Computer Science and Informatics (MSc by Research)

2019-20 (also available for 2020-21)

This course is eligible for Master's loan funding. Find out more.

Start date

23 September 2019

6 January 2020

28 April 2020

Duration

The maximum duration for a part-time MSc by Research is 2 years (24 months) with an optional submission pending (writing up period) of 4 months.

If studying on a part-time basis, you must establish close links with the University and spend normally not less than an average of 10 working days per year in the university, excluding participation in activities associated with enrolment, re-registration and progression monitoring. You are also expected to dedicate 17.5 hours per week to the research.

Sometimes it may be possible to mix periods of both full-time and part-time study.

Application deadlines

For PGR start date January 2020

29 November 2019

For PGR start date April 2020

11 February 2020

For PGR start date September 2020

02 July 2020

About the research degree

A Master's by Research (MSc) allows you to undertake a two year (part time) research degree. It contains little or no formal taught component. This type of study gives you the chance to explore a research topic over a shorter time than a more in-depth doctoral programme.

Research Master's students choose a specific project to work on and have a greater degree of independence in their work than is the case with a taught Master’s course.

You’ll be expected to work to an approved programme which you will develop in conjunction with your supervisor within the first few months of starting your studies.

Whilst undertaking the research project you will also have the opportunity to develop your research skills by taking part in training courses and events. The approved programme of training and research combines advanced study, research methodology and a substantial research project, or series of research projects in a chosen field.

You will be appointed a main supervisor who will normally be part of a supervisory team, comprising up to three members to advise and support you on your project.

At the end of the project you write up your findings in the form of a short thesis not normally exceeding 25,000 words (excluding ancillary data), which will then be examined.

On successful completion, you will be awarded your degree and if you have enjoyed this taste of research you may then decide to apply for the full research doctoral degree (PhD).

Entry requirements

The normal entry requirements for enrolment on a MSc by Research is an upper second honours degree (2.1) from a UK university or a qualification of an equivalent standard, in a discipline appropriate to that of the proposed programme to be followed.

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent will be considered acceptable. Read more about the University’s entry requirements for students outside of the UK on our Where are you from information pages.

What can I research?

There are several research topics available for this degree. See below examples of research areas including an outline of the topics, the supervisor, funding information and eligibility criteria:

Outline

Healthcare offers unique challenges for the deployment of machine learning models where the demands for interpretability and performance in general is much higher as compared to most other domains. Given that the cost of model misclassification is potentially high, explanations with respect to how a machine made conclusion is derived play a significant role informing clinicians making unbiased decisions. Knowledge-based systems aim to represent knowledge explicitly via tools such as if-then rules, which allow such a system to reason about how it reaches a conclusion and to provide explanation of its reasoning to end users. Fuzzy systems have been considered effective in building such rule-based systems with one of the most important advantages lying in their inherent interpretability as they support the explicit formulation of, and inference with, domain knowledge, gaining insights into the complex problems and facilitating the explanation of their solutions.

The aim of this PhD project is to develop fuzzy rule-based systems with a particular focus on scenarios of healthcare systems. At the initial phase, the project will look into a number of existing approaches proposed to address the interpretability issues of medical systems, as well as the recently established fuzzy rule-based models. A core part of the project will involve the design and implementation of a specific fuzzy rule-based model that will work with carefully selected healthcare aspects. The implemented system will be evaluated with respect to simulated bench mark data sets first, followed by a close examination of how such a system may perform in collaboration with medical doctors when applied to a diagnostic problem of realistic complexity.

Funding

Please see our Research Scholarships page to find out about funding or studentship options available.

Deadline

Our standard University deadlines apply. Please see our Deadlines for Applications page to find out more.

Supervisors

How to apply

Outline

Learning Analytics is an increasingly important area of research which has applications both within education and more broadly within organisations and society. In order to develop effective analytical algorithms it is important to better understand the role of data diagnostics within the context of personalised learning. This research study will investigate this topic using a data-driven approach to learning analytics, in particular considering the potential role for automation within learner support through the use of learning analytics and models of learning success.

Funding

Please see our Research Scholarships page to find out about funding or studentship options available.

Deadline

Our standard University deadlines apply. Please see our Deadlines for Applications page to find out more.

Supervisors

How to apply

Computing has a vibrant and rapidly growing research community with expertise in diverse areas, for example visualisation, information and systems engineering, and intelligent systems.

Our aim is to research and develop new methods and technology in computer science that will have a real impact on global grand challenges in areas such as transport, health, security and energy.

There is a wide range of topics which can be researched, including the following research areas:


• Artificial intelligence: planning, autonomous systems, knowledge representation and reasoning
• Information systems: Web-based information systems, semantic web, big data
• Human-Computer Interaction: visualisation, computer games

In the past, research has been conducted in collaboration with prestigious national and international partners from academia (e.g. Oxford, UCL, Bristol, Newcastle, Stanford, Bologna, VU Amsterdam, Vienna) and industry (e.g. British Telecom, IBM, Schlumberger).

To find out more about the research we conduct, take a look at our Research, Innovation and Skills webpages, where you will find information on each research area. To find out about our staff visit ‘Our experts’ which features profiles of all our academic staff.

Research Enviroment

We provide a supportive and vibrant research environment for postgraduate researchers (PGRs). Researchers at all levels are encouraged to contribute and collaborate. The Graduate School ensures that postgraduate research is of the highest quality and equips you with the resources that you need to become a successful researcher.

We have an exciting and comprehensive Researcher Skills Development Programme available to all postgraduate researchers. This enables you to broaden your knowledge and access tools and skills which can significantly improve employability. The programme is also mapped onto Vitae’s Researcher Development Framework (RDF), allowing you to benefit from Vitae support as well as our own Programme.

We offer skills training through a programme designed to take advantage of technology platforms as well as face-to-face workshops and courses. The University has subscribed to Epigeum, a programme of on-line research training support designed and managed by staff at Imperial College London which will be accessed via Brightspace, the University’s Virtual Learning Environment. We also subscribe to the University of East Anglia webinar series and The Good Doctorate video training series. We are part of the North West and Yorkshire PGR Training Group that allows PGRs to attend relevant training opportunities at other nearby universities.

Student support

Tuition fees

At the University of Huddersfield, you'll find support networks and services to help you get ahead in your studies and social life. Whether you study at undergraduate or postgraduate level, you'll soon discover that you're never far away from our dedicated staff and resources to help you to navigate through your personal student journey. Find out more about all our support services.

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