• University of Glasgow Featured Masters Courses
  • University of Leeds Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • Regent’s University London Featured Masters Courses
  • Swansea University Featured Masters Courses
  • Leeds Beckett University Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • University of York Featured Masters Courses
London School of Hygiene & Tropical Medicine Featured Masters Courses
University of St Andrews Featured Masters Courses
Barcelona Executive Business School Featured Masters Courses
University of Hertfordshire Featured Masters Courses
FindA University Ltd Featured Masters Courses

Data Science


Course Description

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

Modules
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

Visit the Data Science page on the Lancaster University website for more details!

Entry Requirements

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

Course Fees

£7,390 per year (UK/EU), £18,100 per year (Overseas)


Email Enquiry

Recipient: Lancaster University

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully



Share this page:

Cookie Policy    X