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Computer Science×

Masters Degrees in Computer Architectures

We have 37 Masters Degrees in Computer Architectures

Masters degrees in Computer Architectures equip postgraduates with advanced knowledge of the methods to analyse the function, organisation and implementation of computer systems.

Taught MSc degrees are typical for this field, though research oriented MRes and MPhil programmes may also be available at some institutions. Entry requirements normally include a suitable undergraduate degree, such as Computer Science or Systems Engineering.

Why study a Masters in Computer Architectures?

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The. MSc Computer Science. is an advanced programme for graduates and professionals. It focuses on the latest techniques and technologies, teaching you how to apply these to complex contemporary problems across the breadth of society. Read more

The MSc Computer Science is an advanced programme for graduates and professionals. It focuses on the latest techniques and technologies, teaching you how to apply these to complex contemporary problems across the breadth of society.

You will be able to engage with the latest developments from a range of Computer Science topics with leading academics in the field. Course content draws directly upon our particular research strengths in artificial intelligence, machine learning, data science, high performance computing and networks, and cyber-security.

This MSc is career-focused, with an emphasis on postgraduate training. You will develop a wide range of important skills such as team-working, coding, independent research and problem solving. This course is particularly suited to those looking to continue in academia or use their expertise commercially in any sector.

Modules

Constituent modules and pathways may be updated, deleted or replaced in future years as a consequence of programme development. Details at any time may be obtained from the programme website.

The compulsory modules can include;

  • Group development project
  • Advanced computer science project

Optional modules can include;

  • Logic, ontology and knowledge representation
  • Nature-inspired computation
  • Research methodology
  • Machine learning and statistics
  • Evolutionary computation and optimisation
  • Computer modelling and simulation
  • Computer vision
  • From data to decisions
  • Data in business and society
  • High performance computing and data architectures
  • Social networks and text analysis
  • Advanced machine learning and statistics
  • M-level modules in mathematics
  • ECM34xx modules in Computer Science

Assessment method

Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.



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MSc Computer Science with Business. combines core Computer Science modules with modules in Management, Strategy, Marketing and Accounting. Read more

MSc Computer Science with Business combines core Computer Science modules with modules in Management, Strategy, Marketing and Accounting. This course is taught in partnership between the College of Engineering, Mathematics and Physical Sciences and the University of Exeter Business School. This blend of business and science is designed for students wanting management or leadership roles working with data.

You will be able to engage with the latest developments from a range of Computer Science topics with leading academics in the field. Course content draws directly upon our particular research strengths in artificial intelligence, machine learning, data science, high performance computing and networks, and cyber-security.

This MSc is career-focused, with an emphasis on postgraduate training. You will develop a wide range of important skills such as team-working, coding, independent research and problem solving. This course is suited to those looking to use their expertise commercially in any sector, particularly in management or leadership roles.

Your project, which forms a major part of the MSc, will maintain a business focus as you explore data science in a commercial environment.

Modules

Constituent modules and pathways may be updated, deleted or replaced in future years as a consequence of programme development. Details at any time may be obtained from the programme website.

The compulsory modules can include;

  • Group development project
  • Computer science business project

Optional modules can include;

  • Managing operations
  • Strategic innovation management
  • Strategy
  • Marketing Strategy
  • Accounting for international managers
  • Logic, ontology and knowledge representation
  • Nature-inspired computation
  • Research methodology
  • Machine learning and statistics
  • Evolutionary computation and optimisation
  • Computer modelling and simulation
  • Computer vision
  • From data to decisions
  • Data in business and society
  • High performance computing and data architectures
  • Social networks and text analysis
  • Advanced machine learning and statistics
  • M-level modules in mathematics

Assessment method

Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.



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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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MSc Data Science with Business combines core Data Science modules, taken from . MSc Data Science. , with modules in Management, Strategy, Marketing and Accounting. Read more

MSc Data Science with Business combines core Data Science modules, taken from MSc Data Science, with modules in Management, Strategy, Marketing and Accounting. This course is taught in partnership between the College of Engineering, Mathematics and Physical Sciences and the University of Exeter Business School. This blend of business and science is designed for students wanting management or leadership roles working with data.

Teaching, taking place over 12 months, covers the fundamental mathematical and computational techniques used to deliver insights and understand phenomena extracted from data sources. Building upon your existing coding skills you will handle complex data sets, learning multiple methods of analysis and efficient approaches to visualisation and presentation. In addition, you will study optional modules on subjects such as governance and ethics, social networks, text analysis and computer vision.

Your project, which forms a major part of the MSc, will maintain a business focus as you explore data science in a commercial environment.

Modules

Constituent modules and pathways may be updated, deleted or replaced in future years as a consequence of programme development. Details at any time may be obtained from the programme website.

The compulsory modules can include;

  • Introduction to data science
  • Fundamentals of data science
  • Data Science research project
  • Data in business and society
  • From data to decisions
  • Computer science business project

Optional modules can include;

  • Managing operations
  • Strategic innovation management
  • Strategy
  • Marketing strategy
  • Accounting for international managers
  • Machine learning and statistics
  • Research methodolgy
  • Evolutionary computation and optimisation
  • Computer modelling and simulation
  • Computer vision
  • High performance computing and data architectures
  • Social networks and text analysis
  • Data governance and ethics

Learning and teaching

Teaching is mainly delivered by lectures, workshops and online materials. Each module references core and supplementary texts, or material recommended by module deliverers, which provide in-depth coverage of the subject and go beyond the lectures.

We believe every student benefits from being taught by experts active in research and practice. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will discuss the very latest ideas, research discoveries and new technologies, becoming actively involved in a research project yourself.

We aim to provide a supportive environment where students and staff work together in an informal and friendly atmosphere. The department has a student-focused approach to teaching, whereby all members of staff deal with questions on an individual basis. We operate an open door policy, so it is easy to consult individual members of staff or to fix appointments with them via email. As a friendly group of staff, you will get to know us well during your time here.

The assessment strategy for each module is explicitly stated in the full module descriptions given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills. Assessment methods include essays, closed book tests, exercises in problem solving, use of the web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.



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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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MSc Data Science. is an inter-disciplinary course aimed at students wishing to work in data science – a field with almost limitless career potential. Read more

MSc Data Science is an inter-disciplinary course aimed at students wishing to work in data science – a field with almost limitless career potential. Teaching covers the fundamental mathematical and computational techniques used to deliver insights and understand phenomena extracted from data sources. Building upon your existing coding skills you will handle complex data sets, learning multiple methods of analysis and efficient approaches to visualisation and presentation.

As well as specific applications including network analysis, text analysis and machine vision you will study social contexts, governance and ethical considerations.

Your project allows you to develop skills in an area of interest, pursuing your ideas while guided by an academic supervisor.

Modules

Constituent modules and pathways may be updated, deleted or replaced in future years as a consequence of programme development. Details at any time may be obtained from the programme website.

The compulsory modules can include;

  • Introduction to data science
  • Fundamentals of data science
  • Data Science research project
  • Data in business and society
  • From data to decisions
  • Machine learning and statistics

Optional modules can include;

  • Research methodolgy
  • Evolutionary computation and optimisation
  • Computer modelling and simulation
  • Computer vision
  • High performance computing and data architectures
  • Social networks and text analysis
  • Data governance and ethics

Assessment method

Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.



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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

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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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. Read more
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.

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Engineering software development is one of the key areas in the European information technology sector. It is a fast moving subject of crucial importance to industry and forms the basis for a wide and ever growing variety of applications. Read more

Engineering software development is one of the key areas in the European information technology sector. It is a fast moving subject of crucial importance to industry and forms the basis for a wide and ever growing variety of applications.

This course 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.

Choose from three specialist options:

Who is it for?

If you intend to make a career in software development, whether it is in the data centre, on the desktop or in the rapidly expanding mobile application space, you need to have a strong basis in software engineering. The MSc in Computational and Software Techniques in Engineering is unique in that it combines software engineering with high performance computing, giving you the tools and techniques that employers are looking for and an advantage in the job market.

Why this course?

This course 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.

In addition to the software/computational topics, we deliver a core module entitled Management for Technology, which focuses on those aspects of management which will enable you to fulfil a wider role in an organisation more effectively.

We are very well located for visiting part-time students from all over the world, and offers a range of library and support facilities to support your studies. This enables students from all over the world to complete this qualification whilst balancing work/life commitments.This Msc programme benefits from a wide range of cultural backgrounds which significantly enhances the learning experience for both staff and students.

Informed by Industry

The course is directed by an industrial advisory panel who meet twice a year to ensure that it provides the right mix of hands-on skills and up-to-date knowledge suitable for to the wide variety of applications that this field addresses.

A number of members also attend the annual student thesis presentations which take place at the end of July, a month or so before the end of the course. This provides a good opportunity for students to meet key employers.

Course details

You will complete four compulsory modules followed by specialist modules from your selected MSc option. In addition to the taught component, you will complete a group project and an individual research project.

Group project

The group design project is intended to provide you with invaluable experience of delivering a project within an industry structured team. The project allows you to develop a range of skills including learning how to establish team member roles and responsibilities, project management, delivering technical presentations and gaining experience of working in teams that include members with a variety of expertise and often with members who are based remotely.

Part-time students are encouraged to participate in a group project as it provides a wealth of learning opportunities. However, an option of an individual dissertation is available if agreed with the Course Director.

Group Project subject areas include:

  • Applications of Computational Engineering Design
  • Applications of DSP and Computer Vision
  • Applications in High-End Computing.

Individual project

The individual research project allows you to delve deeper into an area of specific interest. It is very common for industrial partners to put forward real world problems or areas of development as potential research thesis topics. For part-time students it is common that their research thesis is undertaken in collaboration with their place of work.

Assessment

Taught modules 40%, Group project 10%, Individual research project 50%

Your career

The MSc in Computational and Software Techniques in Engineering is designed to equip you with the skills required to pursue a successful career working in the UK and overseas. This course attracts enquiries from companies in the rapidly expanding engineering IT industry sector across the world who wish to recruit high quality graduates.

This course is meeting the industry demand for personnel with expertise in engineering software development and for those who have strong technical programming skills in industry standard languages and tools.

Some of our graduates go onto PhD degrees. Project topics are most often supplied by individual companies on in-company problems with a view to employment after graduation – an approach that is being actively encouraged by a growing number of industries.



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Aim. Our MSc in Applied Cyber Security aims to develop the next generation of industry leaders and address the shortage of cyber security professionals globally. Read more

Aim

Our MSc in Applied Cyber Security aims to develop the next generation of industry leaders and address the shortage of cyber security professionals globally. The emphasis of the MSc is to provide graduates with a comprehensive understanding of the cyber security challenges facing industry and society, today and in the future, and equipping them with the skills necessary to address those challenges.

This taught programme provides a strong foundational education in the core areas of cyber security and offers practical training in key software tools and programs. Applied practical skills will be developed further in specialised projects exploring leading edge issues in cyber security research.

The MSc offers students a syllabus informed by the world-class research in the areas of data, network, media and physical security, being undertaken at Queen's University Belfast's Centre for Secure Information Technologies (CSIT).

CSIT is a GCHQ accredited Academic Centre of Excellence in Cyber Security Research and is the UK's largest university research lab in this field. CSIT is fast developing a reputation as a global innovation hub for cyber security and is influenced throughout by its strong history of commercial engagement with world leading companies including Infosys, Cisco, IBM, Thales, BAE Systems, McAfee, Roke, and Altera.

Programme Content

The MSc in Cyber Security is available in two options, lasting either 1 or 2 years:

The 1-year MSc consists of six taught modules (120 CATS points) and a 4-5 months practical project of a research nature/work placement (60 CATS points).

The 2-year MSc consists of six taught modules (120 CATS points) and a 12 months practical project of a research nature/work placement (60 CATS points).

Six compulsory modules:

• Applied Cryptography

• Computer Forensics

• Network Security and Monitoring

• Software Assurance

• Malware

• Ethical & Legal Issues in Cyber Security

Assessment

Comprises written examination and coursework/lab work in six modules; and a dissertation on your research project (180 CATS points total).

Opportunities for Careers

Strong Industry Engagement

A key differentiator of our MSc programme will be the opportunity to closely engage with CSIT industry partners. The programme offers an enhanced education experience, including the facilitation of industrial internships and work placements with leading security professionals, as well as other commercially specified projects. Our Scholarships and Work Placements programme offers a significant opportunity for students to enhance career prospects by directly engaging with potential employers.

Opportunities for placements are being provided by the following companies: Austrian Institute of Technology (AIT), Facebook, IBM, McAfee, PwC, RepKnight, Roke, Thales, and United Technologies Research CEntre (UTRC).

Professional Skills Training

Students will be offered a range of personal development and transferable skills training to improve their professional skills and increase their employability. Courses will cover: project management, presentation skills, communication strategies, networking skills, public engagement and entrepreneurship. Invited seminars and special guest lectures from industrial and academic leaders offer students a chance to engage with leaders in the cyber security profession.

Careers

Our graduates have found that holding a prestigious MSc qualification from Queen's (one of the UK's top engineering schools) has significantly enhanced their job opportunities and employment prospects. With demand for cyber security experts growing at 12 times the rate of the overall job market, students can expect their career prospects to be enhanced significantly after graduation.

Our MSc in Cyber Security will prepare graduates for successful careers in secure systems development, security architecture development, network security, data analytics, and right up to board level positions such as Chief Information Security Officer (CISO). Prospects for research and academic career paths in cyber security will also be enhanced by the MSc.

Special Features

Work Placements and Scholarships Programme

A number of scholarships, internships and work placement opportunities will be open to students accepted for enrolment on the MSc in Cyber Security degree programme. These opportunities are being provided on a competitive basis by CSIT's industrial partners and others affiliated with the Work Placements and Scholarships Programme. Once accepted for this masters degree you will be eligible to apply for opportunities made available via the programme.

Funding

- For further information and how to apply see:

http://www.qub.ac.uk/Study/Scholarshipsandfunding/



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Today organisation’s critical work systems are linked to the information technology (IT) that supports them. Read more

Today organisation’s critical work systems are linked to the information technology (IT) that supports them. The growth of the internet and mobile industries as IT environments for commercial transaction and information exchange has placed additional burdens on IT teams in organisations, requiring that developers be aware both of the infrastructure of the internet/mobile networks and the enabling web/mobile technologies.

The deployment of software systems on intranets and the internet is now of significant demand in the computing field and developers and IT managers must have the higher skills to deliver complete, robust hardware and software solutions for these environments.

This perspective reflects the view adopted by employers in the IT industry who seek to recruit people that have the required technical competence in the field of applied IT.

The course has been designed to equip computing graduates and professionals with the advanced knowledge and skills to analyse, model, design, develop, implement and evaluate computer-based systems in a wide range of application environments.

To find out more about the course, please visit https://courses.hud.ac.uk/2018-19/full-time/postgraduate/advanced-computer-science-msc

Postgraduate Study Fair

Come along to our Postgraduate Study Fair, Thursday 21st June, 10am – 2pm and discover all your postgraduate study and research options.

Our award-winning academic staff will be on hand to chat about all our postgraduate study and research options, flexible teaching and how postgraduate study can help you to advance your career or prepare for a career change. 

Find out more here and book https://www.hud.ac.uk/open-days/postgraduate/



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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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