COURSE CURRICULUM

The MSc Data Science and Advanced Computing at the University of Reading provides a structured curriculum that builds strong foundations in programming, artificial intelligence, and advanced data systems. The programme begins with Applied Data Science with Python, where students develop practical programming skills and gain hands-on experience using Python for real-world data analysis tasks. Artificial Intelligence and Machine Learning introduces modern AI and ML techniques, enabling students to build models, solve problems, and communicate findings through technical reports. The Research Project forms a key component of the degree, allowing students to conduct independent investigations and apply data science methods to a specialised topic of interest. Big Data and Cloud Computing focuses on the design and management of large-scale data systems and network-based computing platforms, while also developing professional skills such as documentation and project management. Data Science Algorithms and Tools provides knowledge of data analytics workflows, mining techniques, and applied problem-solving using real datasets. Data Security and Ethics explores cybersecurity principles, legal frameworks, ethical considerations, and responsible data use, supported by real-world case studies. Mathematics and Statistics for Data Science strengthens essential analytical foundations required for modelling and interpretation. Overall, the programme equips students with technical expertise, ethical awareness, and research capability, preparing them for careers in data science, AI, and advanced computing industries.