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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 are expected to open in September 2024, but as with any large-scale building project those timescales could change. 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.
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.
Our MSc Artificial Intelligence is an advanced course ideal for students with extensive prior programming experience. You’ll study everything from deep learning and data visualisation to intelligent autonomous systems and cloud computing.
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 from the cloud 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 is continuous and includes:
- coursework exercises
- lab work
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:
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:
Specific 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.
An equivalent English language qualification acceptable to the University.
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
International qualifications and equivalences
How to apply
Questions about fees?
Contact Student Finance on:
Questions about fees?
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.
|Additional costs||Amount (£)|
|Travel and associated costs if relevant when undertaking work placements.||£30-700 per year|
If you are considering bringing your own computer, most of the software we use is on Windows machines though there is some use of Linux. We do not use Apple MacOS and their use is not required but some students do choose to bring MacOS machines so a Mac can be a viable choice if you so wish.
It’s your responsibility to cover print / binding costs where coursework submission is required. Please note that a lot of the coursework is now submitted online.
|You may choose to purchase books to support your studies. Many books on our reading lists are available via the Library, or can be purchased secondhand.||£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. Gowns are not compulsory but typically students do hire robes, starting at £41.
Students are responsible for their own travel to and from university for classes. BrookesBus travel is subsidised for full-time undergraduate students that are on a course with a fee of £9,250 or more, or living in an Oxford Brookes hall of residence. There is an administration fee for the production of a BrookesKey.
Financial support and scholarships
Featured funding opportunities available for this course.
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.