COURSE CURRICULUM

The MSc in Human and Social Data Science equips students with the skills to use data to understand human behaviour and societal trends while preparing them for careers in data-driven roles across social sciences, business, and digital media. Core modules provide a solid foundation in algorithmic and mathematical approaches, research methods, systems for information management, and machine learning, alongside a dissertation that allows students to apply their knowledge to a project of their choice. Students develop expertise in designing and implementing data science methods, using Python for programming, and applying machine learning and statistical techniques to practical problems. Ethical, legal, and societal implications of data use are central to the program, ensuring graduates can navigate complex issues responsibly. The course also offers flexibility through options that allow students to specialise in areas such as digital media, policy analysis, natural language processing, network science, and AI for global digital policies. Collaboration with industry and engagement with contemporary research enrich the learning experience, providing opportunities to apply data science skills to real-world challenges. Graduates emerge with the technical, analytical, and ethical competencies needed to pursue careers in data science, digital media, policy-making, innovation, and research, equipping them to influence decisions and develop insights across multiple sectors.