MSc Artificial Intelligence

• Programme overview

• 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. 

  Core modules

  • Artificial Vision and Deep Learning (AINT515)

    This module will provide an advanced knowledge of artificial vision systems for autonomous robots. It will be underpinned by current theoretical understanding of animal vision systems and computational models. This module will introduce the use of deep-learning neural networks in vision systems.

  • Advanced Machine Learning (COMP5008)

    This module equips students with knowledge of the underlying theory of machine learning, as well as practical skills that enable them to apply theory to real-world problems. A variety of problems (including unsupervised, supervised and reinforcement learning tasks) are considered with a range of cutting-edge techniques. Students can customise the module to their career aims by identifying and exploring relevant data sets.

  • Big Data and Social Network Visualization (MATH513)

    Sophisticated analytics techniques are needed to visualize today's increasing quantities of Big Data. Up-to-date R tools including dplyr for data manipulation, ggplot2 for visualization, and knitr/LaTeX for document presentation are studied. These are applied to database interrogation, social network visualization and sentiment analysis. The module provides considerable experience of writing professionally documented R code using RStudio.

  • MSc Dissertation and Research Skills (PROJ518)

    You will develop a methodical approach to research that helps propose research projects that are practically realistic and academically worthwhile. A substantial project will be planned and carried out using ethically suitable quantitative and qualitative research methods. The project will be reported through a high quality, scholarly and professional write-up, either as a formal dissertation or journal paper.

  • Computational Intelligence (COMP5012)

    This module examines the state-of-the-art in computational intelligence, focussing on evolutionary computation, swarm intelligence, fuzzy systems and Bayesian and Markov networks. Students will learn about the underlying theory behind these techniques and gain practical experience of implementing them. CI approaches will be discussed against the backdrop of various industrial problems that they are suited to solving.

  • Topics in Applied Artificial Intelligence (COMP5013)

    This module provides students with a view of how artificial intelligence is used within research and commercial settings. Delivered by a mix of academics developing novel AI techniques, and research and commercial users of AI, the module will enable students to appreciate the range of complexities inherent in the application of AI to solving real-world problems. As well as technical topics, the ethics of AI are explored.

  • Advanced Robot Design and Prototyping (ROCO507Z)

    This module aims to give the students a theoretical and practical understanding of designing and building advanced robot assemblies and mechanisms, through engineering and bioinspired approaches.

  • MSc Dissertation and Research Skills (PROJ519)

    You will develop a methodical approach to research that helps propose research projects that are practically realistic and academically worthwhile. A substantial project will be planned and carried out using ethically suitable quantitative and qualitative research methods. The project will be reported through a high quality, scholarly and professional write-up, either as a formal dissertation or journal paper.

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

The following programme specification represents the latest programme structure and may be subject to change:

MSc Artificial Intelligence programme specification_7045

The modules shown for this course or programme are those being studied by current students, or expected new modules. Modules are subject to change depending on year of entry.

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.

Applications for September 2025 onwards

Please contact admissions@plymouth.ac.uk or telephone +44 (0)1752 585858 to register your interest in applying for this programme. 

Please include your name, contact details, email and telephone number, the course that you are interested in and the year you wish to start your studies. 

You will be sent further details on how to apply as soon as possible. 

 

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

Familiarise yourself with the information required to complete your application form. You will usually be required to supply:

If you require further information take a look at our application guidance. 

If you have an impairment, health condition or disability, learn about the additional support the University provides.

Support is also available to overseas students applying to the University from our International Office. Take a look at our how to apply information or email admissions@plymouth.ac.uk.

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). 

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:

More information and advice for applicants can be referenced in our admissions policy which can be found on the student regulations, policies and procedures page. Prospective students are advised to read the policy before making an application to the University.