Applied Data Science University of Buckingham

The MSc in Applied Data Science aims to train a new generation of data scientists to meet the growing demand for specialist skills in this field. Data Science has become a new and important discipline of science that has a wide range of applications (e.g. AgriTech, FinTech, HealthTech, EdTech, Transport). It includes solutions that handle big data from capturing, storing, processing, analysing data to visualising insights. These solutions can include data mining, machine learning, advanced analytics, data visualisation and in-database analytics.

Underpinned by the Department's research expertise, a unique feature of the MSc in Applied Data Science programme is the embedding of skills and knowledge relevant to leadership in IT, technology innovation and enterprise, ethics, and research. These skills will be developed through a series of workshops conducted by relevant experts from within the University and from industry.

This programme is a specialist master's programme for first-degree holders in computing-related majors such as computer science, computer engineering or software engineering. The programme consists of 3 common core modules, 3 specialised core modules, a leadership and innovation module, a work placement module, and an individual project. The programme strikes a balance between theory and practical skills, emphasising on technical know-how, innovation and application.

We can offer an intensive delivery model of 1.5 days of contact time per week in order to accommodate those who are in full-time employment.

Full details in the Curriculum Handbook

Entry requirements for this course

Contact University of Buckingham to find course entry requirements.

View foundation and pathway programmes to help you meet academic and language entry requirements.