MSc Artificial Intelligence

MSc Full-time 14 months, Part-time 28 months

The MSc Artificial Intelligence (AI) is a conversion MSc, designed for students from a broad range of disciplines who wish to enhance their existing knowledge and skills in order to open up career opportunities in AI.

The MSc Artificial Intelligence (AI) is a conversion MSc, designed for students from a broad range of disciplines who wish to enhance their existing knowledge and skills in order to open up career opportunities in AI.

Award
MSc
Start date(s)
2 March 2026, 9 January 2026, 16 September 2025, 10 November 2025, 14 September 2026, 19 January 2026
UCAS Code
Course specifications
Course length
Full-time (14 months),Part-time (28 months)
Campus location
University: City Campus
UCAS points calculator

Why choose this course?

Our MSc Artificial Intelligence is a specialist conversion programme designed to transform graduates from a wide range of disciplines into skilled AI professionals.

Whether your background is in humanities, business, science, or engineering, this AI master’s course equips you with the technical and theoretical knowledge to thrive in the fast-growing field of artificial intelligence.

Why choose this MSc in Artificial Intelligence?

  • Accessible to all graduates – The course welcomes students from diverse academic backgrounds. For those without prior experience in mathematics or programming, we provide comprehensive support to help you succeed.

  • Induction programme – Before starting, you’ll complete an intensive induction in mathematics and programming. This support remains available year-round, with ongoing guidance from our expert teaching team.

  • Industry-focused learning – Gain hands-on experience with case studies and real-world projects supplied by our industry partners. You’ll also have access to professional cloud environments for modelling and simulation.

  • Paid internships – As part of the MSc, you’ll have the opportunity to apply for a paid internship with leading organisations, including the The Royal Wolverhampton NHS Trust and Transport for West Midlands

Find out more from course leader, Liam Naughton: 

What's unique about this course?

  • Industry Software: Receive training & instruction in the use of industry standard software and tools such as R/RStudio, SAS, Python, SQL. As well as using these tools you’ll learn how to develop your own Apps and tools to develop dashboards using Quarto and Shiny 
  • Alumni Insights: Regular presentations from industry experts including graduates from the program. Previous speakers have included experts from the Department of Levelling-up, Housing & Communities, IBM, and the I-UG User Group.
  • Paid internships – As part of the MSc, you’ll have the opportunity to apply for a paid internship with leading organisations, including the The Royal Wolverhampton NHS Trust and Transport for West Midlands

What happens on the course?

On this MSc Artificial Intelligence course, the modules available vary from year to year and are reviewed regularly based on the pace of this fast moving sector. The two additional blocks comprise the MSc Artificial Intelligence Dissertation and the Industry Internship. 

Regular modules include:

  • Data Science
  • Concepts & Technologies of Artificial Intelligence
  • Deep Machine Learning
  • Data Mining & Informatics
  • Intelligent Agents
  • Statistics with AI and Data Science
  • Research Methods
  • Project Management

In addition to these modules students will be enrolled on a pre-course induction programme in fundamental mathematics and programming. This induction programme will be available to students all year round and additional support with mathematics and programming will be provided as needed by the expert support team at the University.

Course Modules

Potential Career Paths

Design and deploy ML models for real-world applications like recommendation systems, fraud detection, or self-driving technology.

Analyse complex datasets, build predictive models, and extract actionable insights for businesses or research.

Work in academia, research labs, or R&D teams to push the boundaries of AI, deep learning, or natural language processing.

Specialise in image and video analysis for fields such as healthcare (medical imaging), autonomous vehicles, and surveillance.

Develop chatbots, voice assistants, and language models to enable machines to understand and generate human language.

Integrate AI with robotics for applications in manufacturing, healthcare (surgical robots), or autonomous drones.

Guide companies in adopting AI technologies, designing AI-driven strategies, and implementing scalable solutions.

 

Additional Information

Everything you need to know about this course!

The MSc Artificial Intelligence course has been developed with a specific focus on employability. The industry internship provides students with the opportunity to fine tune their skills directly in the workplace and to gain valuable work experience.

The primary goal of the new conversion courses is to respond to the shortage of Data Science and AI specialists in the UK. The Government's Digital Strategy predicted that within 20 years, 90 per cent of all jobs will require some element of digital skills. 

The educational aims of this course are

  • To enhance critical understanding and skills regarding processes, techniques and methodologies around artificial intelligence in a blended learning environment with hand-on application using contemporary software.
  • To equip students from a broad variety of backgrounds with the key skills needed to apply artificial intelligence tools and techniques to complex real world situations.

To equip students with the communication, management and organisational skills needed to lead data science projects and to communicate findings to the wider organisation including to non-technical audiences

Location Mode Foundation Year Fee** Sep intake Fee Jan intake Fee May intake Fee Year
Home Full-time N/A £9088 per year ... ... 2025-26
Home Part-time N/A £4544 per year ... ... 2025-26
International Full-time N/A £16950 per year ... ... 2025-26

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

A lower second class honours degree in any discipline.

GCSE Grade 4 in Mathematics or equivalent.

Alternatively

Evidence of industrial experience in a relevant area will be considered. An interview process will also be utilised to verify suitability for the course for candidates with non-standard academic backgrounds but with demonstrable industry experience.

International Applicants

Your qualifications need to be deemed equivalent to the above entry requirements.

Master's Loan Eligibility


Postgraduate Loan (Home Fee Status):

You may be able to get a postgraduate student loan from Student Finance England of up to £12,858 to help pay for a Master’s degree. Applications are made through Student Finance England and more information on the regulations and eligibility criteria can be found at Masters Loans GOV.UK

* Any RPL will invalidate your eligibility as you must study a minimum of 180 credits


Changes for EU students:

The UK government has confirmed that EU students starting courses from 1 August 2021 will normally be classified as having Overseas Fee status. More information about the change is available at UKCISA:

EU citizens living in the UK with 'settled' status, and Irish nationals living in the UK or Ireland, will still be classified as Home students, providing they meet the usual residency requirements, for more information about EU Settlement Scheme (EUSS)


Postgraduate Loyalty Discount:

You can get 20% discount on a taught on-site 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 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 contact Association of Charitable Foundations, Directory of Social Change or Family Aid. 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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