Taught course

Data Science

Lancaster University · Computing

Entry requirements

An upper-second class honours degree, or its equivalent, in a subject relevant to Computer Science, Mathematics or Statistics.

Business Analytics; Data Mining; Health Informatics; Systems and Technologies; Statistical Inference

Months of entry


Course content

This interdisciplinary MSc is aimed at students who wish to develop skills in the emerging discipline of Data Science. Building upon data science fundamentals, a variety of pathways through the MSc are available and allow students to choose from a range of elective modules according to their skills, interests and career aspirations. Students then undertake a 12-week summer placement either within industry (in a business setting), or as part of an academic research project to consolidate their learning.

Optional pathways span fundamentals and also application areas including:

· Business Analytics: how to gain business insight from large and complex industrial data

· Data Mining: how data mining can be performed at scale, and in a range of application areas (eg marketing and finance, social computing)

· Health Informatics: how to build models and gain insight to improve public health and aid clinical decision making

· Systems and Technologies: how to build large-scale systems for answering data science questions

· Statistical Inference: how to specify models and build a statistical framework to gain insights from data


Core modules:

· Data Mining

· Data Science Fundamentals

· Generalised Linear Models

· Likelihood Inference

· Programming for Data Scientists

Optional (elective) Modules:

· Applied Data Mining

· Clinical Trials

· Data Mining for Marketing, Sales and Finance

· Elements of Distributed Systems

· Environmental Epidemiology

· Extreme Value Theory

· Forecasting

· Longitudinal Data Analysis

· Methods for Missing Data

· Multi-level Modelling

· Optimisation and Heuristics

· Principles of Epidemiology

· Statistical Genetics and Genomics

· Survival Analysis

· Systems Architecture and Integration

Information for international students

IELTS: 6.5 or equivalent.

Fees and funding

UK students
£8500 per year
International students
£19500 per year


Qualification and course duration


full time
12 months

Course contact details

Postgraduate Coordinator
+44 (0) 1524 510515
+44 (0)1524 510492