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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study High Performance and Scientific Computing at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study High Performance and Scientific Computing at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The MSc in High Performance and Scientific Computing is for you if you are a graduate in a scientific or engineering discipline and want to specialise in applications of High Performance computing in your chosen scientific area. During your studies in High Performance and Scientific Computing you will develop your computational and scientific knowledge and skills in tandem helping emphasise their inter-dependence.

On the course in High Performance and Scientific Computing you will develop a solid knowledge base of high performance computing tools and concepts with a flexibility in terms of techniques and applications. As s student of the MSc High Performance and Scientific Computing you will take core computational modules in addition to specialising in high performance computing applications in a scientific discipline that defines the route you have chosen (Biosciences, Computer Science, Geography or Physics). You will also be encouraged to take at least one module in a related discipline.

Modules of High Performance and Scientific Computing MSc

The modules you study on the High Performance and Scientific Computing MSc depend on the route you choose and routes are as follows:

Biosciences route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Conservation of Aquatic Resources or Environmental Impact Assessment

Ecosystems

Research Project in Environmental Biology

+ 10 credits from optional modules

Computer Science route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Partial Differential Equations

Numerics of ODEs and PDEs

Software Engineering

Data Visualization

MSc Project

+ 30 credits from optional modules

Geography route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Partial Differential Equations

Numerics of ODEs and PDEs

Modelling Earth Systems or Satellite Remote Sensing or Climate Change – Past, Present and Future or Geographical Information Systems

Research Project

+ 10 credits from optional modules

Physics route (High Performance and Scientific Computing MSc):

Graphics Processor Programming

High Performance Computing in C/C++

Operating Systems and Architectures

Software Testing

Programming in C/C++

Partial Differential Equations

Numerics of ODEs and PDEs

Monte Carlo Methods

Quantum Information Processing

Phase Transitions and Critical Phenomena

Physics Project

+ 20 credits from optional modules

Optional Modules (High Performance and Scientific Computing MSc):

Software Engineering

Data Visualization

Monte Carlo Methods

Quantum Information Processing

Phase Transitions and Critical Phenomena

Modelling Earth Systems

Satellite Remote Sensing

Climate Change – Past, Present and Future

Geographical Information Systems

Conservation of Aquatic Resources

Environmental Impact Assessment

Ecosystems

Facilities

Students of the High Performance and Scientific Computing programme will benefit from the Department that is well-resourced to support research. Swansea physics graduates are more fortunate than most, gaining unique insights into exciting cutting-edge areas of physics due to the specialized research interests of all the teaching staff. This combined with a great staff-student ratio enables individual supervision in advanced final year research projects. Projects range from superconductivity and nano-technology to superstring theory and anti-matter. The success of this programme is apparent in the large proportion of our M.Phys. students who seek to continue with postgraduate programmes in research.

Specialist equipment includes:

a low-energy positron beam with a highfield superconducting magnet for the study of positronium

a number of CW and pulsed laser systems

scanning tunnelling electron and nearfield optical microscopes

a Raman microscope

a 72 CPU parallel cluster

access to the IBM-built ‘Blue C’ Supercomputer at Swansea University and is part of the shared use of the teraflop QCDOC facility based in Edinburgh

The Physics laboratories and teaching rooms were refurbished during 2012 and were officially opened by Professor Lyn Evans, Project Leader of the Large Hadron Collider at CERN. This major refurbishment was made possible through the University’s capital programme, the College of Science, and a generous bequest made to the Physics Department by Dr Gething Morgan Lewis FRSE, an eminent physicist who grew up in Ystalyfera in the Swansea Valley and was educated at Brecon College.



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This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems. Read more
This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems.

Who is it for?

This industry-focused course is for Computer Science graduates and experienced professional programmers interested in developing high-quality, complex software systems and aiming at a high-quality career in the industry, e.g. software houses, consultancies, and major software users across different sectors.

Students will have a keen interest in designing complex software systems, coding them in a programming language using the latest technologies (SOA, cloud, etc.), and ensuring that they are of high quality and that they actually meet the needs of their stakeholders.

Objectives

You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages, and evaluating and responding to recent trends in interoperability and software development.

The course focuses on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, like the C++ and Java programming languages and the UML modelling language.

The course covers significant trends in systems development, including service-oriented architecture, cloud computing, and big data. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering, which has one of the largest groups of academics working in this area in London, covering almost all aspects - from requirements, to designing reliable systems for the nuclear industry.

Placements

Postgraduate students on a Computing and Information Systems course are offered the opportunity to complete up to six months of professional experience as part of their degree.

Our longstanding internship scheme gives students the chance to apply the knowledge and skills gained from their taught modules within a real business environment. An internship also provides students with professional development opportunities that enhance their technical skills and business knowledge.

Internships delivered by City, University of London offer an exceptional opportunity to help students stand out in the competitive IT industry job market. The structure of the course extends the period for dissertation submission to January, allowing students to work full-time for up to six months. Students will be supported by our outstanding Professional Liaison Unit (PLU) should they wish to consider undertaking this route.

Teaching and learning

Software Engineering MSc is available full-time (12 months) as well as part-time (up to 28 months).

Students successfully completing eight taught modules and the dissertation for their individual project will be awarded 180 credits and a Master's level qualification. Alternatively, students who do not complete the dissertation but have successfully completed eight taught modules will be awarded 120 credits and a postgraduate diploma. Successful completion of four taught modules (60 credits) will lead to the award of a postgraduate certificate.

Assessment

Each module is assessed through a combination of coursework and examination.

Modules

You will develop skills in analysing requirements and designing appropriate software solutions; designing and creating complex software systems to solve real-world problems, evaluating and using advanced software engineering environments, design methods and programming languages and evaluating and responding to recent trends in interoperability and software development.

The focus of the course is on advanced engineering concepts and methods, as well as design issues for the systematic development of high-quality complex software systems. These are explored using industrial strength technologies, such as the C++ and Java object-oriented programming languages and the UML modelling language.

The course covers significant trends in systems development, including service-oriented architecture, mobile and pervasive computing, cloud computing, big data, and XML-enabled interoperable services. The course is delivered by acknowledged experts and draws on City's world-class research in Systems and Software Engineering. City has one of the largest groups of academics working in the area in London, working on almost all aspects of the area - from requirements, to designing reliable systems for the nuclear industry.

Core modules - there are five core modules:
-Advanced Database Technologies (15 credits)
-Research Methods and Professional Issues (15 credits)
-Service Oriented Architectures (15 credits)
-Software Systems Design (15 credits)
-Advanced Programming: Concurrency (15 credits)

Elective modules - you will be required to take three elective modules, choosing from the following:
-Advanced Algorithms and Data Structures (15 credits)
-Big Data (15 credits)
-Programming in C++ (15 credits)
-Business Engineering with ERP Solutions (15 credits)
-Mobile and Pervasive Computing (15 credits)
-Data Visualization (15 credits)
-Cloud Computing (15 credits)

Career prospects

The MSc in Software Engineering aims to meet the significant demand for graduates with a good knowledge of computing. This demand arises from consultancies, software houses, major software users such as banks, large manufacturers, retailers, and the public services, defence, aerospace and telecommunications companies.

Typical entrants to the course have a degree in an engineering or scientific discipline, and wish to either move into the software engineering field or to the development of software for their current field. Entrants must have previous exposure to computing, especially to programming (particularly in Java or C#) and relational databases (from either academic or professional experience).

From this base, the course provides solid technical coverage of advanced software development, including such widely used languages as C++, Java, UML and XML for which demand is particularly high. The course is therefore quite demanding; its success in providing advanced academic education along these lines is evident from the fact that recent graduates of the course are currently employed in a wide spectrum of organisations.

Of course, the employment value of a master's degree is not just short term. Although on-the-job training and experience as well as technology specific skills are valuable, they can be rather narrow and difficult to validate, and to transfer. The structure of this course ensures that there is a strong balance between the development of particular skills and a solid education in the enduring principles and concepts that underlie complex software system development.

SAP Certification - in parallel to your degree you will be able to register for a SAP TERP10 Certification course at a substantial discount, thus obtaining an additional, much sought-after qualification

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Designed to build on the computing knowledge gained in your undergraduate studies, this MSc will enable you to move into games programming and gain an in-depth knowledge of related specialised areas. Read more
Designed to build on the computing knowledge gained in your undergraduate studies, this MSc will enable you to move into games programming and gain an in-depth knowledge of related specialised areas. The award covers a range of topics including: 3D graphics using DirectX, Artificial Intelligence, Physics, Low level PlayStation 3 programming, and software engineering for games.

Practical classes are taught using new high spec computers, mobile devices, and games consoles including the Xbox 360, and PlayStation 3. By studying on this award, you will be at the heart of these exciting and innovative developments, and equipped for a future and promising career in this area. There is also the opportunity to complete a placement in the games industry.

Accreditation

BCS accredited: CITP Further Learning and CEng/CSci partial fulfilment.

Course content

Taught modules cover game engine programming and architecture, real-time graphics for games, low level techniques and optimisation, game artificial intelligence, concurrent and multiplayer game programming, professional games development, and research techniques. The main programming language is C++.

Throughout your course you will create games for a variety of computer and console platforms, mobile devices, and networked systems, both individually and in teams, building up a portfolio of work to show to potential employers. You will learn research methods and write a research proposal, and will then undertake a dissertation in an area of game programming which interests you.

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-Explore the most advanced studio techniques, technologies and processes at the forefront of current music production. -Unleash your creative potential and cultivate your own individual style to produce original arrangements, mixes, re-mixes and mastering work. Read more
-Explore the most advanced studio techniques, technologies and processes at the forefront of current music production
-Unleash your creative potential and cultivate your own individual style to produce original arrangements, mixes, re-mixes and mastering work
-Deliver comprehensive solutions and support for live sound in a variety of performance settings
-On this postgraduate degree you will create your own A/V interfaces, plug-ins, and programming codes

Why choose this course?

Music specialising in Audio Programming is designed to provide industry-relevant postgraduate education aimed at forming creative professional for the audio, production, and post-production industry, who wish to pursue careers as creative Audio Engineers or Producers within recording, production or as software developers, consultants or audio-media specialists. Students take hands-on sessions in the University's state-of-the-art facilities, including a top-class SSL studio, guided by dedicated tutors with significant industry experience. The postgraduate curriculum covers all the most relevant and current skills of the field, and sessions and assessment are designed to reproduce, as far as possible and appropriate, the realities of the commercial environment.

We are one of the largest music department in the UK, offering a rich portfolio of forward-looking music programmes uniquely designed to develop the most relevant skills in the current industry. The environment is friendly and supportive, and students benefit from being part of a large community of creatives in all fields: from film, to new media, performance, and fine arts.

Our top-class facilities include:
-2 labs, each with 36 workstations dual monitor Apple Intel
-Large recording studio with latest SSL AWS 900+ SE
-Studio with Yamaha 02R/96
-3 monitoring spaces for surround sound
-Dubbing suite for audio-to-video work
-Foley studio for sound design work
-Sony Game studio
-Multimedia studios
-Anechoic chamber
-TV studio
-460-seat state-of-the-art performance venue with A/V recording facilities

Careers

When you graduate from these awards you will be ideally positioned to act as an interface between various music technologies and composers/producers. You may also consider a range of related positions such as lecturer, technical editor for music technology publications and other similar professions in the music industry or consider further study at doctoral level.

Teaching methods

Lecture, seminars and tutorials are typically scheduled over two consecutive days a week, plus some extra sessions for particular workshops, performance and recording. In addition to scheduled sessions, students are expected to engage in self-directed study and studio practice.

Structure

Core Modules
-Creative Economies
-Creative Music Production (Discourse / Reflection)
-Major Study:Music Projects
-Practice 1: Studio Technology, Practices and Processes
-Practice 2: Audio Programming
-Research and Enquiry

Optional
-Creative Economies (Online)
-Research and Enquiry (Online)

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IN BRIEF. Gain a firm grounding in control engineering and intelligent systems concepts. This course has a particular emphasis on advanced robotics, where robots are designed to operate with a degree of intelligence. Read more

IN BRIEF:

  • Gain a firm grounding in control engineering and intelligent systems concepts
  • This course has a particular emphasis on advanced robotics, where robots are designed to operate with a degree of intelligence
  • Projects supported by internationally-leading research
  • Part-time study option
  • International students can apply

COURSE SUMMARY

This course is for students who already have a strong engineering background and wish to specialise in robotics and automation. This course has a particular emphasis on advanced robotics, where robots are designed to operate with a degree of intelligence.

You will gain a firm grounding in control engineering and intelligent systems concepts, along with the ability to comprehend and fully specify integrated automation systems embodying intelligence, robotic and automation hardware and software, and virtual reality (VR)/simulation technologies.

The course also provides a suitable background for research in advanced autonomous systems with reference to robotics.

TEACHING

You will be taught via a series of lectures and workshops with many of the modules taught via extensive hands-on practical lab-based sessions.

Practical experience includes the use of robotics platforms to produce a software system using the MATLAB toolboxes or the C programming language or to produce a finished hardware/software based mobile robotics system.

ASSESSMENT

70% coursework and 30% examination.

FACILITIES

There are dedicated labs and facilities for Robotics and Automation students, including: Industrial robots, flexi-picker, manipulators (Hitachi, KUKA) humanoid robots plus many mobile robots. Plus dedicated computing facilities

And if you do your MSc Project with an aerospace company, as many of our students do, then you will also have access to their facilities.

EMPLOYABILITY

Graduates from this course can expect to find employment in a range of industries. Robotics and automation are continuously developing topics that present many career opportunities in areas such as robotic design, control systems integration and design, factory automation, engineering management and research.

LINKS WITH INDUSTRY

Many of our students work on final year projects in conjunction with aeronautical companies associated with the University.

FURTHER STUDY

Many of our students go on to further study at the Centre for Advanced Robotics which is very closely linked with this course.



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Commercial products today combine many technologies, and industry is increasingly interdisciplinary. This course is designed to meet this demand, giving you an interdisciplinary knowledge base in modern electronics including power, communications, control and embedded processors. Read more

Commercial products today combine many technologies, and industry is increasingly interdisciplinary. This course is designed to meet this demand, giving you an interdisciplinary knowledge base in modern electronics including power, communications, control and embedded processors.

You’ll develop a broad grasp of a range of interlocking disciplines, combining core modules developing your practical lab skills and industry awareness with a range of optional modules that allow you to focus on topics that suit your interests or career plans. Next-generation silicon technologies, electric drives and generating electric power from renewable sources are among the topics you could study.

This course will appeal to people with a broad interest in electronics and communications, as well as those who are interested in modern communications techniques, radio propagation, cellular mobile systems, control systems, power and drives, and modern system on-chip technology.

Specialist facilities

Our School is an exciting and stimulating environment where you’ll learn from leading researchers in specialist facilities. These include our Keysight Technologies wireless communications lab, as well as labs for embedded systems, power electronics and drives.

Depending on your choice of project, you may have use of our Terahertz photonics lab, ultrasound and bioelectronics labs, class 100 semiconductor cleanroom, traffic generators and analysers, FPGA development tools, sensor network test beds.

The School also contains facilities for electron-beam lithography and ceramic circuit fabrication – and a III-V semiconductor molecular beam epitaxy facility. The Faculty is also home to the £4.3 million EPSRC National Facility for Innovative Robotic Systems, set to make us a world leader in robot design and construction.

Accreditation

This course is accredited by the Institution of Engineering and Technology (IET) under licence from the UK regulator, the Engineering Council.

Course content

Throughout the course you’ll choose from a range of optional modules that allow you to pursue topics across electronic and electrical engineering as they relate to your interests or career plans. You could focus on FPGA design for system-on-chip, wireless communications systems nano-electromechanical systems among many others to gain a broad and deep understanding a range of subjects.

A set of core modules will support your learning. You’ll take part in a range of experiments linked to your subject on our lab module, and you’ll develop your skills in programming. If you have no experience of C programming you’ll take the Programming module, or you can take Software Development if you already have those skills.

To build your understanding of the global electronics industry, you’ll also complete a dissertation. This could take the form of a business, manufacturing or outsourcing plan, a proposal for research funding or an essay on a specific aspect of the industry.

Over the summer months you’ll also work on your research project. This may give you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Electronic and Electrical Engineering module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • Industry Dissertation 15 credits
  • Mini Projects and Laboratory 15 credits
  • Main Project 45 credits

Optional modules

  • Wireless Communications Systems Design 15 credits
  • Micro- and Nano-Electromechanical Systems 15 credits
  • Power Electronics and Drives 15 credits
  • Electric Power Generation by Renewable Sources 15 credits
  • Electric Drives 15 credits
  • FPGA Design for System-on-Chip 15 credits
  • Control Systems Design 15 credits
  • Embedded Microprocessor System Design 15 credits
  • Medical Electronics and E-Health 15 credits
  • Programming 15 credits
  • Software Development 15 credits

For more information on typical modules, read Electronic and Electrical Engineering MSc(Eng) in the course catalogue

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

Recent projects by students in the School of Electronic and Electrical Engineering have included:

  • Wireless sensor networks, the internet of things and bicycle traffic in the city.
  • Device to Monitor Activity of Ageing People
  • Wind turbine strain gauge system
  • Wind turbine teaching demonstrator
  • Virtual Machines Placement in Core Networks with Renewable Energy
  • Design and Analysis of High-Performance Internet Routers
  • Spatial Modulation for Massive MIMO System
  • Fuel cell for energy storage
  • Low cost design and fabrication of 3D MEMS components
  • Ultrasonic Wind Speed Detection
  • Core Quantum Networks
  • Microwave Low Noise Amplifier

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Graduates of this course can expect to find jobs where industry needs a breadth of knowledge matched by a depth in certain areas.

You’ll be well equipped to integrate and co-ordinate the strands of a cross-disciplinary project and manage the interfaces between specialities. With these skills, you’ll be in a good position to progress to project management roles in companies working at the cutting edge of modern multi-faceted systems.

General Electric, AECOM, Deep Sea Electronics, Hyperdrive Innovation, Descon Engineering, Broadcom, Pakistan Oilfields Ltd., Wabtec Rail UK and many others are among the organisations where graduates from our School have found employment.



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The huge growth of processing power, now available in small power-efficient packages, has fuelled the digital revolution, which has touched all sectors of the economy. Read more

The huge growth of processing power, now available in small power-efficient packages, has fuelled the digital revolution, which has touched all sectors of the economy. This practically orientated, advanced course in the area of electronics design and applications provides a strong digital technology core backed with applications-led modules.

You’ll study applications as diverse as medical and electronics, e-health, intelligent building design, automotive electronics, retail and commerce to prepare you for a range of careers in industry, where the skills you gain will be in high demand. A substantial element of practical work will give you confidence with software and digital hardware implementations using microcontrollers, FPGA, DSP devices and general system-on-chip methodology.

You’ll be taught by experts informed by their own world-leading research, and you’ll have access to world-class facilities to prepare for a career in a fast-changing industry.

Our School is an exciting and stimulating environment where you’ll learn from leading researchers in specialist facilities . These include our Keysight Technologies wireless communications lab, as well as labs for embedded systems, power electronics and drives, ultrasound and bioelectronics.

There’s also a Terahertz photonics lab, class 100 semiconductor cleanroom, traffic generators and analysers, FPGA development tools, sensor network test beds. We have facilities for electron-beam lithography and ceramic circuit fabrication – and a III-V semiconductor molecular beam epitaxy facility.

Accreditation

This course is accredited by the Institution of Engineering and Technology (IET) under licence from the UK regulator, the Engineering Council.

Course content

The programme is built around a set of core modules that will develop your knowledge and skills areas such as digital signal processing, embedded microprocessor systems and how electronics and communications technology could be used in healthcare. You’ll also take a core lab-based module to give you experience of different circuits, systems, equipment and tools.

Optional modules will give you the chance to develop specialist knowledge. If you don’t have any experience of C programming, you’ll take Programming – otherwise, you can choose to take either this module of Software Development. Then you’ll choose one additional module specialising either in data communications and network security or the principles of digital wireless communications.

To build your understanding of the global electronics industry, you’ll also complete a dissertation. This could take the form of a business, manufacturing or outsourcing plan, a proposal for research funding or an essay on a specific aspect of the industry.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Embedded Systems Engineering module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • Industry Dissertation 15 credits
  • Digital Signal Processing for Communications 15 credits
  • Mini Projects and Laboratory 15 credits
  • FPGA Design for System-on-Chip 15 credits
  • Digital Media Engineering 15 credits
  • Embedded Microprocessor System Design 15 credits
  • Medical Electronics and E-Health 15 credits
  • Main Project 45 credits

Optional modules

  • Digital Wireless Communications Principles 15 credits
  • Data Communications and Network Security 15 credits
  • Programming 15 credits
  • Software Development 15 credits

For more information on typical modules, read Embedded Systems Engineering MSc(Eng) in the course catalogue

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The research project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

A proportion of projects are formally linked to industry, and may include spending time at the collaborator’s site over the summer.

Career opportunities

Embedded systems are ubiquitous in engineering and graduates are likely to find employment in a wide and diverse range of industries including: communications, automotive, transport, construction, industrial, automation, energy and environmental monitoring

Careers support

You’ll have access to the wide range of engineering and computing careers resources held by our Employability team in our dedicated Employability Suite. You’ll have the chance to attend industry presentations book appointments with qualified careers consultants and take part in employability workshops. Our annual Engineering and Computing Careers Fairs provide further opportunities to explore your career options with some of the UK’s leading employers.

The University's Careers Centre also provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website



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The MSc in Digital Systems Engineering is a one-year full-time taught course that makes extensive use of the knowledge and expertise from our well established Intelligent Systems and Nano-Science Research Group. Read more
The MSc in Digital Systems Engineering is a one-year full-time taught course that makes extensive use of the knowledge and expertise from our well established Intelligent Systems and Nano-Science Research Group.

It is intended to provide students with a good theoretical background and solid hands-on experience of the techniques used in modern digital systems design. Using FPGAs as a hardware platform and VHDL as a design language, the programme provides students with:
-A balanced picture of state-of-the-art digital systems design methods
-A sound theoretical and practical knowledge of digital devices, tools, data networks and operating systems
-The ability to learn new techniques to keep up-to-date with new developments in an industrial and/or research setting
-Experience of the use of industry-standard tools to make them attractive candidates for prospective employers in the field
-Experience of working within a group and of the important management skills required by industry
-Hands-on experience of the different stages of the design of a modern digital system, which will culminate in the construction of a complex device (for example, an FPGA-based MP3 player)

Course Content

The course aims to provide a broad-based introduction to state-of-the-art digital system design techniques and to provide a solid grounding in both theory and practice. It is suitable for students wishing to pursue a career in digital electronic industry and research.

[[Group Project
The aim of this substantial group project is to immerse the students in a life-like scenario of a company developing digital systems. The project will involve the design, construction and implementation of a complete FPGA-based digital system, providing students with practical experience of project management and team skills. The system will include both software (such as human-computer interface, low-level programming) and hardware (such as FPGA, A/D converters, communication interfaces) components. The project will culminate in the design and realisation of a printed circuit board hosting a FPGA interfaced to a variety of peripherals. Communication links allowing connection to a PC will enable the creation of a diverse range of multimedia, diagnostic or communication systems. Furthermore, at the end of the project, students will keep the boards they have designed, providing them with a complete FPGA development system, allowing them to further investigate digital systems design.

The project preparation will begin towards the end of the Autumn term when groups will be given a Quality Assurance manual, that will prepare the students to establish effective company policies, procedures and roles for group members, introducing the Quality Assurance processes applied to medium to large projects in industry.

In the Autumn term, a module on 'C Programming' will hone the students' skills required to effectively carry out the software components of the project. The module will provide a practical introduction to writing and running C programs as an example of a procedural programming language.

In the Spring term, the actual project will get under way. Groups of 4-6 students will be formed, assigned a target system to design, and provided with a budget. In this term, the students will prepare an implementation plan that will be followed for the remainder of the project. Detailed system specifications will be established and the budget allocated, taking into account the cost of components and off-the-shelf IP modules.

In the Summer term, the project will continue with the pre-implementation phase. Students will design a PCB with the components (FPGA, communication interfaces, displays, memories, etc.) defined in the system specifications. The design will be sent to fabrication and returned by the end of term. Along with the PCB design, the students will develop a block-level algorithmic description of the system to be implemented, defining the role of each component within the system and beginning the development of the software components of the system.

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The communications sector has changed dramatically in the past 5 years, as mobile internet, smartphones and associated apps such as social media, commerce and digital media have spurred an information revolution. Read more

The communications sector has changed dramatically in the past 5 years, as mobile internet, smartphones and associated apps such as social media, commerce and digital media have spurred an information revolution.

This programme responds to the growth of networks and mobile internet applications, allowing you to study traditional communications theory alongside modules dealing with network security and the protocols for high-speed switches and routers.

You’ll build your knowledge of new developments in data-centric networking and the growing trend in cloud computing and online services, such as web-search, video content hosting and distribution, social networking and large-scale computations. Optional modules will allow you to specialise in topics appropriate to your interests and career plans.

It’s a chance to gain specialist knowledge and skills that will be in demand over a wide range of disciplines, from the traditional communications industries to banking, finance and commerce.

Specialist facilities

Our School is an exciting and stimulating environment where you’ll learn from leading researchers in specialist facilities. Depending on your research project, these may include our Keysight Technologies wireless communications lab, as well as labs for embedded systems, power electronics and drives, ultrasound and bioelectronics.

There’s also a Terahertz photonics lab, class 100 semiconductor cleanroom, traffic generators and analysers, FPGA development tools, sensor network test beds. We have facilities for electron-beam lithography and ceramic circuit fabrication – and a III-V semiconductor molecular beam epitaxy facility.

The Faculty is also home to the £4.3 million EPSRC National Facility for Innovative Robotic Systems, set to make us a world leader in robot design and construction.

Course content

The programme is built around a set of core modules that develop your knowledge across both semesters. You’ll build your understanding of topics like communication network design, high-speed internet architecture, optical communications networks, data communications and the issues surrounding network security.

If you have no experience of C programming, you’ll also take a module that will equip you with these skills. However, if you do, you could choose to take a specialist module on software development instead. In addition, you’ll choose from optional modules on topics such as digital media engineering, cellular mobile communication systems and even applications of this technology in the medical sector.

To build your understanding of the global electronics industry, you’ll also complete a dissertation. This could take the form of a business, manufacturing or outsourcing plan, a proposal for research funding or an essay on a specific aspect of the industry.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Digital Communications Networks module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • Industry Dissertation 15 credits
  • Communication Network Design 15 credits
  • Optical Communications Networks 15 credits
  • High Speed Internet Architecture 15 credits
  • Data Communications and Network Security 15 credits
  • Main Project 45 credits

Optional modules

  • Wireless Communications Systems Design 15 credits
  • Cellular Mobile Communication Systems 15 credits
  • Digital Wireless Communications Principles 15 credits
  • FPGA Design for System-on-Chip 15 credits
  • Digital Media Engineering 15 credits
  • Medical Electronics and E-Health 15 credits
  • Programming 15 credits
  • Software Development 15 credits

For more information on typical modules, read Digital Communications Networks MSc(Eng) in the course catalogue

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Career opportunities

Career prospects are excellent. There is a wide range of career opportunities in all aspects of the communications industry, and the skills learned here will also be generic to allow employment in other sectors such as finance, banking, general manufacturing, etc.

Graduates from our School have pursued careers with organisations like Cisco Systems, General Electric, Huawei, Ericsson Telecommunications, Intel Corp., Technology and Strategy Board, Wabtec Rail UK, AECOM and Orascom Telecom.

Some graduates also choose the path of academic research and therefore subsequently undertake a PhD.

Careers support

You’ll have access to the wide range of engineering and computing careers resources held by our Employability team in our dedicated Employability Suite. You’ll have the chance to attend industry presentations book appointments with qualified careers consultants and take part in employability workshops. Our annual Engineering and Computing Careers Fairs provide further opportunities to explore your career options with some of the UK’s leading employers.

The University's Careers Centre also provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website



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Infectious diseases remain a major contributor to the global burden of disease, with HIV, malaria, measles, diarrhoeal disease and respiratory infections responsible for over 50% of premature deaths worldwide. Read more
Infectious diseases remain a major contributor to the global burden of disease, with HIV, malaria, measles, diarrhoeal disease and respiratory infections responsible for over 50% of premature deaths worldwide. However the availability of resources for interventions is limited in comparison with the scale of the challenges faced. Over the last decade there has been increasing recognition of the value of epidemiological analysis and mathematical modelling in aiding the design and interpretation of clinical trials from a population perspective and, downstream, to guide implementation, monitoring and evaluation of intervention effectiveness. The Epidemiology, Evolution and Control of Infectious Diseases (EECID) stream provides a research-based training in infectious disease epidemiology, mathematical modelling and statistics, genetics and evolution, and computational methods. The focus of the course is inter-disciplinary, with a strong applied public health element.

Based in the Department of Infectious Disease Epidemiology in the Faculty of Medicine, the stream provides an opportunity to learn, in a supportive and stimulating environment, from leaders in the field who are actively engaged in research and advise leading public health professionals, policy-makers, governments, international organisations and pharmaceutical companies, both nationally and internationally, on a range of diseases include pandemic influenza, HIV, TB, malaria, polio and neglected tropical diseases (NTDs).

This stream is linked to the Wellcome Trust 4-year PhD programme in the Epidemiology, Evolution and Control of Infectious Diseases which includes up to 5 funded studentships each year. Up to 3 further 1+3 MRC studentships are also available each year.

The emphasis of the course will be to provide a thorough training in epidemiology, mathematical modelling and statistics, and genetics and evolution, as applied to infectious diseases. This research-orientated training will incorporate taught material, practical sessions in statistical software (R) and C programming as well as wider generic training in the research and communication skills needed to interact with public health agencies. Through the two research-based projects students will be exposed to the latest developments in the field and will gain first-hand experience in applying the methods they are taught to questions of public-health relevance.

Individuals who complete the course will have developed the ability to:

-Describe the biology, epidemiology and control of major global infectious diseases
-Interpret and present epidemiological data
-Undertake statistical analysis of infectious disease data including applying modern methods for statistical inference
-Develop and apply mathematical models to understand infectious disease dynamics, evolution and control
-Analyse genetic data using modern techniques and interpret their relevance to infectious disease epidemiology
-Critically evaluate research papers and reports
-Write and defend research reports and publications
-Communicate effectively through writing, oral presentations and IT to facilitate further study or employment in epidemiology and public health
-Exercise a range of transferable skills

This will be achieved through a course of lectures, seminars, tutorials and technical workshops. Please note that Postgraduate Diplomas and Certificates for part-completion are not available for this course.

The stream will be based in the Department of Infectious Disease Epidemiology on the St Mary’s campus of Imperial College London.

Each student chooses two projects over the course of the year from the wide range available. Students are guided in this choice by the stream organiser and their personal tutor and are advised to take contrasting projects to ensure a balanced training.

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This new conversion masters programme builds on the strengths of the Queen Mary University School of Electronic Engineering and Computer Science. Read more
This new conversion masters programme builds on the strengths of the Queen Mary University School of Electronic Engineering and Computer Science. These strengths include world-leading research in: networks, antenna design and electromagnetics, computer vision and computer theory. This conversion masters programme features a common first semester of: analogue electronics, digital systems design (incorporating an on-line pre-sessional module in digital circuit design), control systems, embedded systems (incorporating C programming). In the second semester the electronic engineering stream features choices from: advanced control systems, critical systems, integrated circuit design, real-time DSP, while the electrical engineering stream features choices from: bioelectricity, microwave and millimeterwave communication systems, power electronics, and electrical power engineering. Both streams have a Project / industrial project during the 3rd (summer) semester.

* All new courses are required to undergo a two-stage internal review and approval process before being advertised to students. Courses that are marked "subject to approval" have successfully completed the first stage of this process. Applications are welcome but we will not make formal offers for this course until it has passed this second (and final) stage.

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This course is for you if you need to improve your English language skills and subject knowledge of electronic engineering before going on to a Masters course. Read more
This course is for you if you need to improve your English language skills and subject knowledge of electronic engineering before going on to a Masters course. You improve your language fluency and academic vocabulary, develop your academic skills, and gain experience of western methods of teaching and learning so that you can progress onto a relevant Masters course in our School of Computer Science and Electronic Engineering.

At Essex, you can progress onto our MSc Computer Networks and Security, MSc Electronic Engineering, or MSc Telecommunication and Information Systems.

Our International Academy offers some of the best routes for international students to enter higher education in the UK. Our innovative courses and programmes have proved very successful with international students and have also attracted UK students because of the distinctive learning environment we offer.

If you are an international student, you may find that the education system in the UK is slightly different from other countries and, sometimes, that the transition to the British system can be challenging. Our courses help you to settle in and adapt to life in the UK.

Alongside improving your academic English skills, you also gain knowledge and understanding of the technical aspects of electronic engineering systems.

We are home to many of the world’s top engineers, and our work is driven by creativity and imagination as well as technical excellence. We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent’ (REF 2014).

Our expert staff

We have been one of the leading electronics departments in the country throughout our history, and in recent years, our prolific research staff have contributed to some major breakthroughs.

We invented the world's first telephone-based system for deaf people to communicate with each other in 1981, with cameras and display devices that were able to work within the limited telephone bandwidth. Our academics have also invented a streamlined protocol system for worldwide high speed optical communications.

Specialist facilities

By studying within our International Academy, you will have access to all of the facilities that the University of Essex has to offer:
-We provide computer labs for internet research; classrooms with access to PowerPoint facilities for student presentations; AV facilities for teaching and access to web-based learning materials
-Our new Student Services Hub will support you and provide information for all your needs as a student
-Our social space is stocked with hot magazines and newspapers, and provides an informal setting to meet with your lecturers, tutors and friends

You can also take advantage of our world-class computer science facilities:
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Example structure

-English for Academic Purposes
-Advanced English for Academic Purposes
-Critical Reading and Seminar Skills
-Engineering Mathematics
-Extended English for Academic Purposes Project
-Mathematical Research Techniques Using Matlab
-Advanced Embedded Systems Design (optional)
-C Programming and Embedded Systems (optional)
-Telecommunication Networks and Systems (optional)
-Telecommunication Principles (optional)

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This new conversion masters programme builds on the strengths of the Queen Mary University School of Electronic Engineering and Computer Science. Read more
This new conversion masters programme builds on the strengths of the Queen Mary University School of Electronic Engineering and Computer Science. These strengths include world-leading research in: networks, antenna design and electromagnetics, computer vision and computer theory. This conversion masters programme features a common first semester of: analogue electronics, digital systems design (incorporating an on-line pre-sessional module in digital circuit design), control systems, embedded systems (incorporating C programming). In the second semester the electronic engineering stream features choices from: advanced control systems, critical systems, integrated circuit design, real-time DSP, while the electrical engineering stream features choices from: bioelectricity, microwave and millimeterwave communication systems, power electronics, and electrical power engineering. Both streams have a Project / industrial project during the 3rd (summer) semester.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Data Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Data Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

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

Key Features of the MSc Data Science

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

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

Modules

Modules for the MSc Data Science programme include:

- Visual Analytics

- Data Science Research Methods and Seminars

- Big Data and Data Mining

- Big Data and Machine Learning

- Mathematical Skills for Data Scientists

- Data Visualization

- Human Computer Interaction

- High Performance Computing in C/C++

- Graphics Processor Programming

- Computer Vision and Pattern Recognition

- Modelling and Verification Techniques

- Operating Systems and Architectures

Facilities

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

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

Career Destinations

- Data Analyst

- Data mining Developer

- Machine Learning Developer

- Visual Analytics Developer

- Visualisation Developer

- Visual Computing Software Developer

- Database Developer

- Data Science Researcher

- Computer Vision Developer

- Medical Computing Developer

- Informatics Developer

- Software Engineer



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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science. Read more

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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