (for example, widely available text books and web pages).

More generally, many of the modules expect a high level of mathematical sophistication. While the kind of mathematics used varies from module to module, you will find it useful to revise discrete mathematics (predicate and propositional calculi, set theory, relational and functional calculi, and some knowledge of formal logic), statistics and formal language theory. You should also be able to follow and produce proofs.

Careers

Here at York, we're really proud of the fact that more than 97% of our postgraduate students go on to employment or further study within six months of graduating from York. We think the reason for this is that our courses prepare our students for life in the workplace through our collaboration with industry to ensure that what we are teaching is useful for employers.

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The PGCE Information Technology and Computer Science enables ICT & computing professionals and graduates to become effective teachers of computing (curriculum previously called ICT and now including a strong Computer Science element) in secondary schools. The programme emphasises learning through critical reflection on theory and practice and discussion with colleagues.

The programme combines the theory and practice of education which is why students spend 60 days in College and 120 days in schools. The course is research-led and you will develop your knowledge of how pupils learn; how assessment can improve learning and teaching; how to plan lessons, and how to make appropriate use of computers and the Internet to teach effectively. The programme emphasises learning through critical reflection on theory and practice and discussion with colleagues.

Key Benefits

- Our Programme, judged 'Outstanding' by Ofsted, is taught by one of the strongest team of computer science education tutors in the country.

- The programme at King's is challenging and students are encouraged to take a critical view of policies and practice.

- It is a sociable course where you will be expected to work with others, discussing issues and problems about teaching.

- You have the opportunity to work with tutors who are actively engaged in research and development in computer science education.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/pgce-information-technology-and-computer-science.aspx

Course detail

- Description -

The programme combines the theory and practice of education. We work in close partnership with schools in designing, delivering and assessing our course.

University based: You will work with other trainees and tutors in your subject area to consider the principles and practice of teaching your subject including curriculum design, the development of materials, classroom management and lesson planning. You will also work with trainees from other subjects in a programme of lectures and seminar groups to examine broad generic issues. During both secondary school placements there are occasional days in college for tutorials to support and monitor progress towards the standards for Qualified Teacher Status (QTS). There are cross-curricular research tasks and assignments.

School based: For 24 of the 36 weeks the training takes place in schools, mainly in two complementary secondary schools but with two short primary school experiences. This introduces you to recognising key constituents of good teaching, helps develop your own teaching skills and gain an understanding of how schools work and how children learn.

- Computer Science Subject Knowledge Enhancement (SKE) courses -

Our Subject Knowledge Enhancement courses are intensive and flexible programmes for graduates in IT/computing who want to teach computer science but whose degree is not a direct match or whose specialist subject knowledge needs deepening prior to training for qualified teacher status (QTS). King's College London in conjunction with Queen Mary College, University of London, has designed a 12-unit SKE programme for computer science funded by the National College for Teaching and Leadership.

In order to be eligible for SKE (for which you may also obtain a bursary) you need an offer of a place on one of the King's PGCE programmes: either computer science or information technology and computer science. At the PGCE interview we will assess your SKE needs and determine which units you should take. Our SKE courses are also open to candidates who have PGCE offers, conditional on SKE, from other institutions. The programme runs between April and September. Please note that it is not intended for graduates in non-IT disciplines who wish to retrain in computer science: for that we recommend a conversion MSc programme (eg http://www.eecs.qmul.ac.uk/postgraduates/programme/view/21).

- Course purpose -

Our programme is for computing/ICT specialists wishing to train to be teachers of pupils aged 11-18 in computing (previously called ICT) to GCSE level and information technology to A-level. A parallel programme, PGCE Computer Science, enables computer science specialists to train to be teach computer science to A-level. The programme will lead to the Department for Education's (HM Government) Standards for QTS which are assessed through teaching practice observation, portfolios and written assignments.

- Course format and assessment -

The 45-credit honours-level module will be assessed by a combination of a written portfolio (equivalent to 8,000 words) and assessment of your teaching practice against the teaching standards as set out by the government’s Department for Education. Progress in meeting the teaching standards will be monitored through three progress reports that will be completed by staff at the placement school.

The 30-credit master’s-level modules will each be assessed by an 8,000-word written assignment.

The 15-credit honours-level module will be assessed by a 4,000-word written assignment.

Career prospects

The majority of trainees go into teaching or other areas of education: many become heads of departments or members of senior management teams; some take up careers in educational administration in the advisory or inspection services.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

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* Subject to validation, 2017 entry

Liverpool Hope’s MSc Computer Science is a research-informed, academically rigorous course and is designed to provide a flexible, purposeful and challenging set of coherent courses to meet scientific, industrial and employment challenges in this fast-evolving technological area. Graduates will have developed scientific and analytical skills which are highly valued in the computing, engineering, IT and business industries.

The course offers a mix of compulsory and elective courses, and a research dissertation, so you can focus your skill base and your potential career direction.

The course has been designed with employability in mind, whether it is within IT industry or as a function of other sectors, scientific computing and technical skills are in great demand and therefore highly valued. There are opportunities for placements and enterprise development.

Curriculum

The MSc Computer Science combines academic and practical course, consisting of eight taught courses (four compulsory and four elective) and a dissertation (final research project).

The Compulsory courses are:

· Computational Modelling and Simulation

· Algorithms

· Innovations in Computer Science

· Research Methods for Computer Science

· Dissertation for MSc Computer Science

Elective courses include:

· Embedded Systems and Robotics

· Cloud Computing and Web Services

· Mobile and Ubiquitous Computing

· Human Computer Interaction

· E-Business

Course Descriptions

· Computational Modelling and Simulation (compulsory – 15 credits): This course develops understanding and knowledge of the principles, techniques and design of computational modelling and their applications.

· Algorithms (compulsory - 15 credits): This course gives a firm grounding in the philosophy and evolution of algorithmic design and analysis for computer science, engineering and information systems.

· Innovations in Computer Science (compulsory - 15 credits): You will examine the particular research interests of Computer Science Department.

· Research Methods for Computer Science (compulsory - 15 credits): The course will expose you to the established techniques of research and enquiry that are used to extend, create and interpret knowledge in computer science

· Embedded Systems and Robotics (elective - 15 credits): This course will examine the Robotics Operating System and robotic programming languages, such as Urbi.

· Cloud Computing and Web Services (elective - 15 credits): You will study the concepts behind the idea of cloud computing and web services and gain practical knowledge of Azure, the .Net framework and C#.

· Mobile and Ubiquitous Computing (elective - 15 credits): You will examine mobile phone OSs (Android) and Windows Phone 7. You will learn how to develop software for these devices using JavaFX and C#/Silverlight.

· Human Computer Interaction (elective - 15 credits): Human computer interaction (HCI) is the study of interaction between people and computers and is the most multi-disciplinary module available in the MSc Computer Science.

·
* E-Business (elective - 15 credits): E-business encompasses, and is more than, e-commerce. You will examine e-commerce technology, such as the internet and web-based technologies.

· Dissertation for MSc Computer Science (compulsory - 60 credits): This module will allow the students to develop a Masters level research project with the support of an academic supervisor.

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The MSc in Computer Science is for graduates from a different discipline interested in a career in computer science.

Why study computer science with us?

Computing underpins much of our professional and personal lives. There is a growing need for individuals trained in one discipline who are also skilled in computer science.

If you are a graduate with a non-computing first degree then our MSc will:

- provide you with a sound foundation in practical and theoretical aspects of computer science
- help you change career, with skills desirable to a huge number of industries
- enhance your employability with transferable skills
- prepare you for PhD study

No prior background in computer science is necessary.

What will I learn?

Semester one offers a broad overview of computer science through a series of core units.

Semester two focusses on advanced and emerging areas of computer science. You will have the opportunity to specialise in one or more areas of the discipline.

The final semester is for your dissertation. You will:

- demonstrate the knowledge, skills and reflective insights you have have gained
- apply them to the investigation and/or development of new software systems.

Visit the Department of Computer Science (http://www.bath.ac.uk/comp-sci/) for further information on the department.

Visit the website http://www.bath.ac.uk/science/graduate-school/taught-programmes/msc-computer-science/index.html

Programme structure

The programme covers three semesters.

In the first semester we immerse students in the practical and theoretical foundations of the discipline.

In the second semester we build upon these foundations allowing students to specialise in one or more areas of the discipline.

The third semester is dedicated to a dissertation. Students combine their acquired knowledge to produce a novel software element or conduct novel research and critique their achievements. Please visit our research pages for a an overview of our research (http://www.bath.ac.uk/comp-sci/research/).

Career opportunities

Opportunities are extensive and we expect our graduates to move into computing careers in the leading:
- computer companies
- IT consultancy firms
- banks
- companies
- agencies
- educational establishments

About the department

The new Department of Computer Science began life in August 2001, emerging from the Computing Group of the Department of Mathematical Sciences. It is a research-led department with a strong record in interdisciplinary research and postgraduate teaching.

MSc
Our Masters programmes are designed to give you a wide range of knowledge so that you can build a career in the fast-moving industry of computing. The programmes are taught by recognised experts in each field, offering you, the student, a cutting-edge experience and a qualification which is both academic and commercially relevant. You will be exposed to the latest science and technology in your chosen specialist area, to complement previously-gained knowledge and skills from your undergraduate degree.

MPhil/PhD
The Department supports a strategic range of computer science research at PhD level and beyond. Our main research interests include Human Computer Interaction, Visual Computing, Mathematical Foundations, and Intelligent Systems. Research is pursued both in fundamental theoretical development and a range of application areas.

EngD in Digital Media
The Engineering Doctorate (EngD) in Digital Media is an alternative to the traditional PhD for students who want a career in industry. A four-year programme combines PhD-level research projects with taught courses, and students spend about 75% of their time working directly with a company.

Facilities and equipment
LAN and WAN, state-of-the-art HCI laboratory, audio laboratory.

International and industrial links
The Department has active collaborations with academics in leading universities in Europe, Australasia, the USA and Japan. Strong links with industry, e.g. HP labs, Airbus, Qinetiq, Westland, Toshiba and Vodafone.

Careers information
High employment records for undergraduate and postgraduate students. Good links with employers

Find out more about the department here - http://www.bath.ac.uk/comp-sci/

Find out how to apply here - http://www.bath.ac.uk/science/graduate-school/taught-programmes/how-to-apply/

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One of a range of degrees from the taught Masters Programme at the School of Computer Science our course is especially designed for graduates of numerate subjects other than computer science. It is mostly taught separately from the other courses. It intensively covers a broad range of the key principles and techniques of computer science.

About the course

There is an emphasis on software development, in particular when applied to solving problems in other disciplines. Depending on the modules chosen, it can lead to a career in areas such as systems development, IT management, or the deployment of advanced applications in specific disciplines.

Why choose this course?

-This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies
-A flexible course, part of our postgraduate master's programme in Computer Science, with two different routes
-Our course is especially designed for graduates of numerate subjects other than computer science
-Taught by a highly-regarded and long-established computer science department with strong links to business
-Half the research outputs in Computer Science at the University of Hertfordshire have been rated as world-leading or internationally excellent in the Research Excellence Framework (REF) 2014

Careers

Our masters programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research. This particular course will prepare you for a career such as a software engineer, developer or project manager.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Year 1
Core Modules
-Computer Architectures
-Computer Science Masters Project
-Operating Systems and Networks
-Preparation for Placement
-Professional Issues
-Professional Work Placement for MSc Computer Science
-Programming and Program Design
-Software Development Exercise
-Systems Modelling

Year 2
Core Modules
-Computer Science Masters Project

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This course allows you to study two or more areas of computing that relate to your interests along with key core areas of computer science. Depending on the modules chosen, it can lead to a career in areas such as software development, systems design, user interface design, or database design and administration.

About the course

The MSc Advanced Computer Science course consists of two major parts: taught modules and an MSc project. Each taught module has an assigned number of credits (either 15 or 30). Some modules are compulsory and some are optional. The project is compulsory and has a modular value of 60. In order to obtain an MSc degree you must study and pass 120 credits of taught modules plus the project i.e. 180 credits in total.

Why choose this course?

-This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies
-This MSc is one of a range of advanced courses within our postgraduate masters programme in Computer Science
-You will develop knowledge and skills in the models, methodologies, measures and tools that can be employed in your future career
-You will be taught by a highly-regarded and long-established computer science department with strong links to business
-Half the research outputs in Computer Science at the University of Hertfordshire have been rated at world-leading or internationally excellent in the Research Excellence Framework (REF 2014)

Careers

Our masters programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research. This particular course will prepare you for a career such as a software engineer, developer or project manager.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Year 1
Core Modules
-Programming Paradigms
-Preparation for Placement
-Professional Work Placement for MSc Computer Science

Optional
-Professional Issues
-Investigative Methods for Computer Science
-Data Mining
-Mobile Standards, Interfaces and Applications
-Human Computer Interaction: Principles and Practice
-Advanced Databases
-Measures and Models for Software Engineering
-Programming for Software Engineers
-Software Engineering Practice and Experience
-Distributed Systems Security
-Secure Systems Programming
-Network System Administration
-Multicast and Multimedia Networking
-Wireless, Mobile and Ad-hoc Networking
-Artificial Life with Robotics
-Neural Networks and Machine Learning
-Theory and Practice of Artificial Intelligence
-Information Security, Management and Compliance
-Digital Forensics
-Penetration Testing

Year 2
Core Modules
-Advanced Computer Science Masters Project

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Our MSc in Advanced Computer Science and IT Management is taught in collaboration with Manchester Business School. As such, the programme benefits from the offerings of both schools. Manchester Business School is the largest campus-based business and management school in the UK offering world-leading business education informed by leading edge theory and practice. Similarly, the School of Computer Science is renowned as a world-class centre of excellence in computing teaching and research.

This course is ideal for students who have the desire to drive technology into effective use in business. Information systems are pervasive in every aspect of industry, business and society and therefore there is growing demand for people who have a high level of technical knowledge and are prepared for a leadership role, utilising entrepreneurial and management skills in the solution of business problems. This course is centred around a Management theme, which encompasses relevant MBS course units, and combines it with a choice of complementary Computer Science themes such as Data Management, Software Engineering, and Advanced Web Technologies. The students take modules from 4 theme pools, two in IT Management and two in Computer Science. The course also provides a specialisation in Information Management.

Coursework and assessment

Teaching and assessment take place through small group lectures, supervised laboratory work, mini-projects and independent learning. Course units are assessed by a mixture of written examinations, computer based practical work, and a range of coursework assessments including assessed mini-projects, group projects, reports and essays. The MSc requires a project dissertation to be submitted.

Course unit details

The collaborative nature of the course ensures that students benefit from the offerings of both the School of Computer Science and the Manchester Business Scool. Taught course units can be chosen from the broad range of Advanced Computer Science course units. In addition, there are course units especailly developed by the Manchester Business School covering topics on computing and IT support for strategic analysis and management, strategic change and effective decision making in corporate organisations.

Career opportunities

The MSc in Advanced Computer Science with IT Management has an excellent record of employment for its graduates. They are clearly in demand by the IT industry and related sectors. The following indicates the areas in which our graduates have found work: Associate Consultant Business/IT consultant, Computer Programmer, Business Analyst, Graduate Trainee, IT Consultant, IT Contractor, Internet Developer, Consultant-Programmer analyst, Senior Software Engineer, Software Developer, Support Engineer, Teacher, Technical Consultant.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry.

Accrediting organisations

Dual accredited for CEng registration, for standard route IEng registration and Sydney Accord recognition.

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The MSc Computer Science is a full-time one-year Masters degree course for students who have a first degree in a subject other than computing. Designed to open the door to exciting new career opportunities in computer science and information technology, the programme is suitable for a variety of hard-working graduates from diverse subject backgrounds. Established in 1969, this is now the longest-running conversion programme to computing in the UK.

The programme is different to IT programmes, in that it is a technical degree with a significant programming component. It is designed to give you a grounding in both the fundamentals of computer science and practical software development skills with a choice of in-depth optional modules. Students from all backgrounds are welcome to apply. Competency should be demonstrated in mathematics and scientific subjects, for example at 'advanced' high school level, which should allow understanding of the new Computer Science subjects.

The core components of this degree course are a software workshop, taught modules and a summer project. The software workshop involves two terms of intensive training in Java programming, including lectures, supervised laboratory work and small-group tutorials.

At the same time students enrol in a variety of modules, including: Introductory Computer Science; Software Engineering; Databases; and Computer Networks. In the summer term, students engage in developing a substantial software project under the supervision of a faculty member.

Students join this programme from a wide range of first degrees, from the technical and scientific to the social sciences and humanities. Graduates of this degree are highly sought after by employers due to the special knowledge, expertise and skills acquired.

About the School of Computer Science

The School of Computer Science at University of Birmingham has consistently been ranked in the Top 10 in UK league tables and has regularly achieved high satisfaction scores in National Student Surveys. 95% of our students go into graduate employment (Destination of Leavers from Higher Education Survey 2014/15), and our School is ranked 8th nationally for research quality in the '2014 Research Excellence Framework'.
Our work is regularly presented in international conferences and journals, indicating the high standards we achieve in research. In 2008, the UK Funding Councils undertook a national assessment of the quality of research at British universities, the RAE. Among 81 submissions nationally for computer science, the School is equal 7th in the proportion of 4* awards, for research quality that is world-leading in terms of originality, significance and rigour.

Funding and Scholarships

There are many ways to finance your postgraduate study at the University of Birmingham. To see what funding and scholarships are available, please visit: http://www.birmingham.ac.uk/postgraduate/funding

Open Days

Explore postgraduate study at Birmingham at our on-campus open days.
Register to attend at: http://www.birmingham.ac.uk/postgraduate/visit

Virtual Open Days

If you can’t make it to one of our on-campus open days, our virtual open days run regularly throughout the year. For more information, please visit: http://www.pg.bham.ac.uk

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The MSc Advanced Computer Science will offer you exposure to key topics that are driving key technological developments and trends.

Computer Science is one of the fastest-moving academic disciplines and the outcomes of research and innovation in this field could have a massive social impact.

The subject spans all aspects of modern life, and this programme offers you the opportunity to apply new skills and advanced techniques to the area of your choice, whilst allowing you to demonstrate that you are at the forefront of your discipline.

Core to this programme is the opportunity to further develop the scope of your problem-solving skills by studying advanced programming languages and new programming paradigms.

You will choose to study optional, research-led modules that allow the freedom to build a distinctive personal portfolio of skills and knowledge. These are structured around advanced topics in the School's three core research areas:

• Complex Systems
• Visual Computing
• Data and Knowledge Engineering

Distinctive features:

• This is an advanced computer science degree designed for computing graduates who wish to differentiate themselves further through an advanced mastery of the discipline.

• In addition to covering core advanced computer science topics, you may select from up to two of three research topics in which to specialise (Complex Systems, Visual Computing, Data and Knowledge Engineering).

• During the summer months you will undertake an individual research project and complete a dissertation under the supervision of a member of academic research staff. The topic for this will be driven by your own interests.

Structure

You will study taught modules to a total of 120 credits during the Diploma stage of your degree. All taught modules are worth 20 credits.

The Master’s stage of your degree will be an individual project (worth 60 credits) which you will write up as a dissertation, after the Diploma stage.

During the Diploma stage, students must take all core modules and then select further optional modules to make up their 120 credit total.

During the summer months you will undertake an individual research project and complete a dissertation (worth 60 credits) under the supervision of a member of academic research staff.

This specialist Master’s degree will provide graduates of computing with the opportunity to enhance knowledge, skills and understanding of the subject through modules taught by research experts in their specialist area.

As well as being taught a compulsory module on new programming paradigms, you will choose from a range of carefully selected modules focusing on contemporary and relevant topics currently emerging within the discipline.

Core modules:

Programming Paradigms
Dissertation

Optional modules:

Information, Network & Cyber Security
Security Techniques
High Performance Computing
Visual Computing
Pattern Recognition and Data Mining
Computer Science Topic 1: Web and Social Computing
Distributed and Cloud Computing
Human Centric Computing
Informatics
Digital Forensics
E-Commerce and Innovation
Secure Applications, Identity and Trust

Teaching

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.

Modules are delivered through a series of either full or half-day contact sessions, which include lectures, seminars, workshops, tutorials and laboratory classes.

Most of your taught modules will have further information for you to study and you will be expected to work through this in your own time according to the guidance provided by the lecturer for that module.

Support

As a School, we pride ourselves on providing a supportive environment in which we are able to help and encourage our students.

We believe that providing suitable feedback mechanisms is crucial to ensure that the best programmes of study are available to our students.

We have a student/staff panel consisting of elected student representatives and members of teaching staff who meet to discuss academic issues.

In conjunction with the work of the panel, all students are provided with an opportunity to complete feedback questionnaires at the end of the Autumn and Spring semesters.

These mechanisms allow the School to regularly review courses and ensure our students receive the best provision, delivered in a consistent manner, across all of our degrees.

At the start of your course you will be allocated a Personal Tutor who is an academic member of staff in the School and serves as a point of contact to advise on both academic and personal matters in an informal and confidential manner.

Your Personal Tutor will monitor your academic progress and supply references in support of any job applications that you make.

Your Personal Tutor will monitor your progress throughout your time at university and will support you in your Personal

Development Planning. You will see your Personal Tutor at least once each semester.

Outside of scheduled tutor sessions, our Senior Personal Tutor runs an open door policy, being on hand to advise and respond to any personal matters as they arise.

Feedback:

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

Assessment

Modules will be assessed either by coursework, examination, or a combination of both.

Career prospects

Successful graduates will be able to demonstrate to employers both a deep understanding and broad knowledge concerning contemporary computer science from a research and development perspective.

Graduates will be ideally placed to pursue a number of careers such as systems architects, programmers and software developers, and will be in a strong position to pursue a research career via doctoral studies.

The selection of modules on offer aim to enhance your transferable skills and boost employment prospects.

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The aim of this course is to provide students with a state-of-the-art collection of knowledge, understanding, and skills in the area of Advanced Computer Science. This collection aims to be of particular depth so as to provide the student with the relevant knowledge, understanding, and skills to prepare them for a career in Computer Science research. It is designed for students with a good first degree in Computer Science or related areas who wish to deepen their understanding, knowledge, and skills, and aim at a research career in either Industry or Academia.

A student following this course chooses two themes, each consisting of a conceptually coherent set of two course units of 15 credits each, and they take three course units out of these. In addition, they follow three Research Seminars COMP80122, COMP80131, COMP80142 of 5 credits each. This will provide students with the necessary knowledge and skills in Research methodology, ethics and professional issues, as well as communication and presentation skills. As part of COMP80122, students actively participate in the school's annual research symposium, held in reading week between Period 1 and 2.

Teaching and learning

We use a variety of teaching forms, from face-to-face lectures via supervised and unsupervised labs, to self-study elements and supervised projects. Where appropriate, we use blended learning and enquiry based learning.

All our taught course units use coursework as a part of fomative assessment, to deepen and assess both knowledge and understanding and to teach and assess relevant skills.

Facilities

-Newly refurbished computing labs furnished with modern desktop computers
-Access to world leading academic staff
-Collaborative working labs complete with specialist computing and audio visual equipment to support group working
-Over 300 Computers in the School dedicated exclusively for the use of our students
-An Advanced Interfaces Laboratory to explore real time collaborative working
-A Nanotechnology Centre for the fabrication of new generation electronic devices
-An e-Science Centre and Access Grid facility for world wide collaboration over the internet
-Access to a range of Integrated Development Environments (IDEs)
-Specialist electronic system design and computer engineering tools

Career opportunities

Our Advanced Computer Science courses have an excellent record of employment for its graduates. Opportunities exist in fields as diverse as finance, films and games, pharmaceuticals, healthcare, consumer products, and public services - virtually all areas of business and society. Manchester Advanced Computer Science courses are considered among the best in the country and our graduates are actively targeted for the very top jobs in industry and academia.

The MRes in Advanced Computer Science particularly focuses students to explore further study at research level, or to careers in industrial or academic research and development.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry.

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