COMP7037
20 credits
This module is designed to equip you with the tools necessary for the scholarship and research skills needed for the computer science and cyber security fields...
Artificial Intelligence
MSc, PGDip, PGCert
Deepen your understanding of artificial intelligence and develop specialist approaches to designing and evaluating intelligent systems.
Key facts
- Duration
- Full time: Full time: MSc - 1 year (12 months); PG Dip - 6 months; PG Cert - 3 months
- Part time: Part time: MSc - 2 years (24 months); PG Dip - 18 months (12 months study time); PG Cert - 6 months
- Starts
- September 2027
- Level
- Master's and postgraduate
- Course code
- MSC-AI
- Location
- Headington
- School
- School of Engineering, Computing and Mathematics
About this course
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.
New State-of-the-art facilities
All Computing courses are based in new, custom designed buildings at our main Headington site. 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.
Research expertise
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:
Entry requirements
Entry requirements
| Qualification | Typical offer |
|---|---|
| IELTS | IELTS 6.0 overall with 6.0 in all skills. For more information, please see our English language 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.
Fees and funding
Fees
| Fee types | 2026/27 | 2027/28 |
|---|---|---|
| Home full-time | £9,950, £8,950 (PGDip), £4,975 (PGCert) | £10,250, £9,250 (PGDip), £5,125 (PGCert) |
| Home part-time | £4,975 | £5,125 |
| International full-time | £19,600 | £20,800 |
Fees quoted are for the first year only. If you are studying a course that lasts longer than one year, your fees will increase each year.
The following factors will be taken into account by the University when it is setting the annual fees: inflationary measures such as the retail price indices, projected increases in University costs, changes in the level of funding received from Government sources, admissions statistics and access considerations including the availability of student support.
How and when to pay
Tuition fee instalments for the semester are due by the Monday of week 1 of each semester. Students are not liable for full fees for that semester if they leave before week 4. If the leaving date is after week 4, full fees for the semester are payable.
- For information on payment methods please see our Make a Payment page.
- For information about refunds please visit our Refund policy page.
Questions about fees?
Learning and assessment
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.
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.
Year 1
Compulsory modules
COMP7040
20 credits
This module equips you with the knowledge and critical understanding how Autonomous Intelligent Systems are employed in a wide range of environments with...
COMP7035
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...
COMP7036
20 credits
This module will introduce you with the fundamental statistical concepts required to model and analyse data.
COMP7034
20 credits
The module aims to provide you an introduction to the key concepts in data mining and machine learning. It covers the fundamentals of machine learning...
COMP7029
20 credits
On this module you will focus on current practices, skills and techniques applied to managing software development related projects, individually and in project...
COMP7039
60 credits
This module is an individual research and development project that allows you to study a topic of your choice in depth, guided by your supervisor. The work may...
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:
Study Computing
How to apply
Our courses are reviewed regularly as part of our quality assurance framework, so module availability and course structures may vary from what is listed here. On rare occasions, we may also need to make updates to our course programmes after publication; for full details, please visit our changes to programmes page (opens in a new tab)