MSc Applied Data Science

University of Buckingham

Build your expertise in Data Science, the vital scientific discipline with transformative applications across key sectors, from Finance and Information Technology to Healthcare and Education. Whether you want to become a data scientist, develop expertise in AI and analytics, or, lead data-driven decision-making, the MSc programme has been designed to ensure you develop the advanced skills needed to thrive in the rapidly evolving field of data science. As organisations increasingly rely on complex data to understand behaviours, improve strategic decisions and drive innovation, demand is growing for professionals with advanced expertise in data mining, machine learning, AI and data analytics who can deliver data-driven transformations. Combining technical expertise with analytical, leadership and professional development, the programme prepares you and experienced practitioners alike to turn complex data into actionable insights, create organisational value and contribute to strategic decision-making. A distinctive feature of your studies is the integration of knowledge and skills in leadership, technology innovation and enterprise, ethics, and research. These are developed through workshops led by experts from the University as well as industry, allowing you to gain insightful teachings from invaluable sources. The degree balances theory with practical application, developing critical understanding, technical expertise, innovation and transferable skills for applying data science effectively in professional settings. The School of Computing’s Industry Advisory Board is foundational to our curriculum development. We work closely with board members to co-design our programmes and refine our courses in response to real-world demands. The programme is enriched by contributions from industry practitioners and external experts. Their first-hand experience provides students with current perspectives on industry practice, emerging technologies and real-world challenges, helping to connect academic learning with professional practice.

Computing