COURSE CURRICULUM

The BSc Data Science degree at Aberystwyth University offers a rigorous and well-rounded curriculum that integrates mathematics, statistics, and computer science to prepare students for the demands of the data-driven world. In the first year, students build a solid foundation in core mathematical and programming concepts through modules such as Algebra, Calculus, Further Algebra and Calculus, Mathematical Analysis, Probability, and Statistics. Complementing the mathematical content are computing modules like Introduction to Computer Infrastructure, Introduction to Programming, and Object-Oriented Programming, which provide essential technical skills for data manipulation and software development.In the second year, the focus deepens with more advanced topics that blend theoretical understanding and practical application. Students study Algorithm Design and Data Structures, Linear Algebra, Distributions and Estimation, and Applied Statistics. Modules like Modelling Persistent Data, Software Engineering, and Introduction to Numerical Analysis expose students to real-world problem-solving using computational and data-driven methods, further enhancing their readiness for data science roles.In the final year, students undertake a Major Project and a Minor Project, applying their knowledge to practical and research-based challenges. Key modules include Machine Learning, Statistical Inference and Linear Models, and Linear Statistical Models. Optional modules such as Comparative Statistical Inference, Graphs and Networks, Stochastic Models in Finance, Topics in Biological Statistics, and Probability and Stochastic Processes allow students to specialise according to their interests and career goals. These modules reflect current trends in data science, providing analytical techniques applicable in fields such as finance, biology, and computer science.Graduates from this program are equipped with a robust skill set in statistical modelling, programming, and data analysis, making them well-prepared for a wide range of roles in industries such as technology, finance, healthcare, and research. The program also offers a strong foundation for postgraduate studies in data science, statistics, or artificial intelligence.