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
page on the Lancaster University website for more details!
An upper-second class honours degree, or its equivalent, in a subject relevant to Computer Science, Mathematics or Statistics
£7,390 per year (UK/EU), £18,100 per year (Overseas)
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