Course Overview This interdisciplinary programme provides a solid foundation in data analytics and artificial intelligence. Primarily delivered by the School of Mathematical Sciences, the course also offers students the flexibility to select modules from the Business School. The unique curriculum is designed to demonstrate how diverse approaches in AI and data analytics can be applied to decision-making within modern, data-rich environments.

In addition to the core data analytics components, the programme offers specialized pathways in:

• Modelling and AI for health sciences and pharmacology • Data-driven techniques for business analytics • Statistical machine learning and AI

The flexible structure allows students to either specialize in a specific field or maintain a broader focus, ensuring their education aligns with their specific career goals and interests.

Skills and Development Throughout the course, students develop a robust mathematical foundation alongside practical, interdisciplinary skills. The curriculum emphasizes the theory behind data analytics and AI, providing deep insight into the "why" behind specific algorithms and methods. This theoretical grounding is then applied to solving complex, real-world challenges.

Who is this course for? This programme is designed for a diverse range of backgrounds, including:

• Aspiring Data Professionals: Individuals seeking careers in data science, machine learning, and AI. • STEM Graduates and Professionals: Those looking to enhance their technical data skills to solve industry problems. • Industry Professionals: Career-driven individuals aiming to master modern statistics and AI techniques.