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.
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.
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;
Optional modules can include;
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.
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.
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;
Optional modules can include;
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.
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:
While the scope for research is wide, each area is underpinned by our fundamental aims:
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.
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.
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.
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.
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;
Optional modules can include;
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.
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.
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;
Optional modules can include;
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.
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.
Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.
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.
Semester 1
Semester 2
Semester 3
Find out more detail by visiting the programme web page
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.
View all funding options on our funding database via the programme page and the latest postgraduate opportunities
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Find out more about living in Aberdeen and living costs
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https://www.abdn.ac.uk/study/postgraduate-taught/degree-programmes/1085/information-technology/
Computing MSc is a broad-ranging course that concentrates on the latest tools and techniques of modern computer science, the course will equip you with relevant skills necessary for the job market. You will study a range of modules designed to give you a robust skill set for the field of modern computing. It is not essential to have obtained previous experience in computing or IT to apply for this course; however this course is ideally suited to graduates who demonstrate some aptitude for logical analysis and would like to add this discipline to their portfolio
• 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
First semester
• Object-Oriented Programming
• Database Systems and Design
• Computer Systems and Networks
• Systems Analysis and Design
Second semester
• Research Methods, Professionalism and Ethics
• E-Commerce Software
• E-Commerce Systems
• Human Factors in Systems Design
Third semester
• Project/Dissertation
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.
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).
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.
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 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:
Funding for postgraduate students:
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.
• 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
First semester
• Research Methods
• Artificial Intelligence Programming
• Mobile Robots
• Fuzzy Logic
Second semester
• Artificial Neural Networks
• Computational Intelligence Optimisation (CIO)
• Applied Computational Intelligence
• Data Mining, Techniques and Applications
(Intelligence Systems only)
• Intelligent Mobile Robots (Intelligent Systems
and Robotics only)
Third semester
• Individual Project
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.
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.
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 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:
Funding for postgraduate students
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:
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.
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.
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.
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:
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%
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.
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/
