University of Hull

What you'll study

This programme combines core AI theory with practical, hands-on modules delivered online. Typical topics include machine learning and statistical methods, deep learning, natural language processing, computer vision, optimisation and search techniques, AI ethics and governance, and data management for AI systems. Teaching emphasises implementation and evaluation using contemporary tools and frameworks, with a final substantial project or dissertation that allows you to apply methods to a real-world or research-led problem.

Modules are usually delivered as a combination of recorded lectures, interactive seminars, practical programming labs, and assessed coursework. You can expect assignments that include algorithm development, model training and validation, reproducible experimentation, and critical reflection on societal impacts of AI.

Entry requirements

Applicants typically need a recognised undergraduate degree in computer science, engineering, mathematics, statistics, or a closely related discipline. Candidates with a lower-class honours degree but significant relevant professional experience in software development, data analysis or related roles may also be considered. All applicants whose first language is not English will need to demonstrate proficiency in English to a level appropriate for postgraduate study.

As part of the application you may be asked to provide transcripts, a CV outlining relevant experience, and a personal statement that explains your motivation and any prior programming or quantitative skills. Where necessary, admissions may recommend preparatory reading or bridging modules to ensure you can progress with the cohort.

Career prospects

Graduates leave prepared for roles such as machine learning engineer, data scientist, AI developer, research assistant, or applied AI consultant. The programme’s emphasis on practical development, evaluation and deployment means you can also move into specialist roles in sectors that use AI extensively, including healthcare, finance, manufacturing, robotics and public services. Some students use the MSc as preparation for doctoral study or for in‑house research and development positions.

The online format supports professionals seeking to upskill while working, increasing prospects for internal progression into technical leadership or cross-functional roles that combine domain knowledge with AI capability.

Why study at University of Hull

The University of Hull offers this MSc through an established postgraduate framework with research-informed teaching and support for online learners. The course is designed to be flexible for remote study while maintaining engagement through virtual labs, tutor-led sessions and project supervision. You will benefit from the university’s academic expertise in computing and data-related areas, access to an online learning environment, and central careers and skills services that support CV development and employer links.

Studying online with Hull enables you to balance employment or other commitments with a rigorous postgraduate programme that focuses on contemporary AI practice and its ethical, legal and societal implications.