Taught course

Artificial Intelligence

Institution
University of Wolverhampton · School of Mathematics and Computer Science
Qualifications
MSc

Entry requirements

  • 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.

Months of entry

January, September, November

Course content

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.

AI is playing an increasingly important role in all aspects of the modern world. From infrastructure and education to healthcare and climate change the importance of AI cannot be overemphasised. There is now a persistent demand for graduates from a variety of backgrounds who have the expertise and training needed to responsibly use AI technologies to combat some of the world’s greatest challenges. This course has been designed and developed by a team of experts to produce agile, flexible and dynamic graduates with the right blend of training, education and management skills to meet the demands of industry in a variety of areas.

This M.Sc. Artificial Intelligence is a conversion M.Sc. programme aimed at converting graduates from a broad range of disciplines into AI specialists. The distinctive nature of this course means that it appeals to students from a broad spectrum of academic backgrounds who may benefit from some additional assistance with areas outside of their previous area of study such as mathematics or programming. Prior to joining the course students are given an induction programme in mathematics and programming to equip them with the core skills needed to succeed. 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.

As part of the course students will have the opportunity to apply to do a paid internship with one of our industry partners, a list which includes The Royal Wolverhampton NHS Trust and Transport for West Midlands. Industry partners will also support the programme by providing students with case studies based on real events and will provide their cloud training environment to allow modelling of real-world scenarios.

An important aim for this programme is to increase the number of people from groups currently underrepresented in the AI and Data Science fields, and to encourage graduates from diverse backgrounds to consider a future in these occupations. In support of this aim a number of scholarships of £10,000 are available to students enrolled on this course. This programme will prioritise scholarships for female, black and disabled students. All students who have a firm offer of a place six weeks before the course start date will be invited to fill out a scholarship application.

Information for international students

  • Your qualifications need to be deemed equivalent to the above entry requirements.
  • English Language requirements are normally IELTS 6.5 with a minimum of 6.0 in each area (unless otherwise stated) or equivalent accepted qualification English Language Requirements
  • For further information relating to overseas qualification please click here.

Fees and funding

Office for Students Scholarships (Home Students Only)

A limited number of scholarships of £10,000 are available to students enrolled on this course. The scholarships aim to address skills gaps and increase diversity in the UK AI and data science workforce. Therefore, to be eligible for scholarship funding students must meet the nationality or residency status criteria to qualify for the postgraduate masters loan. This means that overseas students who require a visa to study are not eligible for the scholarship. If you are a Home student then you can apply for the scholarship here

Apply for the scholarship

Scholarship applications are reviewed regularly in advance of each course start date and the outcome will be communicated by email.

This M.Sc. Artificial Intelligence is a conversion M.Sc. programme aimed at converting graduates from a broad range of disciplines into AI specialists. The distinctive nature of this course means that it appeals to students from a broad spectrum of academic backgrounds who may benefit from some additional assistance with areas outside their previous area of study such as mathematics or programming. Prior to joining the course students are given an induction programme in mathematics and programming to equip them with the core skills needed to succeed. 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.

As part of the course students will have the opportunity to apply to do a paid internship with one of our industry partners, a list which includes The Royal Wolverhampton NHS Trust and Transport for West Midlands. Industry partners will also support the programme by providing students with case studies based on real events and will provide their cloud training environment to allow modelling of real-world scenarios.

An important aim for this programme is to increase the number of people from groups currently underrepresented in the AI and Data Science fields, and to encourage graduates from diverse backgrounds to consider a future in these occupations. In support of this aim a number of scholarships of £10,000 are available to students enrolled on this course. This programme will prioritise scholarships for female, black and disabled students. All students who have a firm offer of a place six weeks before the course start date will be invited to fill out a scholarship application.

Qualification, course duration and attendance options

  • MSc
    part time
    28 months
    • Campus-based learningis available for this qualification
    full time
    14 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Enquiries
Email
enquiries@wlv.ac.uk