Oxford Brookes University

What you'll study

The programme combines core machine learning and AI theory with hands-on development and a substantial independent project. You will study foundations such as statistical learning, optimisation and probabilistic models before moving on to applied topics and contemporary techniques.

• Core modules typically include:
  • Machine Learning and Statistical Methods
  • Deep Learning and Neural Networks
  • Natural Language Processing and Information Retrieval
  • Computer Vision and Image Analysis
  • Reinforcement Learning and Sequential Decision Making
  • Probabilistic Modelling and Bayesian Methods
  • AI Systems, Big Data and Cloud Platforms
  • Ethics, Governance and Legal Aspects of AI
• Research methods and professional skills:
  • Research Methods and Project Management — preparing you to plan and deliver a substantial piece of independent work
  • Software engineering practices for AI, including reproducible research, version control and deployment
• MSc project / dissertation:

  The programme culminates in a major individual project where you apply AI techniques to a research question or an industrially relevant problem. Projects often involve datasets, model development, evaluation and written and oral dissemination of results.

Entry requirements

Applicants are normally expected to hold a UK second-class honours degree (2:1) or equivalent in computer science, engineering, mathematics, statistics, physics or a closely related discipline. Candidates with relevant professional experience and a good numerate background may also be considered.

Prior programming experience (for example in Python) and familiarity with core mathematical concepts such as linear algebra, probability and calculus are required for successful study on the programme. Applicants whose first language is not English must demonstrate proficiency through a recognised English language qualification.

Applications are assessed on academic records, references and, where appropriate, interview or coding tasks to demonstrate readiness for graduate-level study in AI.

Career prospects

Graduates go on to roles that design, implement and evaluate AI systems across sectors. Typical job titles include AI / Machine Learning Engineer, Data Scientist, Research Engineer, NLP Engineer, Computer Vision Engineer and Intelligence Analyst. Many alumni work in technology, finance, healthcare, automotive, robotics and public sector organisations, while some continue to further research or PhD study.

The programme emphasises employability through practical projects, industry-aligned case studies and the development of transferable skills such as model evaluation, software development, data handling and ethical reasoning.

Why study at Oxford Brookes University

Oxford Brookes combines teaching rooted in current research with a strong focus on applied, hands-on learning. You will benefit from staff who are active in computing and AI research, access to well-equipped computing labs and cloud resources, and opportunities to work on collaborative projects with local and national partners.

Located in Oxford, the university offers proximity to a dense cluster of technology companies, research institutes and start-ups, which supports networking, project collaborations and placement opportunities. Careers and enterprise services provide additional support for CVs, interview preparation and employer engagement to help transition into AI roles after graduation.