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

These fees relate to new entrants only for the academic year indicated for entry onto the course, any subsequent years study may be subject to an annual increase, usually in line with inflation.

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.

OR

Work Experience Pathways:

• At least 3 years of relevant work experience, demonstrating in-depth knowledge of the sector for the subject matter you are interested in pursuing.

All work experience-based applicants will be required to provide a reference detailing your role(s) and responsibilities from your line manager this would be requested after you have successfully applied.

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.

Postgraduate Loyalty Discount:

You can get 20% discount on a taught postgraduate course if you’re a University of Wolverhampton Graduate.

The University offers a generous 20% Loyalty Discount to students progressing from an undergraduate programme to a taught postgraduate on-site programme, where both courses are University of Wolverhampton Awards.

There is no time limit on how long ago you completed your degree as long as this is your first Masters level qualification.

The discount applies to the first year of enrolment only. Students who receive a loyalty discount are not entitled to any further tuition discount or bursary. For full terms and conditions click here.

Self-funded:

If you are paying for the fees yourself then the fees can be paid in 3 instalments: November, January and April. More information can be found by clicking here.

Sponsored - Your employer, embassy or organisation can pay for your Tuition fees:

Your employer, embassy or organisation agrees to pay all or part of your tuition fees; the University will refer to them as your sponsor and will invoice them for the appropriate amount.

We must receive notification of sponsorship in writing as soon as possible, and before enrolment, confirming that the sponsor will pay your tuition fees.

Financial Hardship:

Students can apply to the Dennis Turner Opportunity Fund for help with course related costs however this cannot be used for fees or to cover general living costs.

Charitable Funding:

You might also want to explore the possibility of funding from charitable trusts; please see the following websites Association of Charitable Foundations, Directory of Social Change or Family Action. Most charities and trust funds offer limited bursaries targeted to specific groups of students so you will need to research whether any of them are relevant to your situation.

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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