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.