Postgraduate taught programme
MSc
Artificial Intelligence
Gain a solid grounding in AI through core theory and practical experience developing AI software. Study computational intelligence, computer vision, big data and robotics to understand how AI technologies work and are applied across industries.About
Artificial intelligence is reshaping how we analyse data, interact with technology, and solve complex problems across society. Our MSc Artificial Intelligence gives students advanced training in the theory and practice of AI, with hands-on experience in machine learning, NLP and large language models, computer vision, computational intelligence, and big data analytics. Supported by expert staff and an independent dissertation project, graduates leave prepared to contribute to the next generation of intelligent systems in industry, research, and public services.
Dr Amir Aly
Programme Lead
Learn from research‑active experts
Learn directly from internationally recognised, world‑leading AI researchers and apply this advanced knowledge to real industry datasets and problems, ensuring your degree is tailored to the sector you want to enter.
Innovative research and contemporary facilities
Our modern robotics labs, computing suites, and a new engineering design facility create an inclusive environment where you can conduct high‑quality research and produce industry‑standard practical outputs.
Graduate career-ready
With 100% coursework and hands‑on project work, you will graduate with a portfolio of industrial‑grade AI solutions and strong employment opportunities through established industry links.
Details
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.
For students entering the programme in September, you will attend the three core modules in your first Semester: COMP5008, COMP5012 and MATH517.
The second semester of the programme will allow you to pursue your choice of elective module alongside the two core modules of COMP5019 and ROCO510. During the summer term, you will work independently to carry out your research project (PROJ518).
If you are joining the programme in January then you will start by choosing your choice of elective module alongside the two core modules of COMP5019 and ROCO510. You will carry out your research project (PROJ519) during the summer term, and complete your programme by doing the remaining core modules of COMP5008, COMP5012 and MATH517 along with the next September intake, who take these three modules in their first Semester.
If you choose to study part‑time, you’ll follow a fixed timetable. For further details about part‑time study structures, please email science.engineering@plymouth.ac.uk.
Core modules
COMP5008
Advanced Machine Learning
20 credits
Push the boundaries of intelligent systems. This advanced module explores state-of-the-art machine learning, including neural networks, reinforcement learning, and modern optimisation. You'll apply cutting-edge models to real-world data, turning theory into powerful, adaptive solutions.
100% Coursework
PROJ518
MSc Dissertation and Research Skills
60 credits
This module enables students to undertake an independent research project, applying the knowledge and skills developed throughout their MSc studies. Under academic supervision, students will apply appropriate methodologies, carry out in-depth analysis, and present their findings in a well-structured dissertation that demonstrates critical thinking, technical ability, and academic rigour.
100% Coursework
COMP5012
Computational Intelligence
20 credits
Delve into intelligent computation inspired by nature. This module explores neural networks, evolutionary algorithms, and fuzzy logic systems, giving you the tools to create adaptive, resilient AI. From pattern recognition to optimisation, you'll harness computational models that mimic human and biological intelligence.
100% Coursework
PROJ519
MSc Dissertation and Research Skills
60 credits
This module enables students to undertake an independent research project, applying the knowledge and skills developed throughout their MSc studies. Under academic supervision, students will apply appropriate methodologies, carry out in-depth analysis, and present their findings in a well-structured dissertation that demonstrates critical thinking, technical ability, and academic rigour.
100% Coursework
COMP5019
Natural Language Processing and Large Language Models
20 credits
Discover how machines understand and generate language. From syntactic analysis to transformer architectures, this module explores modern NLP and large language models. You'll build and evaluate systems that can translate, summarise, answer questions and shape the future of communication.
100% Coursework
MATH517
Big Data Visualisation and Analytics
20 credits
There is an ever increasing amount of Big Data available. You will learn state-of-the-art techniques for extracting valuable information and insights from Big Data. We'll teach you professional software to clean, visualize and analyse complicated datasets. We'll also provide you with experience of professional reporting your Big Data analyses.
100% Coursework
ROCO510
Computer Vision and Deep Learning
20 credits
This module provides advanced knowledge of computer vision systems and state-of-the-art deep learning techniques. It covers the theoretical foundations of visual systems, including feature detection, recognition, segmentation, stereo vision, and calibration. Learners will explore robust AI-driven deep learning methods, gaining both theoretical insights and practical skills for computer vision applications.
50% Coursework
50% Examinations
Optional modules
COMP5011
Cyber-Physical Systems Security
20 credits
Secure the link between digital and physical worlds. This module explores the unique challenges of safeguarding cyber-physical systems, from autonomous vehicles to smart grids. You'll design resilient architectures, evaluate vulnerabilities, and implement controls that protect embedded and connected environments.
100% Coursework
COMP5018
Human-Robot Interaction
20 credits
Explore the evolving relationship between humans and intelligent machines. This module covers the principles, design challenges, and evaluation methods behind effective human-robot interaction. You'll design interfaces and behaviours for collaborative robotics in industries, care, and education.
100% Coursework
MATH516
Machine Learning and Artificial Intelligence for Healthcare
20 credits
We'll teach you state-of-the-art Machine Learning and Artificial Intelligence techniques for extracting insightful information from health data and medical studies. You'll also learn cutting-edge software to implement all the techniques that you meet. Machine Learning and Artificial Intelligence are becoming increasing important in healthcare and medical practice, and having expertise in them makes you highly employable.
100% Coursework
Athena Swan Silver awarded to the School of Engineering, Computing and Mathematics
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.
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:
Careers, industry and research
Shaping careers through industry connections
Our strong industry links give students outstanding employment opportunities with organisations that both develop AI technologies and use them to drive innovation.
These partnerships provide access to real‑world projects, placements, and professional networks across sectors such as healthcare, finance, manufacturing, and the public sector - helping you build the skills and experience needed to succeed in a rapidly evolving AI-driven landscape.
Artificial intelligence graduates have gained employment as: mobile developers, web application developers, software developers, project managers, systems analysts, software engineers, UX developer, data analytics developer, AI developer, machine learning engineer, data engineer/architect.
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"The University really allows you to make your experience whatever you want it to be."
Cara Monastra
MSc Artificial Intelligence
MSc Artificial Intelligence
Graduate insight
MSc Artificial Intelligence offers a balance between key areas like deep learning, data science, and robotics, along with practical projects that make the learning experience very hands-on and engaging. The lecturers are supportive and approachable, and I felt encouraged to explore topics in more depth, especially during my dissertation. A highlight for me was being able to apply what I learned to real-world problems, which made the whole experience very meaningful. The environment and support at Plymouth had a big impact on my academic journey, and it ultimately inspired me to continue my PhD studies here.
Yasas, MSc Artificial Intelligence graduate
Facilities to support your learning
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The Babbage Building is home to the engineers of the future, equipped with cutting‑edge facilities sourced from world‑leading companies. Access the sub‑sonic wind tunnel, autonomous vehicle test lab, energy and sustainability lab, high‑performance computing, digital fabrication spaces, virtual engineering suites, and more.
Our robotics facilities and specialist laboratories enable a hands-on approach to learning. As a MSc Artificial Intelligence student you will have use of both custom in-house and industrial robots during your studies. In addition, we have a range of robots and platforms that can be used for student projects, including robot dogs and drones.
Pepper Robot is used in the module COMP5018 (Human-Robot Interaction)
Benefit from a wide range of specialist computing facilities within our Smeaton and Portland Square Buildings, including our Cyber Security and Digital Forensics Laboratory, dedicated Artificial Intelligence Laboratory, and an open learning space designed to support collaborative study and innovation.
A research laboratory for building smarter, more interactive robots. Combining AI, robotics, cognitive science, and language tech to create machines that learn, communicate, and support people - from daily living and education to e‑health and wellbeing.
Research-informed teaching
Learn from researchers and lecturers who are developing applications
Benefit from our industry expertise and study a course that is influenced by our innovative research.
We have active research projects that are key to some of the industry's most pressing issues. Active core members of these research groups make up a large proportion of your lecturers and tutors, and you will be taught be some of the best academics in the field.
Dr Amir Aly
Lecturer in Artificial Intelligence and Robotics
Programme Lead
Dr Shaymaa Al-Juboori
Lecturer in Computer Science
Dr Lauren Ansell
Lecturer in Data Science
Postgraduate student life
Postgraduate study at the University of Plymouth is about more than just getting a qualification – it’s a chance to explore your subject in greater depth, challenge yourself intellectually, and grow both personally and academically.
With a supportive learning environment and flexible study options – including part-time and January start dates – you can shape your studies around your personal and professional commitments. Our supportive teaching, and welcoming student community, means you’ll be part of an environment that encourages curiosity, collaboration and independent thinking. Whether you're continuing from undergraduate study or returning to education, Plymouth offers the space, resources and inspiration to help you thrive.
The University takes every single step to ensure that students are supported. There are continuous workshops on referencing, a writing café and peer-supported learning sessions. Furthermore, lecturers are generally aware and sensitive to transitioning to university therefore they are always offering support when needed.
Joyita
Current student
Current student
Your Plymouth community
At the University of Plymouth, you get the same access to support, sports and societies as undergraduate students. That means everything available to undergraduates is open to you too, whether it’s joining a sports club, attending events, taking part in student societies, or accessing health and wellbeing services.
You’re a full member of the Plymouth community, and that comes with all the benefits. So take advantage of what’s on offer – get involved, stay connected and make the most of your time here.
Enrich your studies with the Postgrad Society
The Postgrad Society welcomes all postgraduate students - whether full-time, part-time, taught or research-based - offering a supportive space to connect beyond academic pressures. Join a vibrant community where you can unwind, celebrate achievements and meet likeminded peers through a wide range of activities - from pub quizzes, movie nights, and beach cleans to trips along the South West coastal path and the annual Postgraduate Christmas Ball.
Events are thoughtfully planned around key postgraduate milestones and often in collaboration with other societies, so you can try new things and make the most of your university experience.
Find out more or explore:
Fees and funding
Tuition fees
Tuition fees for UK students starting in 2026-2027 academic year
Full-time study
£10,600 per year
£10,600 per year
Part-time study
£590 per 10 credits
£590 per 10 credits
Tuition fee price changes
Our fees are reviewed on an annual basis. Fees and the conditions that apply to them are the most up to date but are still subject to change in exceptional circumstances. More information about
Fees and costs of studying .
Tuition fees for full-time international students starting in 2026-2027 academic year
Full-time study
£21,000 per year
£21,000 per year
Tuition fee price changes
Our fees are reviewed on an annual basis. Fees and the conditions that apply to them are the most up to date but are still subject to change in exceptional circumstances. More information about
fees and costs of studying .
UK Government announcement on tuition fees
The UK Government has announced that a levy on tuition fee income in the region of 6% of an international student’s tuition fees may be introduced. If implemented, the University reserves the right to increase your tuition fees accordingly. The Government has made it clear that it has not officially decided on its stance and it is possible that the eventual levy amount or arrangements may differ from the initial proposal. Therefore, the University reserves the right to adjust tuition fees in accordance with the Government’s final position on this levy.
We understand that clarity around tuition fees is important when planning your studies. Therefore, please note that the tuition fee shown on this page may change as a result of the introduction of a levy. We advise you to monitor this page regularly to stay informed of any updates to your tuition fees.
Fund your studies
As a postgraduate at Plymouth, there are plenty of funding options available, including postgraduate masters loans, scholarships, bursaries and support funds.
Postgraduate Masters Loans (PGML)
You may be eligible to apply for a Postgraduate Masters Loan to help with course fees and living costs while you study a postgraduate masters course.
Tuition fee discount for University of Plymouth graduates
If you studied your undergraduate degree at Plymouth, you may be eligible for a fee discount if you complete your postgraduate studies here as well.
- 10% or 20% discount on tuition fees for home students
Supporting students with the cost of living
The cost of living in the UK has risen faster than household income, meaning that most people will have less to spend on essential goods and services. This is an ongoing situation that is likely to affect everyone in some way.
The University provides advice and guidance and has a range of services, facilities and offers to help students with rising everyday costs.
Apply
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.
Extended entry requirements
- a suitable English language qualification. The minimum IELTS score for acceptable English proficiency for entry is 6.5 (with a minimum of 5.5 in each element).
English language requirements - 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.
- evidence of qualifications (degree certificates or transcripts), to show that you meet, or expect to meet the entry requirements
- 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.
Ready to apply?
After you 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 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.
Duration
1 year
Course type
Full-time, Part-time route available
Study location
Plymouth
Plymouth
Entry requirements
We welcome applicants with international qualifications and we accept a range of qualifications from across the globe.
BSearch entry requirements for your country
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Extended entry requirements
- a suitable English language qualification. The minimum IELTS score for acceptable English proficiency for entry is 6.5 (with a minimum of 5.5 in each element).
English language requirements - 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
- 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.
Ready to apply?
As an international student, you can apply for this course directly through the University of Plymouth or
through an agent in your country.
Need support with your application?
- Personal statement guidance
- Student visa support
- Travel and arrival information
- and more
After you 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.
Duration
1 year
Course type
Full-time, Part-time route available
Study location
Plymouth
Plymouth
Other routes to this course
The University of Plymouth International College (UPIC) offers foundation, first-year and pre-masters programmes that lead to University of Plymouth degrees. Courses are specially designed for EU and international students who are missing the grades for direct entry to the University, and include full duration visa sponsorship. You can start in January, May or September, benefitting from small class sizes, top-quality tuition and 24/7 student support.
Find out more at plymouth.ac.uk/upic or contact our team at info@upic.plymouth.ac.uk
Visit us at a postgraduate on-campus open evening
Visit us on campus to find out more about postgraduate study, speak to academic staff, and take a look around our campus and facilities.
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