University of Strathclyde

What you'll study

The programme combines core modules in machine learning and AI with applied options and a substantial individual project. You will study foundational topics such as supervised and unsupervised learning, deep neural networks, probabilistic modelling and reinforcement learning, alongside applied subjects including natural language processing, computer vision and data engineering for AI.

• Core modules (examples): Machine Learning, Deep Learning, Algorithms for AI, AI Systems and Deployment.
• Applied modules (examples): Natural Language Processing, Computer Vision, Reinforcement Learning, Big Data Analytics and Scalable AI.
• Professional and ethical practice: modules covering AI ethics, safety, regulation and the societal implications of intelligent systems.
• Project: a substantial individual or group research/industrial project where you apply methods to a practical problem, producing a dissertation and demonstrator. Projects can be laboratory-based, industry-linked or research-led.

The course is delivered through lectures, labs and practical classes, supported by access to high-performance computing resources and relevant software stacks. Assessment is by a combination of coursework, practical assignments, examinations and the final project.

Entry requirements

Applicants are normally expected to hold a good honours degree (UK 2:1 or equivalent) in computer science, artificial intelligence, software engineering, mathematics, statistics, electrical/electronic engineering or a closely related discipline. Candidates with a lower classification plus relevant professional experience or strong demonstrable programming and mathematical ability may also be considered.

Applicants should have practical programming skills (for example in Python) and familiarity with basic probability, linear algebra and calculus. International applicants will need to meet the University's English language requirements; typical offers request a recognised English qualification at a level appropriate for postgraduate study.

Career prospects

Graduates move into a wide range of technical roles across industry and research. Common job titles include AI engineer, machine learning engineer, data scientist, research engineer, computer vision engineer and natural language processing specialist. The degree also provides a route into PhD study for those interested in academic research.

Alumni work in sectors such as technology and software development, finance and banking, healthcare and medical devices, autonomous systems and robotics, energy and utilities, and government or public sector analytics teams. The emphasis on applied projects and deployment prepares students for roles that require end-to-end development and integration of AI solutions.

Why study at University of Strathclyde

The University of Strathclyde has a long-standing focus on applied research and strong links with industry, providing opportunities for collaboration, guest lectures and project partnerships. The Department of Computer and Information Sciences is research-active in areas closely aligned to AI, and students benefit from access to specialist computing facilities and technical support.

Studying in Glasgow brings access to a growing regional technology ecosystem and a network of companies ranging from start-ups to multinational firms. The programme emphasises employability and practical skills, with staff experienced in both academic research and industrial applications of AI, supporting students preparing for technical careers or further research.