The UK AI market is worth more than £16.9 billion, according to the US International Trade Administration. It’s expected to grow to £803.7 billion by 2035. The number of UK AI companies has increased by 688% over the last 10 years, showing rapid expansion. Today, one in six UK organisations uses at least one type of AI technology (source: Global Legal Insights 2025). Launch your career in AI Our MSc in Artificial Intelligence is designed for students from diverse academic and professional backgrounds who want to advance their careers in AI-focused fields. This course explores the theory of a wide variety of AI-related techniques, including: machine learning and deep learning mathematics and statistics for data science programming using Python computer vision and natural language processing. You’ll also gain hands-on experience with the tools and methods used to apply these concepts to real-world challenges. AI internships opportunities We designed this artificial intelligence Masters degree in collaboration with employers to ensure you're equipped with the skills needed for a successful career in AI. The course includes opportunities for internships with technology providers. Past internship placements have included organisations such as Aggreko, Falcon Foodservice, Diageo, and Synaptec. Engage with industry Our academics are engaged in world leading research in AI fields such as complex systems modelling, computer vision, machine learning, and optimisation. We’re a member of The Data Lab Innovation Centre, developing data science talent and skills required by industry. Studying an artificial intelligence Masters at Stirling provides a fantastic opportunity to build your professional network with fellow students and industry experts. You’ll engage with industry through guest lectures and local career events. In the last couple of years, we've had talks from Huawei, Bigspark, Red Star (AI for healthcare), Virtonomy, KBC Group, and Leonardo UK. Gain practical AI experience On our Artificial Intelligence MSc, you get the opportunity to work with academics on ongoing commercially relevant research projects. You can also take part in projects with industry or technology providers. Past projects included companies such as Craft Prospect, OPEX, ST Microelectronics R&D (UK) Ltd, Dukosi Ltd and Canon Medical Research Europe. Watch Rishil's story For students interested in a January start, the course duration is 21 months. For example, students starting in January 2026 will graduate in November 2027. This structure allows for flexible learning and the opportunity to develop other skills during the summer period when teaching is not scheduled.