Master of Science - Data Science (G490)

Data Science is a rapidly growing interdisciplinary area, with applications in business, government, public health, and the sciences. Its applications range from identifying customers’ buying patterns and monitoring machinery to tracking the spread of a disease and logging and improving an individual's health. There is therefore a huge unfilled demand for graduates with skills in ‘Big Data’. In the first two semesters, students will undertake a number of core modules. These module include: • Machine Learning for Intelligent Systems • Applied Data Mining (offered by the Department of Computer Science) • Statistical Techniques for Large Data Sets (offered by the Department of Mathematics). This provides excellent opportunities to benefit from expertise in both departments.

In the third semester, students will complete a supervised master’s project and dissertation, worth 60 credits. Assessment is a mix of written assignments, programming assignments, practical portfolios, practical examinations and written examinations. The successful submission of the research dissertation in semester three leads to the award of an MSc.