UCL (University College London)

Course Introduction

Students will become expert in the linkage and analysis of large complex datasets, using techniques which are transforming medical research and creating exciting new commercial opportunities. Graduates will be equipped for roles in the pharmaceutical industry, the NHS and technology start'ups, as well as academia.

Course Modules

Core modules: applications of electronic health records research; data management for health research; statistics for epidemiology and public health; statistical methods in epidemiology; topics in health data science; options: advanced statistics for records research; database systems; information retrieval and data mining; principles of health informatics; statistical computing and data visualisation using R; statistics for interpreting genetic data; understanding bioinformatics resources and their application.

Course Additional Entry

A minimum of an upper 2nd Class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element.

Duration & Attendance Qualification Tuition fees
1 year
Full Time
MSc (Postgraduate) £22,350  Academic year. First year overseas fees
1 year
Full Time
MSc (Postgraduate) £8,755  Academic year. First year home fees
2 years
Part Time
MSc (Postgraduate)
2 - 5 years
Variable
MSc (Postgraduate)
1 year
Full Time
PgCert
2 years
Part Time
PgCert
2 - 5 years
Variable
PgCert
1 year
Full Time
PgDip
2 years
Part Time
PgDip
2 - 5 years
Variable
PgDip