Our MSc Data Science programme offers students the opportunity to gain the skills needed to succeed in Data Science and to shape their learning according to their interests.
The MSc in Data Science comprises a set of core data science modules and allows students to develop a specialism in either Computing or Statistical Inference. Subject to pre-requisites, students may opt to select their optional module choices to cross specialisms, according to background knowledge and career aspirations.
Do you want to develop skills in the emerging discipline of Data Science? Building upon a data science core set of modules, you can choose to specialise in Computing or Statistical Inference, build on your first degree, or select modules spanning the specialisms. Our Data Science offerings are unique in the sector and have been developed in conjunction with colleagues in the School of Computing and Communications, the Department of Mathematics and Statistics, Lancaster Environment Centre, Lancaster University Management School and CHICAS in the Faculty of Health and Medicine.
Students study core topics (75 credits) including:
- research methodology
- computer programming
- data sourcing and management
- statistical modelling and inference
- the use of computing technology to handle large and complex data sets
A variety of routes through the MSc are then available. You can choose from a range of elective modules (45 credits) according to your skills, interests and career aspirations. These modules are grouped into the following themes:
- Population Health
- Business Intelligence
You will then undertake a 12-week summer placement either within an industry in a business setting, or as part of an academic research project (dissertation 60 credits). This course will prepare you for a direct entry into careers as data scientists or for research leading to a PhD. The MSc course is designed to be studied full-time over one year, but part-time study over two years is possible.