MRes Artificial Intelligence

Program Overview

MRes Artificial Intelligence

Overview

The MRes Artificial Intelligence is an advanced research degree that prepares students to conduct innovative research in AI and machine learning. This programme emphasises original contribution to the field while developing sophisticated research capabilities essential for both academic and industry leadership positions.

Award

• MRes

Start date(s)

• 15 September 2025

UCAS Code

• Not specified

Course specifications

• View course spec

Course length

• Full-time (12 months)

Campus location

• University: City Campus

School

• Computing and Mathematical Sciences

UCAS points calculator

• Open Points Calculator

Why choose this course?

The MRes Artificial Intelligence positions you at the forefront of AI research and innovation. In today's rapidly evolving technological landscape, there is unprecedented demand for researchers who can advance AI capabilities and address complex challenges across various sectors.

This research-intensive programme has been crafted by leading experts to develop researchers capable of pushing the boundaries of AI technology. From healthcare diagnostics to climate change solutions, our students engage with pressing global challenges through original research.

What's unique about this course?

• Advanced AI Software: Industry-standard tools including TensorFlow and PyTorch
• Research Excellence: Direct supervision from active AI researchers
• Flexible Study: Two days per week across 12-week terms
• Modern Facilities: Purpose-built AI laboratories
• Industry Links: Partnerships with leading tech companies

What happens on the course?

The MRes Artificial Intelligence focuses on intensive research training and independent investigation. The programme topics include:

• Deep learning architectures
• Natural language processing
• AI ethics and governance
• Machine learning applications
• Advanced research methodology
• Academic writing and publication
• Research ethics in AI
• Data analysis and interpretation
• Research presentation skills

Course Modules

Year 1

• Concepts and Technologies of AI
  • Module: 7CS110
  • Credits: 30
  • Period: 1
  • Type: Core
  This module provides students with a comprehensive introduction to the theory and applications of artificial intelligence (AI). Throughout the module, students will learn the theory behind different AI methods and how to apply them to real-world problems. The latest cutting-edge AI technologies and necessary knowledge acting as a stepping stone to carry out research in AI are also discussed in this module.
• Dissertation
  • Module: 7CS113
  • Credits: 120
  • Period: 1
  • Type: Core
  The Dissertation is an independent study module in which students will negotiate, plan, manage and execute a programme of research and analysis. In addition, students will develop skills in critical thinking and report writing. Students will complete a research dissertation within their computing discipline.
• Research Methods
  • Module: 7CS112
  • Credits: 30
  • Period: 1
  • Type: Core
  In order to understand and make predictions researchers need to be able to not only assess, examine and interpret data, but also be able to communicate their findings in ways that conveys empirical rigor and trustworthiness. This module will set learners on the path to scientific success by supporting the development of competencies such as the formulation of research ideas, the design of research studies that enable the collection and analysis of valid data whilst operating within the parameters of ethical principles. Students will develop their analytical literacy, learn how to perform systematic and objective literature searches and reviews, to design robust methodologies and apply appropriate data analyses to test research questions. At the end of the module, students will submit a research proposal which will evidence their competency in designing a research study, and selecting an appropriate method. Students will benefit from knowledge of a number of transferable skills such as decision making, problem solving, data management, critical appraisal of written content and report writing skills.

Potential Career Paths

• AI Research Scientist
• Machine Learning Researcher
• Research and Development Lead
• Academic Researcher/Lecturer
• Industrial Research Specialist
• AI Ethics Researcher

Additional Information

• What skills will you gain? 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

Course Fees and Finance

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.

Entry Requirements

• Applicants should have or be about to complete:
  • A recognised undergraduate or postgraduate degree (or equivalent qualification) 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.

What our students say

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.

Funding

• 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.
• 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.