COURSE CURRICULUM

The Data Science MSc with Advanced Practice is structured to provide students with comprehensive technical and practical skills in data analysis and computing, preparing them for careers in data science, analytics, and related fields. In the first year, students undertake core modules covering research methods and project management, principles of data science, Big Data and Cloud computing, advanced databases, statistical programming, and machine learning, alongside academic language support for international and EU students. These modules provide a strong foundation in both theoretical concepts and practical techniques, including programming in Python and R, data management, analytical methods, and the application of statistical and machine learning approaches to complex datasets. In the second year, students complete a major project, the MSc Computer Science and Digital Technologies Project, allowing them to specialise in a chosen area and apply their learning to real-world data problems. Additionally, the Advanced Practice semester provides an opportunity to gain valuable work experience through an internship, research placement, or industry-based project. This hands-on experience enhances employability and allows students to consolidate their skills in a professional environment. By combining rigorous academic study with practical experience, the program equips graduates with the expertise, confidence, and professional competence required to excel as data scientists and IT professionals in diverse sectors.