MSc or PGDip or PGCert in Artificial Intelligence

Program Overview

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Artificial Intelligence

MSc or PGDip or PGCert

Start Dates and Duration

• Start dates: September 2025 / September 2026
• Full time:
  • MSc: 1 year (12 months)
  • PG Dip: 6 months
  • PG Cert: 3 months
• Part time:
  • MSc: 2 years (24 months)
  • PG Dip: 18 months (12 months study time)
  • PG Cert: 6 months

Location and School

• Location: Headington
• School(s): School of Engineering, Computing and Mathematics

Overview

Are you ready to be part of the Artificial Intelligence (AI) revolution and shape the future of technology? Study MSc Artificial Intelligence at Oxford Brookes and you’ll get to grips with current AI trends like autonomous vehicles and augmented reality.

Ignite your imagination as you study with researchers and tutors at the forefront of AI. You’ll build on your existing knowledge of machine learning, discover how AI integrates with big data and the cloud, and untangle the algorithms behind intelligent autonomous systems and cloud computing.

We encourage you to take part in our research. You can help our robot dog navigate obstacles or join the Oxford Brookes winning Formula Student autonomous vehicle team. You’ll also have the chance to get hands-on in the Robot Lab where you’ll complete coursework.

As one of our MSc Artificial Intelligence students, you’ll bring extensive knowledge of software development, and you may already have industry experience. You’ll be ready to create new AI tools.

Why Oxford Brookes University?

• Brand new facilities: All Computing courses are moving from Wheatley Campus to brand new, custom-designed buildings at our main Headington site. These buildings will open in the 2024/25 academic year. You'll benefit from state-of-the-art facilities and equipment including a VR cave, digital, computing and robotics labs, as well as social learning spaces, teaching rooms and cafe space.
• Formula Student racing: Develop software for autonomous vehicles as part of a winning Formula Student racing team.
• Current AI trends: Discover how AI is changing industry, explore AI systems and work with industrial robotics.
• Award-winning research: Our department is home to a team of world-leading researchers with a focus on user-inspired original research with real-world applications.
• Tech industry hub: Oxford is proportionally the third-largest digital cluster in the country with 25% of employment coming from the tech industry.

Course Details

Course Structure

Our MSc Artificial Intelligence is an advanced course ideal for students with extensive prior programming experience. You’ll study everything from machine learning and data mining to intelligent autonomous systems. You’ll sharpen a range of skills as an AI software engineer, including learning to create, evaluate and analyse applied artificial intelligence within systems. We’ll also help you develop and employ autonomous intelligent systems with a range of uses in different environments.

One challenge you’ll face is how to extract useful data and use large data sets. You’ll then discover how to communicate your data with non-technical colleagues and present information in visually engaging and useful ways. In your individual final project, you have the opportunity to develop your personal area of interest and work closely with research or commercial partners supervised by a faculty member.

Learning and Teaching

You will be taught with a combination of lectures and practical sessions. Lectures provide a theoretical basis, while practical sessions strengthen your understanding with active involvement.

You will be provided with a varied experience, as well as the opportunity to discuss your work directly with lecturers.

Many of the modules are enriched by the teaching staff's research expertise. We also invite visiting lecturers from research organisations and industry to come and give guest lectures.

Assessment

Assessment is continuous and includes:

• Coursework exercises
• Presentations
• Lab work
• Examinations
• Reports

Study Modules

The modules listed below are for the master's award. For the PGDip and PGCert awards your module choices may be different. Please contact us for more details.

Taught Modules

Compulsory Modules

• Research Methods (20 credits): This module is designed to equip you with the tools necessary for the scholarship and research skills needed for your speciality as well as developing the professional skills and outlook needed for a lifelong career in the computing industry.
• Autonomous Intelligent Systems (20 credits): This module equips you with the knowledge and critical understanding of how Autonomous Intelligent Systems are employed in a wide range of environments with different functionalities.
• Principles of Data Science (20 credits): This module presents an overview of core data science concepts and tools, focusing on real-life data science research questions. This module will teach you to analyse and visualise large data sets by using state of the art tools and techniques.
• Statistical Modelling (20 credits): This module will introduce you to the fundamental statistical concepts required to model and analyse data.
• Machine Learning and Data Mining (20 credits): This module introduces you to the fascinating and increasingly important worlds of Machine Learning and data Mining. This module covers the key current technologies in these areas, illustrates how these technologies are being used to revolutionise business, and exposes you to current research directions in this rapidly evolving field.
• Group Software Project (20 credits): This module teaches you the current practices, skills and techniques applied to managing software development in a team related. This module provides you students with skills to critically evaluate and analyse the application of artificial intelligence in a real case scenario.

Final Project

• Dissertation in Computing Subjects (60 credits): This is an individual research and development project that allows you to study a topic of your choice in the area of Artificial Intelligence in depth, guided by your supervisor. The work may be undertaken in close cooperation with a research, industrial or commercial organisation. You undertake your dissertation over the summer period if you are a full time student.

Research

The School of Engineering, Computing and Mathematics is home to world-leading and award-winning research. Our focus is on user-inspired original research with real-world applications.

We have a vibrant and growing research community, with a wide range of activities from model-driven system design and empirical software engineering through to web technologies, cloud computing and big data, digital forensics and computer vision.

Staff and students collaborate on projects supported by the EPSRC, the EU, the DTI, and several major UK companies.

Computing achieved an excellent assessment of its UoA (Unit of Assessment) 11 return for REF 2014 (Research Excellence Framework).

Students on this course can be involved with research in the following research groups:

• Centre for AI, Culture and Society (CAICS)
• Advanced Reliable Computer Systems (ARCoS)
• Applied Software Engineering and Data Analytics (ASEDA)
• Cloud Computing and Cybersecurity group (CCC)
• Machine Learning and Robotics Group (MLR)
• Visual Artificial Intelligence Laboratory (VAIL)

Careers

Our course equips you with the skills and knowledge to pursue a challenging career. It can open doors to roles in AI software engineering, further study and careers in other industries where an understanding of this area is key.

A particular feature at Oxford Brookes is our in-house research where postgraduate students can gain hands-on experience at the cutting edge of the AI industry. Pursue your interests and increase your employability in a niche AI field from ethics to vision to vehicles. Our current research groups include the Formula Student team and:

• Institute for Ethical AI
• Advanced Reliable Computer Systems (ARCoS)
• Applied Software Engineering and Data Analytics (ASEDA)
• Cloud Computing and Cybersecurity group (CCC)
• Artificial Intelligence and Robotics Group (AIR)
• Visual Artificial Intelligence Laboratory (VAIL)

Entry Requirements

Specific Entry Requirements

To join this course you'll need a 2:2 bachelor's degree in computing, maths, engineering or a science-related subject, in which good programming skills have been developed. Those without a degree in these areas, but who have worked in a related industry, and have good relevant experience and programming skills, can also apply.

If you have no experience or degree in a computing related discipline you should consider our MSc in Computing Science.

For the Postgraduate Certificate Research Project you should provide evidence of experience in research and study methods.

Please also see the University's general entry requirements.

English Language Requirements

If your first language is not English you will require a minimum IELTS score of 6.0 with 6.0 in all components.

OR

An equivalent English language qualification acceptable to the University.

Please also see the University's standard English language requirements.

Pathways Courses for International and EU Students

We offer a range of courses to help you meet the entry requirements for your postgraduate course and also familiarise you with university life in the UK.

Take a Pre-Master's course to develop your subject knowledge, study skills and academic language level in preparation for your master's course.

If you need to improve your English language, we offer pre-sessional English language courses to help you meet the English language requirements of your chosen master’s course.

English Requirements for Visas

If you need a student visa to enter the UK you will need to meet the UK Visas and Immigration minimum language requirements as well as the University's requirements. Find out more about English language requirements.

Terms and Conditions of Enrolment

When you accept our offer, you agree to the Terms and Conditions of Enrolment. You should therefore read those conditions before accepting the offer.

International Qualifications and Equivalences

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How to Apply

Application Process

Apply now

Tuition Fees

Please see the fees note

2025 / 26

2026 / 27

Home (UK) Full Time

• Masters: £9,700; Diploma: £8,700; Certificate: £4,850
• Masters: £9,950; Diploma: £8,950; Certificate: £4,975

Home (UK) Part Time

• £4,850
• £4,975

International Full Time

• £18,950
• £19,600

Questions about Fees?

Contact Student Finance on:

+44 (0)

Funding Your Studies

Financial Support and Scholarships

Featured funding opportunities available for this course.

Part-Time UK Faculty Scholarship Postgraduate Master's Loan - England

The Department of Computing and Communication Technologies awards a limited number of scholarships for its taught postgraduate programmes, which are awarded on a competitive basis to UK, EU and international postgraduates each year.

All Financial Support and Scholarships

View all funding opportunities for this course

Programme Changes

On rare occasions we may need to make changes to our course programmes after they have been published on the website. For more information, please visit our changes to programmes page.

Additional Costs

Please be aware that some courses will involve some additional costs that are not covered by your fees. Specific additional costs for this course are detailed below.

Optional Costs

• Travel and associated costs if relevant when undertaking work placements: £30-700 per year
• It’s your responsibility to cover print / binding costs where coursework submission is required: From £30
• You may choose to purchase books to support your studies: £20-60 per book
• Accommodation fees in Brookes Letting (most do not include bills): £94-265 per week
• Accommodation fees in university halls (bills included, excluding laundry costs): £122-180 per week
• Graduation costs include tickets, gowning and photography: Typically £0-200
• Students are responsible for their own travel to and from university for classes: From £10