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Postgraduate study

Course overview

This research-based Computer Science master’s enables you to join one of our research groups where you will be mentored by active researchers and produce a research proposal for a PhD programme.

This course links directly with the research groups within the School. 45% of Computer Science and Informatics research was recognised as world-leading and internationally excellent in REF 2014.You are embedded within a research group upon starting the programme and are mentored by active researchers. You have the support of other researchers through regular research group meetings and you become part of a community of researchers, where collaboration, networking, building relationships and the sharing of ideas takes place.


Course details

Course structure

Core modules

Experiment Definition

A successful researcher has the ability to define an experiment, survey or case study; identify and define an appropriate research strategy and methodology and articulate this to an audience. This can involve assembling and managing complex datasets, developing and testing or evaluating a program, producing and analyzing quantitative or qualitative data or analysing tests, sources and other materials.

Drawing on feedback from the previous modules, use your case study topic as a basis to investigate in detail the nature of experimental work in your field. You also define the experiment, hypotheses, method and expected outcomes for a specific case study.

Focused Study

A researcher focuses on gaps in knowledge, identifies problems in existing projects, or potential opportunities for specialised study within a specific domain.

You select an area of interest identified through the literature review. You carry out a case study around an area of work (which may be proposed by the research group). You are expected to negotiate a research supervisor, explore further the literature related to this particular project and formulate a research question.

100% in course assessment - a literature review, development of a research question(s) and identification of the research paradigm applicable to the area of study.

Master's Project: Computer Science

You develop a substantial research project identified through the previous independent research modules. You carry out further in-depth research and investigation, reflecting on feedback from the previous modules. You are supervised by an academic with experience of research in your discipline and have an opportunity to present work in progress to research group meetings. Through further cycles of research, experimentation and analysis of findings, you realise the project aims and objectives defined early in your course. There is the opportunity to continue your research through to PhD level.

Assessment is 100% in course assessment. The summative assessment includes a thesis (approximately 15,000 words) that you submit at the end of the module and you defend your contribution in a viva.

Research Immersion

A key skill for a researcher is the ability to immerse themselves into their chosen field of study, to identify key texts and to begin to link up theories and ideas.

You explore the research culture by becoming a member of a named research group within the School. You are guided by a research group mentor and develop an understanding of what it means to be a researcher. You carry out a literature review supported by access to library services and directed by your supervisor (research mentor throughout the course). You are informed by the research groups publications and related literature. You explore the library resources that support research in that field. You also explore a broad body of work within the confines of a specific research area.

100% in course assessment - a report consisting of a broad literature review of a specific research area related to your chosen research group. The texts are negotiated with your research mentor. Your report includes an indication of and rationale for, an area for further investigation and a reflection on your experience of working as a member of a research group.

Research Methods

You gain the knowledge and skills to understand the research process in computing and digital media, and the necessary skills to undertake your masters project. You learn how to use and critically evaluate previous academic research, and to generate good evidence material to justify their professional practice. This involves you learning about different research strategies and data generation methods and how they fit into the development lifecycle and the evaluation of the user experience, the use of the academic research literature, and research ethics.

Assessment involves you preparing a research proposal which can form the basis of your master's project.

Research Proposal

You contribute to a research symposium held at the end of the semester by the Schools research groups. You contribute a research poster that encompasses the preliminary work undertaken so far.

The symposium event is an opportunity to engage a research community with the same interests and to receive feedback and endorsement for your work in progress.

You learn how to put your poster together to include various aspects, such as abstract; experimental design, seminal work already undertaken and expected contributions. You also learn how to get the most from the event, including networking, receiving and managing feedback from peers.

Assessment is 100% ICA - a research poster and an oratorical presentation to symposium members.

Statistical Methods

You develop necessary knowledge and practical understanding of the main statistical techniques. You explore quantitative and qualitative data analysis techniques, reflecting scientific and social science methods. You focus on correlation testing, regression, data categories, normalization - the tools needed, rather than the philosophical approaches. You understand how to apply valid techniques and interpret the results in preparation for experimental work.

Your assessment is a single ICA based around a number of case studies that require you to identify the correct data analysis and modelling processes.


Modules offered may vary.


How you learn

You learn about concepts and methods primarily through keynote lectures and tutorials using case studies and examples. Lectures include presentations from guest speakers from industry. Critical reflection is key to successful problem solving and essential to the creative process. You develop your own reflective practice at an advanced level, then test and assess your solutions against criteria that you develop in the light of your research.

How you are assessed

The programme assessment strategy has been designed to assess your subject specific knowledge, cognitive and intellectual skills and transferable skills applicable to the workplace. The strategy ensures that you are provided with formative assessment opportunities throughout the programme which support your summative assessments. The assessments will include assignments, tests, case studies, presentations, research proposal and literature review, and the production of a dissertation. The assessments may include individual or group essays or reports. The assessment criteria, where appropriate, will include assessment of presentation skills and report writing.


Entry requirements

You will normally have a first degree in related discipline (2.2 minimum) or relevant experience or equivalent qualifications.

In addition, international students will require IELTS 6.0 or equivalent.

For additional information please see our entry requirements

International applicants can find out what qualifications they need by visiting Your Country


Information for international applicants


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Useful information

Visit our international pages for useful information for non-UK students and applicants.

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2020 entry

Fee for UK/EU applicants
£6,500 a year

More details about our fees

Fee for international applicants
£13,000 a year

More details about our fees for international applicants

  • Length: within 1 year (September and January intakes)
  • Enrolment date: September and January
  • Semester dates

Apply online (full-time)

Apply online (fast-track) for current students



2020 entry

Fee for UK/EU applicants
£722 for each 20 credits

More details about our fees

  • Length: Up to 3 years (can be completed in 2 years if preferred)
  • Enrolment date: September and January
  • Semester dates

Apply online (part-time)

Apply online (fast-track) for current students


Choose Teesside


Stand out from other job applicants with your higher level qualification, specialist knowledge and expanded networks.



Improve your project management, critical thinking, research skills, time management, presentation skills and teamwork.



The median salary for working-age (16-64) postgraduates in 2018 was £6,000 more than graduates
(DoE Graduate Labour Market Statistics 2018,



Study in our friendly town-centre campus with over £270m recently invested and another £300m over the next 10 years.


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