Masters Degrees in Computer Architectures

Research profile

The Institute for Computing System Architecture (ICSA) will provide you with academic resources and industry links that are among the best in the world.

We are home to the UK’s largest group of PhD researchers in the field, and host a Centre of Excellence in partnership with ARM, the world’s largest microprocessor intellectual property provider. We are also a member of the European Network of Excellence on High Performance and Embedded Architecture and Compilation.

Our current research is focused on the areas of:

• compilers and architectures
• parallel computing
• wireless networking
• processor-automated synthesis by iterative analysis.

Our wireless communication group is particularly strong, and presently working on expanding wireless reach within Scotland.

While the scope for research is wide, each area is underpinned by our fundamental aims:

• to extend understanding of existing systems
• to improve current systems
• to develop new architecture and engineering methods

Training and support

You’ll be supported in your research by award-winning academic staff – including four Fellows of the Royal Academy of Engineering. They and other research colleagues have contributed to what is an enviable publications portfolio, featuring some of the most prestigious publications in the field.

You’ll graduate with more than an intensive knowledge of your field: you’ll also have established academic and personal links that will last a lifetime.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

• Athena SWAN

Facilities

The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.

It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.

Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.

Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.

Career opportunities

Our students see their degrees as a launchpad for their careers, and many have established themselves as world-class researchers and developers. By joining their ranks, you will be able to make your mark on the next generation of technological innovations.

Academic and business employers actively recruit ICSA graduates, many of whom are now designing the next generation of products for major software developers, or taking the lead in other entrepreneurial ventures.

Read less

Bristol, and the surrounding area, hosts a thriving and world-leading semiconductor design industry. The Microelectronics group at the University of Bristol has many collaborative links with multinational companies in the microelectronics industry that have identified a shortfall in graduates with the necessary qualifications and professional skills to work in the sector. This programme has been designed to meet this need.

A range of taught subjects cover core topics such as advanced architectures and system design using FPGA and DSP platforms, before progressing into more specialised areas such as digital and analogue ASIC design, integrated sensors and actuators and mixed-signal design. Changes are made periodically to reflect important emerging disciplines, such as electronics for internet of things, bio-medical applications and neuromorphic computing.

The programme offers you the opportunity to learn from experts in micro- and nanoelectronics and computer science, to allow you to start working straight after your degree or continue your studies via a PhD. Special emphasis is put on providing you with a range of contemporary design skills to supplement theoretical knowledge. Lectures are accompanied by lab exercises in state-of-the-art industrial EDA software to give you experience of a professional environment.

Programme structure

The course consists of 120 credits of taught units and an individual research project worth 60 credits. The following core subjects, each worth 10 credit points (100 learning hours), are taken over autumn and spring:
-Design Verification
-Analogue Integrated Circuit Design
-Integrated Circuit Electronics
-Digital Filters and Spectral Analysis (M)
-Advanced DSP & FPGA Implementation
-VLSI Design M
-Embedded and Real-Time Systems
-Wireless Networking and Sensing in e-Healthcare

Additionally students are able to choose any two out of the following four 10-credit units (some combinations may not be possible due to timetabling constraints).

-Device Interconnect - Principles and Practice
-Advanced Computer Architecture
-Sustainability, Technology and Business
-Computational Neuroscience
-Bio Sensors

In the spring term, students also take Engineering Research Skills, a 20-credit unit designed to introduce the fundamental skills necessary to carry out the MSc project.

After completing the taught units satisfactorily, all students undertake a final project which involves researching, planning and implementing a major piece of work relating to microelectronics systems design. The project must have a significant scientific or technical component and may involve on-site collaboration with an industrial partner. The thesis is normally submitted by the end of September.

The programme structure is under continual discussion with the National Microelectronics Institute and our industrial advisory board in order that it remains at the cutting edge of the semiconductor industry. It is therefore subject to small changes on an ongoing basis to generally improve the programme and recognise important emerging disciplines.

Careers

This course gives graduating students the background to go on to a career in a variety of disciplines in the IT sector, due to the core and specialist units that cover key foundational concepts as well as advanced topics related to hardware design, programming and embedded systems and system-level integration.

Typical careers are in soft fabrication facilities and design houses in the semiconductor industry, electronic-design automation tool vendors, embedded systems specialists and software houses. The course also covers concepts and technologies related to emerging paradigms such as neuromorphic computing and the Internet of Things and prepares you for a career in academic research.

Read less

Course aims
Today, software is becoming ever more complex, developed with very short time to market, and required to cope with changing requirements. This scenario calls for increased levels of flexibility and agility, both in the technologies used and the processes followed for engineering software. This MSc will provide a sound background on the methods and techniques that can meet these challenges. Hands-on modules based on the Eclipse framework will ensure that this knowledge is framed in practical contexts of usage.

Course modules
Each specialist course consists of six core modules and two option modules. For the MSc there is also a project. All courses include the core module ‘Personal and Group Skills’.

Core Modules
Domain Specific Languages
Generative Development
Service Oriented Architectures
System Re-Engineering
Recommended Option
Software Process Engineering

Teaching and assessment methods
Teaching is by a variety of methods including lectures, seminars, self-paced learning and practicals. Assessment of taught modules is by coursework and examination. Coursework consists of a mixture of computer-based practicals, essays and small group projects. The compulsory Personal and Group Skills module combines attendance of seminars, group discussions and collective essay writing on topics selected for the seminars, as well as attendance at a series of workshops on transferable skills and career planning. The project is assessed separately.

Start Dates
October and January each year.

Read less

This MSc concentrates on the commercially important and rapidly expanding area of embedded digital systems. It is the ideal choice if you plan a career in embedded systems engineering, or for professional development if you already work in the engineering industry.

Embedded systems are at the heart of many engineering devices and you will investigate how they are designed and implemented in hardware and software. You will learn how to critically understand and apply circuit and system simulation techniques, with an emphasis on products that incorporate embedded technology. You will also understand the design of embedded systems, including microcontroller architectures and real-time embedded hardware operating systems.

The course has significant input from industry and as part of the course you will be given the chance to undertake a 6-month unpaid internship*. Whilst not compulsory, internships provide the opportunity to put the theory you’ve learned in the classroom into practice in the real world.

Routes of study:
The course is available to study via two routes:
- MSc Embedded Systems Design (with internship)
- MSc Embedded Systems Design (without internship)

Please note: *Internships are available to full-time students only. Internship places are limited. Students have the opportunity to work in a participating UK company or within a Research Centre at the University. You can also opt to study the course without an internship which will reduce your course length.

See the website http://courses.southwales.ac.uk/courses/1492-msc-embedded-systems-design-with-internship

What you will study

Modules include:
- Embedded Systems Design
- Designing with RTOS
- Digital Design with HDLs
- Research Methodology and Product Management
- Opto-Electronics Devices for Life Science and Measurement
- Applied Digital Signal Processing
- * Six month Internship*
- Msc Major Project (60 credits)

Learning and teaching methods

MSc Embedded Systems Design is delivered in three major blocks that offer an intensive but flexible learning pattern, with two entry opportunities for applicants each year in February and September. You will learn to use the latest computer-aided engineering tools and techniques for the design, manufacture and testing of electronic products. There are six taught modules and an 18-week major project. If you study part-time, you will study three modules per year.

The course is available to study via two main routes, you can opt to add further value to your studies by undertaking an internship or simply focus on building your academic knowledge through a on-campus study as detailed below:


MSc Embedded Systems Design (with internship):

- Delivery: Full-time only | Start dates: September and February
If you choose to undertake an internship, your course will be delivered in four major blocks that offer an intensive but flexible learning pattern. Six taught modules are completed during two teaching blocks featuring 12 contact hours per week. This is followed by 6 month period of internship, after which the student returns to undertake a 16-week major research project. Please note: Course length may vary dependent on your chosen start date.


MSc Embedded Systems Design (without internship):

- Delivery: Full-time and Part-time | Start dates: September and February
The study pathway available without internship is available full-time and part-time. The full-time route is delivered in three major blocks. Six taught modules are completed during two teaching blocks featuring 12 contact hours per week followed by a 16-week major research project. The full-time course duration is about 12 months, if you study part-time then you will complete the course in three years. Part-time study involves completing three modules in each of the first two years and a major research project in the final year. The use of block-mode delivery in this way allows flexible entry and exit, and also enables practising engineers to attend a single module as a short course.

Work Experience and Employment Prospects

Many industries need specialists in embedded systems design, and by the time you graduate, your skills and knowledge will be highly desired by employers. Careers are available in industrial and technology sectors such as embedded systems hardware or software development, telecommunication implementations, instrumentation, general real-time device applications, and signal processing development.

Internship

Internships are only available to students studying full-time: Following successful completion of six taught modules, you will be competitively selected to join participating UK companies or University Research Centres on a six-month period of unpaid work placement before returning to undertake your major research project. All students who have an offer for the MSc Embedded Systems Design (with internship) are guaranteed an internship either in industry or in a University Research Centre.

There are 10 internship places available. Students who wish to undertake an internship must apply for the MSc Embedded Systems Design (with internship). It is anticipated that there will be significant demand for this programme and applicants are advised to apply as soon as possible to avoid disappointment. Applications will be considered on a first come first served basis and the numbers of students offered a place on the programme with internship will be capped.

If the course is already full and we are unable to offer you a place on the Masters course with internship, we may be able to consider you for the standard MSc Embedded Systems Design (without internship) which is a shorter programme.

Assessment methods

Typically, each module will be assessed through coursework.

Read less

By studying MSc Computing Systems at a postgraduate level at Nottingham Trent University, you will learn the high-level skills necessary to pursue a career in software engineering, specifically for industrial and business systems.

The MSc in computing systems is a fast-track conversion course for those with no computing qualification but would like a career in the computing and IT industry.

This course aims to produce individuals who have the skills relevant to applied software engineering for computing systems in industry, business and research, and are able to hit the ground running in their chosen careers. On completing these courses, you should be able to use suitable programming languages and their development environments to produce new software solutions.

Modules

• Software engineering 1
• Systems analysis and design
• Mobile interactive systems
• Software engineering 2
• Engineering interactive applications
• Research methods
• Major project

COME VISIT US ON OUR NEXT OPEN DAY!

Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.

Read less

This MSc Computer Games Systems course develops the high-level skills required to create new computer games for the leisure and education industries. It gives students the chance to learn a variety of software engineering techniques for games, ranging from low-level programming languages for fast games to high-level and computer network environments for distributed games.

Coupled with the strength of our teaching and facilities, is the direct relevance of the course content. You will have the chance to learn a range of software engineering techniques for games, ranging from low-level programming languages for fast games to high-level and computer network environments for distributed games. This will enable you to build and develop your specialist knowledge in the area(s) of gaming that excite your interest.

The taught part of the course will give you the high quality academic knowledge in games prototyping, artificial intelligence and 3D algorithms that is now in demand within the global games industry.

Modules:

• 3D games algorithms
• Advanced software engineering
• Applied artificial intelligence
• Computer games development
• Major project
• Research methods
• Mobile interactive systems

COME VISIT US ON OUR NEXT OPEN DAY!

Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.

Read less

You will study at EPCC, the UK’s leading supercomputing centre. EPCC is the major provider of high performance computing (HPC) training in Europe with an international reputation for excellence in HPC education and research.

Our staff have a wealth of expertise across all areas of HPC, parallel programming technologies and data science.

This MSc programme has a strong practical focus and provide access to leading- edge HPC systems such as ARCHER, which is the UK’s largest, fastest and most powerful supercomputer, with more than 100,000 CPU cores.

HPC is the use of powerful processors, networks and parallel supercomputers to tackle problems that are very computationally or data-intensive. You will learn leading-edge HPC technologies and skills to exploit the full potential of the world’s largest supercomputers and multicore processors. This is a well-established programme that has been successful in training generations of specialists in parallel programming.

Programme structure

The MSc programme takes the form of two semesters of taught courses followed by a dissertation project.

Your studies will have a strong practical focus and you will have access to a wide range of HPC platforms and technologies. You will take seven compulsory courses, which provide a broad-based coverage of the fundamentals of HPC, parallel computing and data science. The option courses focus on specialist areas relevant to computational science. Assessment is by a combination of coursework and examination.

Taught courses

Compulsory courses:

• HPC Architectures (Semester 1)
• Message-Passing Programming (Semester 1)
• Programming Skills (Semester 1)
• Threaded Programming (Semester 1)
• Software Development (Semester 2)
• Project Preparation (Semester 2)
• HPC Ecosystem (Semester 2)

Optional courses:

• Fundamentals of Data Management (Semester 1)
• Parallel Numerical Algorithms (Semester 1)
• Parallel Programming Languages (Semester 1)
• Advanced Parallel Programming (Semester 2)
• Data Analytics with High Performance Computing (Semester 2)
• Parallel Design Patterns (Semester 2)
• Performance Programming (Semester 2)
• Courses from the School of Informatics, Mathematics or Physics (up to 30 credits)

Dissertation

After completing the taught courses, students work on a three-month individual project leading to a dissertation.

Dissertation projects may be either research-based or industry-based with an external organisation, with opportunities for placements in local companies.

Industry-based dissertation projects

Through our strong links with industry, we offer our students the opportunity to undertake their dissertation project with one of a wide range of local companies.

An industry-based dissertation project can give you the opportunity to enhance your skills and employability by tackling a real-world project, gaining workplace experience, exploring potential career paths and building relationships with local companies.

Career opportunities

Our graduates are employed across a range of commercial areas, for example software development, petroleum engineering, finance and HPC support. Others have gone on to PhD research in fields that use HPC technologies, including astrophysics, biology, chemistry, geosciences, informatics and materials science.

Read less

Your programme of study

If you are from a computing background or you have a degree and a lot of skills within computing already this programme is a great way to quickly advance your skills in a highly employable range of careers that show no signs of stopping. You learn all the most employable skills such as programming and web development, scripting and database design for the internet, IOT and cloud based software production, user centred design and agile practices and software engineering. All businesses are rapidly evolving to ensure that the latest thinking in website design and company databases fit together as much as possible. You could be building a great ecommerce site one day and problem solving user experience the next day with the scope of this degree.

Information Technology gives you a great range of skills if you are a natural problem solver, designer and you like a challenge. It offers you technical skills in various languages and it allows you to understand the human side at the receiving end of that technical work to give you a toolkit of experience which will make you highly sought after.

Courses listed for the programme

Semester 1

Systems Analysis and Design

Web Application and Development

Information and Security

Database Systems and Big Data

Semester 2

Human Computer Interaction

Advanced Web Application Development

Enterprise Computing and Business

Semester 3

Project in IT

Find out more detail by visiting the programme web page

https://www.abdn.ac.uk/study/postgraduate-taught/degree-programmes/133/information-technology/

Why study at Aberdeen?

• This programme gives you sufficient skills and knowledge to decide which areas you want to work in after graduating
• You learn skills which are in high demand and high growth internationally so you can work overseas
• You can align your IT skills to a particular vocational area you have already studied or you are interested in
• IT can be very well paid when you acquire expertise

Where you study

• Online
• 12 Months
• Full Time
• September or January start

International Student Fees 2017/2018

Find out about fees:

https://www.abdn.ac.uk/study/international/tuition-fees-and-living-costs-287.php

*Please be advised that some programmes have different tuition fees from those listed above and that some programmes also have additional costs.

Scholarships

View all funding options on our funding database via the programme page

https://www.abdn.ac.uk/study/postgraduate-taught/finance-funding-1599.php

https://www.abdn.ac.uk/funding/

Living in Aberdeen

Find out more about:

• Your Accommodation
• Campus Facilities
• Aberdeen City
• Student Support
• Clubs and Societies

Find out more about living in Aberdeen:

https://abdn.ac.uk/study/student-life

Living costs

https://www.abdn.ac.uk/study/international/finance.php

You may also be interested in:

https://www.abdn.ac.uk/study/postgraduate-taught/degree-programmes/1085/information-technology/

Read less

About the Course

This broad-ranging course concentrates on the latest tools and techniques of modern computer science. Covering object-orientated programming, computer systems and networking, database analysis and design and much more, you will be exposed to the most recent developments in both the theory and practice of modern computing.

The Computing MSc, Information Systems Management (ISM) MSc and Information technology (IT) MSc are very closely linked with a common first semester, giving you the option of changing between this courses up until the Christmas vacation. The course assumes no previous experience in computing and is ideally suited to graduates of other subjects who wish to add IT to their portfolio of skills. The most essential requirements are enthusiasm for the subject and an inquiring mind.

Reasons to study:

• Benefit from our Research Expertise
our internationally recognised Centre for Computing and Social Responsibility will have input into the course and will explore and allow you to understand the current research issues

• Dedicated Computer Science Laboratories
you will have access to our industry standard software used in e-commerce so that you develop relevant skills

• Industry placement opportunity
you can chose to undertake a year-long work placement, gaining valuable experience and skill giving you a head start in your career once you have finished the course

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, developing computing solutions to business problems

• Excellent graduate prospects
You will develop the skills you need to progress to roles such as systems analyst, programmer, software architect and research development project leader in global organisations like Hewlett Packard and Marks and Spencer

Course Structure

Modules

First Semester (October to January)

• Object-Orientated Programming
• Database Systems and Design
• Computer Systems and Networks
• Systems Analysis and Design

Second Semester (February to May)

• Research Methods, Professionalism and Ethics
• E-Commerce Software
• E-Commerce Systems
• Human Factors in Systems Design

Third Semester (June to September)

During the final semester you will work on your project/ dissertation, chosen by you and agreed by your project supervisor. Part-time students normally choose to work on their project over an entire academic year.

Optional Placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your dissertation.

Teaching and Assessment

The course can be studied either full-time over one year or part-time for two to six years, beginning in September each year (a January start date may also be available).

There will be two- or three-week vacations at Christmas and New Year (December/January) and Easter (March/April), and some students also take a brief break in June or July before completing their dissertation.

Teaching includes formal lectures, tutorials and labs. You will also be expected to undertake independent study and research to support your assignments and your dissertation. Assessment will be by various group and individual methods including exams, projects, presentations, written essays and reports.

You will normally be expected to attend a two-week induction to ensure that you are well prepared for the modules taught in the first semester. This course offers a degree of flexibility, and you may have the option to switch over to our Information Systems Management MSc after the first term (subject to approval).

Contact and learning hours

Full-time students will normally attend around 12 hours of timetabled taught sessions per week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation.

Academic Expertise

The Centre for Computing and Social Responsibility is internationally recognised for its applied research expertise. In a world where individuals, businesses and governments increasingly depend on information and communication technologies, this acclaimed research centre is looked to for authoritative advice on their social, organisational and ethical impacts. Our experts collaborate with a range of worldwide partners assessing implications and shaping codes of practice.

You will benefit from our history of more than 50 years of research and teaching in computing and technology, and the expertise of our academic staff.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Read less

About the course

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.

Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.

Reasons to Study

• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence

• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems

• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work

• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal

• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering

Course Structure

Modules

• Computational Intelligence Research Methods
• Artificial Intelligence (AI) Programming
• Mobile Robots
• Fuzzy Logic
• Artificial Neural Networks
• Evolutionary Computing
• Applied Computational Intelligence
• Intelligent Mobile Robots
• Individual Project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.

Teaching and Assessment

The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Read less

Provided by the School of Mathematics, this is a one year (full time) taught M.Sc. in High Performance Computing. The degree provides practical training in the emerging high performance computing technology sector.

The aim of the course is to train students in practical applications of high-performance technical computing in industry, finance and research. Course content includes computer architecture, software optimisation, parallel programming, classical simulation and stochastic modelling. Application areas include simulation of physical, chemical and biological systems, financial risk management, telecommunications performance modelling, optimisation and data mining. The course has a number of optional elements, allowing specialization in application areas.

The course includes a strong practical element. Students have unlimited access to a dedicated teaching computing laboratory, and access to the facilities of the Trinity College Centre for High- Performance Computing, which include large-scale parallel computers. Career opportunities include mathematical modeling, simulation and forecasting, database mining and resource management. The techniques covered during the year will allow students to work in advanced software development including parallel and concurrent software applications. High-performance technical computing methods are becoming increasingly widespread in research into mathematics, physics, chemistry and biotechnology, engineering and finance, providing a wide range of options for the student wishing to go on to further research.

Read less

The MSc in Computational and Software Techniques in Engineering, with its blend of skills-based and subject specific material, has the fundamental objective of equipping you with the generic hands-on skills and up-to-date knowledge adaptable to the wide variety of applications that this field addresses. The Computational and Software Techniques in Engineering masters produces well qualified graduates, ready to take on professional roles without additional training on the job. Due to this, our graduates are in high demand with industry leaders visiting Cranfield to showcase their graduate roles.

Read less

This Masters in Computer Systems Engineering exposes students to state-of-the-art miniaturised and mobile computer systems and smart device technology, allowing them to acquire the complementary hardware and software knowledge and skills required for understanding and designing such systems.

Why this programme

◾You will be taught jointly by the Schools of Engineering and Computing Science. You will benefit from their combined resources and expertise and from an industry-focused curriculum.
◾Electronic and Electrical Engineering at the University of Glasgow is consistently highly ranked recently achieving 1st in Scotland and 4th in the UK (Complete University Guide 2017).
◾If you are a computer engineering graduate, this programme will enhance your knowledge; if you are an electronic engineering graduate you can focus on developing your software skills; or if you are computer science graduate you can focus on developing your hardware skills.
◾With a 92% overall student satisfaction in the National Student Survey 2015, Electronic and Electrical Engineering at the School of Engineering combines both teaching excellence and a supportive learning environment.

Programme structure

Modes of delivery of the MSc in Computer Systems Engineering include lectures, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Core courses
◾Digital signal processing
◾Either networked systems or computer communications
◾Human–computer interaction
◾Software and requirements engineering
◾MSc project.

Optional courses typically include
◾Advanced operating systems
◾Artificial intelligence
◾Computer architecture
◾Digital communications 4
◾Human-centred security
◾Information retrieval
◾Internet technology
◾Microwave and millimetre wave circuit design
◾Optical communications
◾Real time embedded programming
◾Safety critical systems.

Projects

◾In addition to taught work and practical assignments you will also complete a joint research project worth 60 credits in one of the state-of-the-art laboratories in the schools.
◾This extended project is an integral part of the MSc programme: many of these are linked to industry while others are related to research in either of the participating Schools.
◾The project is an important part of your MSc where you can apply your newly learned skills and show to future employers that you have been working on cutting edge projects relevant to the industry.
◾You can choose a topic from a list of MSc projects in Computer Systems Engineering. Alternatively, should you have your own idea for a project, department members are always open to discussion of topics.

Example projects

Examples of projects can be found online

*Posters shown are for illustrative purposes

Industry links and employability

◾As computer systems have reduced in size, and are increasingly mobile with more complex functionalities, they are now a fundamental component of smart device technology.
◾This postgraduate programme is particularly suited to acquiring the complementary hardware and software knowledge and skills required for understanding and designing such systems.
◾The programme makes use of the combined resources and complementary expertise of the engineering and computing science staff to deliver a curriculum which is relevant to the needs of industry.
◾The School of Computing Science has extensive contacts with industrial partners who contribute to several of their taught courses, through active teaching, curriculum development, and panel discussion. Recent contributions in Computer Systems Engineering include: IBM, J.P. Morgan, Amazon, Adobe and Red Hat.
◾During the programme students have an opportunity to develop and practice relevant professional and transferrable skills, and to meet and learn from employers about working in the computer/software industry.
◾The Computer Systems Engineering MSc programme also provides excellent preparation for those wanting to pursue a PhD in a similar research field.

Career prospects

Career opportunities include positions in software development, chip design, embedded system design, telecommunications, video systems, automation and control, aerospace, development of PC peripherals and FPGA programming, defence and services for the heavy industries, for example generator and industrial motor control systems, etc.

Read less

Study the 3D Design for Virtual Environments masters course and greatly advance your skills, knowledge and understanding within the field of 3D visualisation and computer based animation.

You will master the techniques seen in current 3D modelling and animation, digital video production and digital media integration as well as further developing your existing skills and style.

This course also has a part time option. For more information, see the web-page: http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P00722-1FTA-1718/3D_Design_for_Virtual_Environments?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

Programme Description

With the increased acceptance of 3D visualisation and animation in everyday use in areas as diverse as computer games development, film and television special effects, online virtual world development, architecture, product design, industrial design and marketing, the MA 3D Design for Virtual Environments is designed to enable you to develop advanced skills, knowledge and understanding within the field of 3D visualisation and computer based animation.

The programme is oriented towards current industrial needs, technology and practice and provides the key skills required to develop both practical and theoretical proficiency in any specialist area of 3D animation. The programme addresses the demand for visual designers with the creative vision and technical skills needed to support core design skill sets that exploit the animation and visualisation processes.

Working in a predominately digital environment, you will also explore the relationships between the use of video and animation materials within digital video, multimedia and web publishing. This allows for the experimentation with interactive media types and techniques in order to enhance understanding, learning and product conceptualisation.

The programme assumes no prior knowledge of 3D design; it provides the opportunity to add specialist 3D expertise in 3D modelling and animation, digital video production and digital media integration techniques to your existing skill set.

Why Choose This Programme?

The course assumes no prior knowledge of 3D design which will enable students from other disciplines to take this opportunity to add specialist 3D expertise in three dimensional modelling and animation, digital video production and digital media integration techniques to their existing skill set. Students will gain knowledge and experience of the different production phases of a digital media project. Pre production skills such as planning, storyboarding and developing conceptualisation skills, production skills in 3D modelling, animation, lighting and rendering using advanced 3D applications such as 3DS Max and Maya, post production skills in video editing, integration of 2D and 3D visuals and DVD production will all be covered.

Assessment

Modules are assessed by both examination and coursework (sometimes known as continual assessment) depending on the requirements of individual modules.

Career Opportunities

3D is becoming increasingly important for graduates pursuing careers in advertising design, communication design, graphic design, book design, typographic design, illustration and website design.

Read less

You will study at EPCC, the UK’s leading supercomputing centre. EPCC is the major provider of high performance computing (HPC) training in Europe with an international reputation for excellence in HPC education and research.

Our staff have a wealth of expertise across all areas of HPC, parallel programming technologies and data science.

This MSc programme has a strong practical focus and provide access to leading- edge HPC systems such as ARCHER, which is the UK’s largest, fastest and most powerful supercomputer, with more than 100,000 CPU cores.

Data science involves the manipulation, processing and analysis of data to extract knowledge, and HPC provides the power that underpins it.

You will learn the multidisciplinary skills and knowledge in both HPC and data science to unlock the knowledge contained in the increasingly large, complex and challenging data sets that are now generated across many areas of science and business.

Programme structure

This MSc programme takes the form of two semesters of taught courses followed by a dissertation project.

Your studies will have a strong practical focus and you will have access to a wide range of HPC platforms and technologies. You will take seven compulsory courses, which provide a broad-based coverage of the fundamentals of HPC, parallel computing and data science. The option courses focus on specialist areas relevant to computational science. Assessment is by a combination of coursework and examination.

Taught courses

Compulsory courses:

• Fundamentals of Data Management (Semester 1)
• Message-Passing Programming (Semester 1)
• Programming Skills (Semester 1)
• Threaded Programming (Semester 1)
• Data Analytics with High Performance Computing (Semester 2)
• Software Development (Semester 2)
• Project Preparation (Semester 2)

Optional courses:

• HPC Architectures (Semester 1)
• Parallel Numerical Algorithms (Semester 1)
• Parallel Programming Languages (Semester 1)
• Advanced Parallel Programming (Semester 2)
• HPC Ecosystem (Semester 2)
• Parallel Design Patterns (Semester 2)
• Performance Programming (Semester 2)
• Courses from the School of Informatics, Mathematics or Physics (up to 30 credits)

Dissertation

After completing the taught courses, students work on a three-month individual project leading to a dissertation. Dissertation projects may be either research-based or industry-based with an external organisation, with opportunities for placements in local companies.

Industry-based dissertation projects

Through our strong links with industry, we offer our students the opportunity to undertake their dissertation project with one of a wide range of local companies.

An industry-based dissertation project can give you the opportunity to enhance your skills and employability by tackling a real-world project, gaining workplace experience, exploring potential career paths and building relationships with local companies.

Career opportunities

Our graduates are employed across a range of commercial areas, for example software development, petroleum engineering, finance and HPC support. Others have gone on to PhD research in fields that use HPC technologies, including astrophysics, biology, chemistry, geosciences, informatics and materials science.

Read less