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Masters Degrees in Computer Architectures, United Kingdom

We have 22 Masters Degrees in Computer Architectures, United Kingdom

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

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.

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.

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.



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Bristol, and the surrounding area, hosts a thriving and world-leading semiconductor design industry. Read more
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.

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Course aims. Today, software is becoming ever more complex, developed with very short time to market, and required to cope with changing requirements. Read more
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.

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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. Read more

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.



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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. Read more

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

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:

Find out more from the programme page

*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 and the latest postgraduate opportunities

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 and living costs 

You may be interested in:

You may also be interested in:

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



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This broad-ranging course concentrates on the latest tools and techniques of modern computer science. Read more

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

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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. Read more

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

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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. Read more
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.

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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. Read more
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.

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3D visualisation and animation play a role in many areas, and the popularity of these media just keeps growing. Read more

3D visualisation and animation play a role in many areas, and the popularity of these media just keeps growing. Digital animation provides the eye-catching special effects in the 21st century's favourite films and television shows; 3D design is also essential to everyday work in everything from computer games development, online virtual world development and industrial design to marketing, product design and architecture.

GCU's programme in 3D Design for Virtual Environments will help you develop the skills to thrive in a successful career as a visual designer. The programme is practical and career-focused, oriented towards current industry needs, technology and practice. No prior knowledge of 3D design is required.

The curriculum will help you build your creative vision and technical skills as a 3D designer.

  • Explore the use of video and animation in digital video, multimedia and web publishing
  • Experiment with interactive media types and techniques
  • Sharpen your skills in creative thinking and generating ideas
  • Master digital video production and digital media integration techniques
  • Gain pre-production skills like planning, storyboarding and conceptualising
  • Practise production skills like 3D modelling, animation, lighting and rendering
  • Develop post-production skills in video editing and integrating 2D and 2D visuals
  • Work with cutting-edge computer applications and digital environments

At GCU, you'll join a friendly community of smart, talented people who love the work they do. People who love to take on a creative challenge and are just as happy to collaborate as they are to compete. People who look for ways to support the common good and make the world a more beautiful, welcoming place.

Our mission is producing graduates who have the skills to make a positive impact with their work - and the perspective to understand why it matters.

What you will study

3D design at postgraduate level includes 3D modelling, animation, video and motion graphics. Modules are designed to meet current industrial needs, technology and practice.

The programme offers four specialist pathways; Virtual Environments; Architecture; Computer Games and Visual Effects.

There are six taught modules, each module is taught over a twelve week period. Each week consists offormal lectures, lab work, tutorials and private study. On satisfactory completion of the modules,you proceed to a major project and submit a final dissertation for examination. This is completed overa three month period following the taught modules.

Digital Media Technology and Development

An introduction to digital media hardware and software tools, and methods of production and organisation. The student will learn 3D visualisation and animation techniques using the latest 3D software applications.

Digital Video and Motion Graphics

Develop skills and practical knowledge of digital video/film productiontechniques and the association of digital motion graphics media production.Application of creative technique will cover elective areas such as short filmproduction, documentary production, 3D animation composition, titlesequence generation and abstract motion graphics effects.

Digital Media Publishing and Commercialisation

Progress the work of the Digital Media Technology and Development module of Trimester A. The intention is to provide a full understanding of the subject material relevant to the development of a broadcast level digital media project.

Digital Portfolio and Industrial Production Techniques

This module will provide practical knowledge of digital media publishing techniques suitable for the production of portfolio media. Students will investigateand demonstrate knowledge of a range of digital media tools and techniques for the promotion of skills within a portfoliopresentation. Critical analysis of various types of digital media delivery platforms,copyright issues, and digital marketingstrategies will be covered. This modulewill also provide an overview of how 3Dmodelling and animation fits within the context of the particular industry sectorwhich is relevant to the students areaof specialisation.

Research and Project Methods

This module aims to provide students with the background knowledge and skills that, in combination with the technical skills acquired in other taught modules, will enable them to carry an MSc dissertation through to a successful conclusion. Students will study all aspects of the processes underlying both capstone projects and research projects, and will relate these to available tools, ethical considerations and professional issues.

MSc Project

The Project acts as a vehicle for extendingthe knowledge and understanding of thestudent and the technical community insome specialist technical area. It serves,through its length, complexity andrigour, as a suitable vehicle for extending,in the student, a range of personal,interpersonal and communication skills.In addition, it serves to develop andextend a range of high-level thinkingskills, including analysing and synthesisingskills and affords the opportunity for thestudent to demonstrate initiative andcreativity in a major piece of technologicalwork. The student has the option of awritten dissertation or a dissertationby film.

Assessment methods

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

Graduate prospects

As a graduate of the 3D Design for Virtual Environments programme, you'll bring a specialised skill set and needed expertise to any design-related role. A background in 3D design is especially important for a design career in advertising, communication, publishing or online marketing. You'll be a competitive candidate for these design roles and more.



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This technical MRes Electronic Systems Masters course will develop your research skills in electronic systems, enriching your prior learning and giving you the tools to succeed in your chosen specialism. Read more

This technical MRes Electronic Systems Masters course will develop your research skills in electronic systems, enriching your prior learning and giving you the tools to succeed in your chosen specialism. The structure of this course allows you to choose modules and combine material from any of our taught master's courses in the School of Science and Technology and deliver an extended research project over a one-year period.

You will undertake a Research Methods module at the beginning of this course, which is designed to develop knowledge, skills and experience that will provide you with a firm foundation for your main research project. You then have the option to choose two further modules in order to develop specific technical knowledge relating to your research project. These can be selected from the full range of modules delivered across our computing and technology taught Master's courses.

Modules

  • Research Methods
  • Major Project
  • Digital Control
  • Robotics and Cybernetics
  • Applied Artificial Intelligence
  • Software Engineering
  • Embedded Systems
  • Group Design Project
  • Computer Security
  • Wireless Communications
  • Mobile Networks

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.



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The Department of Computer Science at The University of Liverpool is delighted to announce the opportunity for Home and European students to receive industrial sponsorship to cover tuition fees for this programme. Read more
The Department of Computer Science at The University of Liverpool is delighted to announce the opportunity for Home and European students to receive industrial sponsorship to cover tuition fees for this programme. For more information visit our Postgraduate Funding Tool or contact Dr Martin Gairing.

The MSc in Big Data and High Performance Computing provides students with an in-depth understanding of big data analysis and processing using high performance computing technology. Run in conjuction with the STFC Hartree Centre, this MSc programme enables students to gain a specialist qualification in an area of computing that is in great demand worldwide.

Big data is commonly described as data that is so large that it cannot be readily processed using standard techniques. Our current global ability to collect data is such that “big data” sets are becoming common-place.

The most obvious example of this is the exponential growth of the World Wide Web; however there are many public and private enterprises where the analysis of large-scale data sets is critical to growth. Although significant computer power exists, the necessary skills-base is lagging behind the technology.

There is an employment gap looming in the field of big data, especially in the context of the skills required with respect to the application of High Performance Computing (HPC) capabilities to address big data problems.

The MSc in Big Data and High Performance Computing is designed to address this anticipated skills gap and provide those completing the programme with the necessary abilities (abilities which will be highly desirable within the employment market) to address big data centric problems in the context of HPC.

The programme has been designed and operates in close collaboration with the Hartree High Performance Computing Centre and focuses on the practical application of Big Data and HPC technology.

The Hartree centre is underpinned by £37.5 million of Government investment and hosts the UK’s premier supercomputing environment. This partnership provides a unique and unrivalled MSc programme and ensures that students completing the programme have a ready route into employment, facilitated by commercial contacts provided as part of the individual project.

You may also be interested in our Big Data Management MSc, Geographic Data Science MSc and Risk and Uncertainty MSc. For more information visit http://www.liverpool.ac.uk/study/postgraduate

The programme is organised as two taught semesters followed by an individual project undertaken over either the summer or, if desired, during the following year of study. Within each semester students study a number of modules adding up to 60 credits per semester (120 in total). This will be followed by a project dissertation, also 60 credits, making an overall total of 180 credits.

Why Computer Science?

Excellent partnerships

The MSc in Big Data and High Performance Computing programme has been developed, and operates, in close collaboration with the STFC Hartree Centre at Daresbury. The Hartree centre is underpinned by £37.5 million off Government investment and hosts the UKs premier supercomputing environment. The Department of Computer Science at Liverpool provides for a wide range of Big data, HPC and related skills and experience. This partnership means that this programme is unique and unrivalled. The partnership also ensures that students completing the programme have a ready route into employment facilitated by commercial contacts provided as part of the individual project element of the programme, which will in most cases is conducted with respect to real commercial requirements.

State of the art teaching and research

MSc Students who pursue their postgraduate study within the Department of Computer Science at the University of Liverpool will be an integral part of a department that is internationally renowned for its advanced research and teaching. The Department came seventh nationally in the 2008 research assessment exercise.

The Department of Computer Science is organised into four main research groups:

Agents
Algorithmics
Logic and Computation
Economics and Computation
Together these groups provide a critical mass of expertise equal to the most complex challenges in Computer Science, within a setting that offers world-class research facilities and support.

Teaching

You will be taught by lecturers who are internationally known for their research. The MSc in Big Data and High Performance Computing is offered full-time on-campus.

The taught components of the programme offer a choice of contemporary computing topics, a strong theoretical basis and the opportunity to gain sound practical and critical analysis skills. The programme can be taken in the form of a single year (12 months) of study with the individual project being undertaken over the summer months, or alternatively the project can be undertaken in the following academic year.

The computing resources include an extensive integrated network of workstations running the Linux operating system and the X-Windows graphical interface, together with a large number of PCs running Microsoft Windows. Staff and students have easy access to high quality laser printing facilities and a range of specialist software.

Career prospects

The MSc in Big Data and High Performance Computing (HPC) is specifically designed to fill a "skills gap" in the employment market. More specifically it is designed to provide students with the necessary skills to allow them to apply Big Data and HPC concepts to real problems. The programme has been structured to facilitate the practical application of this "cutting-edge" technology to real-world problems. The intention is that at the end of the programme students will be able to apply the knowledge gained on the programme specifically to real-world big data and HPC problems. However, the programme is also designed to furnish students with a set of transferable skills that are of particular relevance across the IT industry.

The programme has been developed, and is delivered, in close collaboration with the Hartree Centre at Daresbury which operates the UK's largest supercomputer (capable of a thousand trillion calculations per second). Hartree have close links with industry, and provide assistance with respect to the group and final individual projects, the latter conducted in partnership with commercial and/or non-commercial organisations.

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The MSc Digital Architecture and Robotic Construction focuses on digital design methods and construction technologies in Architecture, Engineering and Design. Read more
The MSc Digital Architecture and Robotic Construction focuses on digital design methods and construction technologies in Architecture, Engineering and Design. It provides a scientific and practical foundation and gives an overview of latest developments in Advanced Modelling, Computational Design and Robotic Construction.

Digital technologies have altered the field of architecture and the architectural profession significantly – from design to production. In this context, the course combines the professional quality of an architectural qualification with the theory and practice behind the latest digital developments in the field.

You'll use computer-aided methods for design and study the construction and fabrication process in-depth. As part of the School of the Built Environment and Architecture, you'll work in a transdisciplinary environment where knowledge is shared. Architecture students are also able to work in our Architecture Design Studio, a dedicated studio space with views across the London landscape.

You'll be able to exploit LSBU's extensive industry connections during the course and your dissertation will be closely linked to practice. You'll be encouraged to work together with partners; an engineering company or another academic School within LSBU.

Visit the Digital Architecture and Robotics lab (DARLAB) website, where you can find more information about the facilities and the latest projects taking place

http://www.dar-lab.net/

Modules

Integrative technologies and robotic manufacturing
Advanced digital design techniques
Design project material behaviour
Design project adaptive systems and structures
Technology for building systems
Design research architectural project
Dissertation

Modules will be assessed by a mix of coursework and examinations.

Teaching and learning

The academic team are qualified experts from all over the world, with experience in working with avant-garde technologies to gain the best results in architecture and design. In addition, all are actively involved in research and consultancy, which enables staff to draw on the latest industry developments in both lectures and practical work. You'll enjoy guest lectures from world experts.

The course makes extensive use of DARLAB (Digital Architectural Robotics lab), a research platform in architectural education that advances experimentation and cross-discipline collaboration among professors, students and industry partners to expand the boundaries of architectural practice. The modules' contents are oriented toward integrated learning assignments. The course is delivered through lectures, seminars, projects and internships.

You'll be supported throughout your final project by your tutors and will have access to a range of e-learning materials.

Currently 50% of our full-time student cohort is from overseas. This allows our students to network across America, India, the Middle-East, Australia and Europe.

Placements

Staff use their professional connections to help students find work experience and job opportunities on graduation. All students will be involved in the construction of a large-scale pavilion in central London.

Professional links

The Digital Architecture and Robotics laboratory (DARLAB) partners with industry to provide solutions to their business problems and challenges that they currently face or expect to arise in the near future. We offer businesses a number of avenues for accessing our research expertise. We also undertake research projects for small and big businesses alike at competitive rates and where speed and confidentially are key requirements.

Partners Include:

• Hiteco: designers and manufacturers of high-tech machine components for machining wood, light alloys, plastic and composite materials.
• QDesign: a team of experts in engineering sciences. Their solutions offer a wide range of robotics plants applications and continuous software development.
• SCM Group: company world leader in the production of woodworking machinery and systems.
• CIMsystem: a leading provider of CAD/CAM technology and technological solutions with a worldwide technical and sales partner network.
• HAL: a Grasshopper plugin for industrial robots programming supporting ABB, KUKA and Universal Robots machines. Allows to simulate, program, control and monitor robotic cells.
• KUKA: pioneer in robotics and automation technology, one of the leading manufacturers of robotic systems worldwide.

Employability

The Master's program opens up various possibilities for professional development. You could go on to work in the area of architecture, building construction, engineering, interior or product design. You could also work as a specialist or consultant in the field of computational design and robotic construction.

The course could also lead on to a PhD or employment in engineering research.

LSBU Employability Services

LSBU is committed to supporting you develop your employability and succeed in getting a job after you have graduated. Your qualification will certainly help, but in a competitive market you also need to work on your employability, and on your career search. Our Employability Service will support you in developing your skills, finding a job, interview techniques, work experience or an internship, and will help you assess what you need to do to get the job you want at the end of your course. LSBU offers a comprehensive Employability Service, with a range of initiatives to complement your studies, including:

• Direct engagement from employers who come in to interview and talk to students
• Job Shop and on-campus recruitment agencies to help your job search
• Mentoring and work shadowing schemes.

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Test course. This course is here for testing purposes only, please ignore. . Read more

Test course

This course is here for testing purposes only, please ignore. 



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The precise topic of the student's study will be developed with the thesis supervisor and will be subject to approval by the institute. Read more

About the course

The precise topic of the student's study will be developed with the thesis supervisor and will be subject to approval by the institute. Students on the course will benefit from the Researcher Development Programme at the University. IRAC research degree are characterised by intellectual rigour and cutting-edge scholarship. They are designed to nurture a passion for inquiry and to provide you with the tools to manage intellectual challenges with confidence and creativity.

Key features

-We have faculty members from many countries who have an international reputation for research excellence in many fields. They have built collaborations in research across national borders and disciplines

Career opportunities

IRAC offers a wide range of graduate programmes catering for a variety of interests. These programmes offer excellent opportunities for students to further develop their potential as intellectual leaders for a wide range of career paths.

The University welcomes research degree applications in the following areas:

-Artificial Intelligence and robotics
-Computer graphics and visualisation
-Computer science
-Distributed technologies
-Electronic engineering
-Health informatics
-Imaging, photonics and sensors
-Information systems
-Software engineering
-Wireless communications
-Cyberstalking

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