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The award
MRes

How long you will study
2 years

Domestic course fees
find out

How you will study
part-time

Course starts
January, September, January

International course fees
find out

All study options

About Computer Science at The School of Science and Technology, Nottingham Trent University

Designed to give you the opportunity to develop research skills in a computing area that meets your interests and career development needs.

This exciting Computer Science postgraduate degree allows you to combine material from any of our computing and technology taught Masters courses with an extended research project over a one-year period. This technical master's course will enrich your prior learning and give you the tools to succeed in your chosen specialism. You will work with our highly-regarded academics, who are active in a broad range of research areas.

As a student at NTU you will benefit from the excellent facilities and equipment available. The School of Science and Technology has a dedicated research facility for specialist work in the area of imaging and display, houses a class 100 clean room, X-ray security and analysis system, and a suite of display characterisation rooms.

For full module descriptions, which include 3D Games Algorithms, Computer Forensics, Service-Oriented Cloud Technologies, scroll down to the 'What you'll study' section.

Ideal platform for you to progress onto PhD study or pursue a research-based job

Postgraduate open events: We hold postgraduate open events throughout the year. Find out more and book a place.

Questions? Just ask NTU
Telephone: +44 (0)115 848 8351

What you'll study

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, subject to meeting pre-requisite requirements, 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

    Core modules:

    • Research Methods (20 cp) - You will develop the skills of research and enquiry that will enhance your independent learning abilities and enable you to write effective project reports and technical papers.
    • Research Project (120 cp) - You will develop advanced skills in a relevant specialist topic area through the completion of a research project. The project integrates knowledge of the course and includes the design and / or development of an innovative solution to a complex and challenging technical problem presented as a dissertation or technical research paper.

    Optional modules:

    You will choose two modules which include the below options but could, with the agreement of your tutor, take any modules within our Computing and Technology suite.

    • 3D Games Algorithms (20 cp) - Learn about the fundamental principles of advanced 3D rendering and physical simulation, and understand the choice implications of hardware and software tools.
    • Computer Forensics (20 cp) - Learn the necessary skills, methodologies and processes to conduct an initial computer forensics investigation within an organisation, and gain in-depth understanding of the importance of various computing systems in computer forensics investigations.
    • Applied Artificial Intelligence (20 cp) - Learn about a variety of artificial intelligence methods - such as machine learning, and reasoning techniques - how they can be used to solve real-world problems.
    • Robotics and Cybernetics (20 cp) - You'll develop knowledge of the relevant theories, advanced techniques and practices underpinning modern robotic and cybernetic systems - including robot design, construction and programming techniques.
    • Computer Security (20 cp) - Learn how to critically analyse security problems affecting computing systems at the operating system and application levels, and devise security solutions.
    • Service-Oriented Cloud Technologies (20 cp) - Design and implement enterprise-level computer applications using advanced techniques for large-scale distributed computing systems in Service-Oriented Architectures (SOA).
    • Embedded Systems (20 cp) - This module introduces the theory and practice of embedded engineering including performance, limitations, and the benefits of micro-controllers and other embedded controller systems.
    • Mobile Networks (20 cp) - You'll develop an awareness of the requirements, capabilities and constraints of a variety of mobile computing technologies and the networking facilities that can be built.
    • Network and Cloud Security (20 cp) - Learn how to migrate networked computing solutions to cloud infrastructures, and address the associated security risks.
    • Wireless Communications (20 cp) - Develop knowledge and understanding of wireless communication technologies, practical constraints, and their applications to simulated or practical implementation scenarios.
  • Learn a new language

    Alongside your study you also have the opportunity to learn a new language. The University Language Programme (ULP) is available to all students and gives you the option of learning a totally new language or improving the skills you already have.

    Learning a new language can:

    • Enhance your communication skills;
    • Enrich your experience when travelling abroad; and
    • Boost your career prospects.

    Find out more about the ULP.

  • Expert research

    We have a rich mix of knowledge ranging from software development for different types of systems through to hardware aspects such as networking for you to learn from.

    Benefit from our knowledge which has been built up and maintained through our wealth of industrial experience, our industrial links and our research activity. We are very proud to have achieved 90% world-leading or internationally-excellent research impact (REF 2014). Find out more.

    We engage fully in our subject area and this engagement feeds directly and indirectly into our teaching. Professor David Brown leads several projects, funded by the European Union, in games and assistive technology while Professor Paul Evans' innovative developments in security are supported by USA Dept of Homeland Security.

    Other examples of our activity are:

    • developing patents (for example, in voice signal processing)
    • involvement in the GameCity Festival
    • organising conferences on Interactive Technology and Games and on Intelligent Environments
    • working with local companies on funded projects e.g. enhancing the capability of the press association to search their image database
    • publishing novel findings in research publications on for example financial prediction, mobile communications, detection of human behaviour patterns.

    For more information about courses, your Computing and Technology Admission's Tutor is Dr Eugene Lai.

  • Key stats

    • 90% of our research activity achieved world-leading, internationally-excellent or internationally-recognised status (latest Research Excellence Framework 2014)
    • 95% of our postgraduates are in work or further study within just six months of finishing their degrees (latest Destination of Leavers from Higher Education survey 2014-15)
    • 83% of NTU postgraduate taught students said that overall they were satisfied with the quality of their course (Postgraduate Taught Experience Survey 2016)
    • Leading university in the UK for the number of postgraduate students taking professional qualifications (latest Higher Education Statistics 2014/15)

Course specification

View the full course specification
Please note that course specifications may be subject to change

How you're taught

The individual MRes programme plan for you will need to be approved by the MRes Programme Leader prior to starting, to ensure that the choice of taught modules is appropriate for the specialist area chosen for your research project, and is matched to your prior learning experience.

The various teaching methods are:

  • lectures to introduce and develop concepts and to explore the application of these concepts
  • workshops and laboratories to develop skills and appreciate concepts
  • seminars to provide academic support
  • case study and project work to develop a deeper understanding of concepts and applications

Careers and employability

Current demands are greater than ever for individuals to attain postgraduate levels of qualification in an increasingly competitive jobs market. As a result, the MRes in Computer Science Masters has been designed to meet the needs of students and employers, providing superior qualified graduates to national and international employers.

Alternatively, if you wish to continue your research as a career, this qualification is an ideal basis for further study leading to a PhD. If you continue your studies at Nottingham Trent University, work originally undertaken for an MRes may be put towards building a research portfolio leading to a PhD.

This course does not currently offer placements.

Study options for this course

Notes about fees for this course

UK Fees

Tuition fees 2017

  • Full-time study: £6,500
  • Part-time study: £3,250 per year

Tuition fees 2018

  • Full-time study: £7,800
  • Part-time study: £3,900 per year

Please see our Fees and Funding page for details and scholarships.

International Fees

Tuition fees 2017

  • Full-time study: £12,900

Tuition fees 2018

  • Full-time study: £13,900

Please see our Fees and Funding page for details and scholarships.

Funding

We offer prestigious scholarships to new international students holding offers to study at the University.

Entry requirements

You will need:

Applications are also invited from mature students with non-traditional qualifications.

International and EU students also need to meet the English language requirements.

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