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Artificial Intelligence

MSc or PGDip or PGCert

Start dates: September 2024 / September 2025

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

Location: Headington

Department(s): School of Engineering, Computing and Mathematics

Overview
Course details
Careers
Entry requirements
How to apply
Tuition fees

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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.

Attend an open day or webinar Ask a question Order a prospectus

AI project skeleton head

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.

  • 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 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. 

Student building AI project with a screwdriver

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

  • Introduction to Machine Learning (10 credits)

    This module studies the fundamentals of machine learning methodologies, implementations and analysis methods appropriate for machine learning applications. Compulsory for MSc and PG Dip.

  • Foundations of Artificial Intelligence (AI) (10 credits)

    This module teaches the fundamental concepts of AI including classical and modern approaches to AI and the philosophical bases of AI. Compulsory for MSc and PG Dip.

  • Autonomous Intelligent Systems (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 different functionalities. Compulsory for MSc.

  • AI Systems Engineering (20 credits)

    This module provides students with skills to critically evaluate and analyse the application artificial intelligence in the domain of systems engineering. Compulsory for MSc.

  • Data Visualisation (10 credits)

    This module covers state of the art tools and techniques to build useful visualisations for different types of data sets and application scenarios. Compulsory for MSc.

  • Big Data and the Cloud (20 credits)

    The cloud has become a key part of modern life and with it comes vast amounts of data. This module looks at how clouds work and can be used to tackle the big data challenges of modern science and business. Compulsory for MSc.

  • Research, Scholarship and Professional Skills (20 credits)

  • Advanced Machine Learning (10 credits)

    This module equips students with skills to critically evaluate complex machine learning algorithms in different application scenarios. Compulsory for MSc.

Final project

Compulsory modules

  • 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.

  • independent Study II (20 credits)

Please note: As our courses are reviewed regularly as part of our quality assurance framework, the modules you can choose from may vary from those shown here. The structure of the course may also mean some modules are not available to you.

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:

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:

Entry requirements

International qualifications and equivalences

How to apply

Application process


Apply now

Tuition fees

Please see the fees note
Home (UK) full time
Masters £8,700; Diploma £7,700; Certificate £4,350
Home (UK) part time
£4,350
International full time
£17,200
Home (UK) full time
Masters £9,150; Diploma £8,150; Certificate £4,575
Home (UK) part time
£4,575
International full time
£18,050

Questions about fees?

Contact Student Finance on:

financefees@brookes.ac.uk

Tuition fees

2023 / 24
Home (UK) full time
Masters £8,700; Diploma £7,700; Certificate £4,350
Home (UK) part time
£4,350
International full time
£17,200
2024 / 25
Home (UK) full time
Masters £9,150; Diploma £8,150; Certificate £4,575
Home (UK) part time
£4,575
International full time
£18,050

Questions about fees?

Contact Student Finance on:

+44 (0)1865 534400

financefees@brookes.ac.uk

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

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.

Funding your studies

Financial support and scholarships

Featured funding opportunities available for this course.

Full-Time UK Faculty Scholarship 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.