School of Engineering, Computing and Mathematics

MSc Artificial Intelligence

MSc Artificial Intelligence (AI) incorporates elements of the theoretical underpinnings of AI along with exposing students to the practical considerations of constructing AI software tools. Students will study deep technical modules on topics including machine learning, computational intelligence, computer vision and big data, while studying modules on applied AI and robotics to gain an appreciation of the wide range of industrial applications AI has in the modern world.

Postgraduate open evening: Wednesday 3 March 2021

If you would like to find out more about this programme, please attend the next virtual postgraduate open evening.

Register for the postgraduate open evening

Key features

  • The programme has the potential for students to tailor their degree towards the industry in which they wish to apply their AI knowledge by selecting and exploring industry-relevant data sets and problems.
  • A combination of module types, including technical modules facilitating a deep-dive of cutting-edge AI technologies and providing experience of constructing AI software from first principles, alongside workshop modules providing insight into the field of AI as a whole. Each Semester is comprised of two technical modules and a workshop module.
  • An embedded research-informed teaching experience offering state-of-the-art knowledge, skills and practice, delivered by internationally recognised and world-leading academics. Students will work directly with these academics, receiving education, support and guidance from researchers at the forefront of AI research.
  • Excellent facilities for conducting research and project work in AI and robotics, including a range of state-of-the-art robotics laboratories, recently-updated computing facilities and the forthcoming new Engineering Design Facility, all of which provide an inclusive learning environment.
  • The programme incorporates a substantial element of practical and production-based work, resulting in an end product of industrial quality that solves a relevant problem. The programme’s assessment is inclusive, being completely coursework and practice based, and providing authentic and holistic means of assessing progress.
  • We promote learning through practice and doing, and a prominent feature of the programme is a dissertation module that enables students to draw together the rest of their taught content to produce outputs of a professional and publishable standard.
  • As a result of our industrial links students have excellent employment opportunities with a wide variety of organisations. These include both providers and consumers of AI.

Course details

  • Year 1
  • Students will learn a variety of cutting edge AI topics including machine learning, computational intelligence, computer vision and robotics. In all modules there is a focus on industrial problem solving with AI, and you will complete a dissertation in which you will conduct a deep exploration of a topic of your choice. Throughout your studies you will gain practical experience of constructing AI using both existing tools and innovating new methods from first-principles.

Entry requirements

A lower second class (2:2) honours degree or better in a STEM-based discipline. Applicants will need to have a sound awareness of programming and be comfortable in learning programming techniques. Applicants without any prior programming experience may be accepted subject to undertaking preparatory work prior to the start of the programme. Applicants with a lower classification, or substantial industrial experience in lieu of formal qualifications may be considered subject to interview.

A minimum IELTS English proficiency score of 6.5, with at least 5.5 in each component. 

The programme adheres to the University regulations and guidelines for the Accreditation of Prior Experiential Learning (APEL) and Accreditation of Prior Certificated Learning (APCL) for Masters programmes. 

Students are required to produce evidence of English language ability. This will normally be the equivalent of GCSE Grade C or above in English language or IELTS average score of 6.5 or above with at least 6.0 in the written component.

Fees, costs and funding

The UK is no longer part of the European Union. EU applicants should refer to our Brexit information to understand the implications.

New Student 2020 2021
Home To be confirmed £9,100
International To be confirmed £16,200
Part time (Home) To be confirmed To be confirmed
Full time fees shown are per annum. Part time fees shown are per a number of credits. Please note that fees are reviewed on an annual basis. Fees and the conditions that apply to them shown in the prospectus are correct at the time of going to print. Fees shown on the web are the most up to date but are still subject to change in exceptional circumstances. For more information about fees and funding please visit

Alumnus loyalty reward for postgraduate study

The University applies a discretionary alumnus reward where alumni meet certain criteria on particular postgraduate taught courses.

  • A 10 per cent discount on home tuition fees.
  • Or a £2,000 discount on international tuition fees.

For further details, programme exclusions and contact information, please see our alumnus discount policy.

How to apply

When to apply

Most of our taught programmes begin in September. Applications can usually be made throughout the year, and are considered until programmes are full. 

Before you apply

Familiarise yourself with the information required to complete your application form. You will usually be required to supply:
  • evidence of qualifications (degree certificates or transcripts), with translations if not in English, to show that you meet, or expect to meet the entry requirements
  • evidence of English language proficiency, if English is not your first language
  • a personal statement of approximately 250-400 words about the reasons for your interest in the course and outlining the nature of previous and current related experience. You can write this into the online application form, or include it as a separate document
  • your curriculum vitae or résumé, including details of relevant professional/voluntary experience, professional registration/s and visa status for overseas workers
  • proof of sponsorship, if applicable.
If you require further information take a look at our application guidance.

Disability services

If you have a disability and would like further information about the support provided by University of Plymouth, please visit our Disability Services website. 

International students

Support is also available to overseas students applying to the University from our International Office via our how to apply webpage or email

Submitting an application

Once you are happy that you have all of the information required you can apply using our online postgraduate application form (the blue 'Apply now' icon on this page).

What happens after I apply?

You will normally receive a decision on your application within four weeks of us receiving your application. You may be asked to provide additional information; two academic/professional references, confirming your suitability for the course; or to take part in an interview (which in the case of overseas students may be by telephone or video conference) and you will be sent a decision by letter or email.

We aim to make the application procedure as simple and efficient as possible. Our Admissions and Course Enquiries team is on hand to offer help and can put you in touch with the appropriate faculty if you wish to discuss any programme in detail.

If you would like any further information please contact the Admissions and Course Enquiries team:

Telephone: +44 (0)1752 585858

Admissions policy

More information and advice for applicants can be referenced by downloading our Student Admissions Policy Prospective students are advised to read the policy before making an application to the University.


Research - Centre for Robotics and Neural Systems (CRNS)

The centre builds on world-leading excellence in computer science, robotics and neural systems research. Staff at the centre coordinate large projects and collaborate with major international centres in cognitive robotics and computational neuroscience.

Centre for Robotics and Neural Systems (CRNS)