MRes Artificial Intelligence

The programme aligns with current AI research trends and industry needs. While current accreditations are pending, the course content is developed in consultation with AI researchers and industry experts to ensure relevance and rigour.

Professional Recognition and Partnerships are currently being established with leading AI organisations and research institutions.

Research Support

Students benefit from:

• Regular supervision meetings
• Advanced research training workshops
• Conference presentation opportunities
• Publication support
• Industry collaboration possibilities

The University is committed to a transparent fee structure, with no hidden costs, to help you make an informed decision. This includes information on what is included in the fee and how fees are calculated and reviewed.

If a tuition fee is not showing, we may not offer this intake for this course. Please check the start date information on the course finder for start dates.

Entry Requirements

Applicants should have or be about to complete:

• A recognised undergraduate or postgraduate degree (or equivalent qualification) in Computer Science or closely related subject from an accredited college, institution or university, equivalent to or higher than a UK Bachelor honours degree qualification.

Please include in your personal statement an explanation of your research interests and how they align with your career aspirations; you may be required to attend an interview to discuss this further.

English language

If English isn’t the applicant’s first language, they will need to provide evidence of English language ability.

• English Language requirements are normally IELTS 6.5 with a minimum of 6.0 in each area (unless otherwise stated) or equivalent accepted qualification https://www.wlv.ac.uk/international/international-academy/english-at-the-international-academy/language-entry-requirements/

At the University of Wolverhampton, your MRes Artificial Intelligence research will be conducted in our state-of-the-art AI and Data Science Centre, equipped with the latest high-performance computing facilities and specialist research tools. Our strategic location in the West Midlands tech corridor provides excellent opportunities for collaboration with industry partners and research institutions.

You'll work alongside our distinguished Artificial Intelligence Research Group, which has established expertise in machine learning, computer vision, and natural language processing. Our strong industry connections, including partnerships with leading technology firms and research organisations, create valuable opportunities for impactful research.

Financial support for research study:

Before applying, you should consider carefully how you will finance your studies for the duration of your programme, including tuition fees, research support fees and living costs.

Self-funded:

We are able to take payments in instalments, to spread out the cost of your studies, and it is possible to switch between full-time and part-time modes of study. For more information go to How to pay.

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Postgraduate Research Loyalty Discount:

To students progressing from an undergraduate programme and/or a taught postgraduate programme to a postgraduate research programme, where both courses are University of Wolverhampton Awards.

There is no time limit on how long ago you completed your degree and/or Masters level qualification, as long as the new award is at a higher level.

For full terms and conditions please see: Loyalty Discount for Postgraduate Research Students

Research councils:

The UK Research and Innovation funds postgraduate study in all subject areas on a discretionary basis.

University Research Studentships:

The University offers a very limited number of research stipends, formerly known as bursaries, to research students. Stipends are designed to support specific projects as determined by the Research Institute rather than individual student-led projects. Funds are accessible from the relevant Research Institute or Centre - please contact them directly.

Other sources:

Dennis Turner Opportunity Fund.

You can find more information on the University’s Funding, cost, fee and support pages.

Telephone

01902 32 22 22

Email

enquiries@wlv.ac.uk

Online

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