The MSc Data Science with Artificial Intelligence (AI) programme is an industry-focused course designed to develop expertise in AI, data science, analytics, and business intelligence. It provides hands-on experience, enabling learners to build skills in statistics, big data, ethics, and data visualisation, preparing them for careers in data-driven and AI-focused industries.

The course has been developed to meet current employer needs. It covers key topics such as applied statistics, big data technologies and ethics, applied artificial intelligence, and business intelligence and data visualisation.

Throughout the programme, students gain practical experience using industry-standard tools and technologies. This hands-on approach helps build confidence and ensures graduates are well prepared to contribute effectively in professional environments.

The course also incorporates insights from external experts, who enhance the learning experience through guest lectures, masterclasses, seminars, and career-focused sessions.

By the end of the programme, graduates will have advanced expertise in AI, enabling them to design, evaluate, and apply intelligent models to real-world problems. They will develop strong analytical and statistical skills to interpret complex datasets and support evidence-based decision-making. They will also gain an in-depth understanding of modern data technologies and ethical considerations, preparing them to work responsibly with large-scale data.

In addition, graduates will be able to design effective data visualisation and business intelligence solutions, contribute meaningfully to data-driven projects and research, and apply advanced technical, problem-solving, and collaborative skills in professional settings.

Upon completion, graduates can pursue careers across a range of attractive and growing fields. These include roles such as data scientist, AI specialist, machine learning engineer, and data analyst. Opportunities are also available in data-driven industries, including roles such as data engineer, business intelligence developer, and insight analyst, as well as in emerging areas like AI consultancy, big data engineering, and predictive modelling.