MSc Data Science

You will need:

a minimum 2:2 in a numerate, scientific or computer-based subject

an A level, or equivalent, in Mathematics at Grade C or more

Additional information:

RPL is not accepted on this programme

IELTS 6.5 (minimum 6.0 in each component)

If you have any specific queries, please contact fetadmissions@ljmu.ac.uk

For fees and funding options, please visit website to find out more

There are many ways to fund postgraduate study for home and international students. From loans to International Scholarships and subject-specific funding, you’ll find all of the information you need on our specialist postgraduate funding pages.

Please be aware that the UK’s departure from the EU may affect your tuition fees. Learn more about your fee status and which tuition fees are relevant to you.

LJMU has an excellent record with 96% (HESA 2018) of our postgraduates in work or further study six months after graduation. Our applied learning techniques and strong industry connections ensure our students are fully prepared for the workplace on graduation and understand how to apply their knowledge in a real world context.

This programme is particularly focussed on preparing you for a career in industry or for PhD level study.

​Data science is a growing area of demand with a predicted scarcity of expertise forecast over the next decade. LJMU has strong links with many graduate employers of data scientists who value the skills developed in the course such as accessing, manipulating and drawing insight from large volumes of complex data; assimilating information from the research literature and scientific and technical writing.

Introduction To Data Analytics

20 credits

This module aims to provide an introduction to the key concepts of data compilation, management, querying, cleaning and visualisation.

Statistical Methods In R

20 credits

This module provides an introduction to key concepts in statistics and statistical computing using the R programming language, with an emphasis on the informed interpretation of the results of statistical testing.

Big Data Computing

20 credits

This module aims to develop skills in modern computing techniques for high performance analysis of large data sets. It also provides an understanding of how to translate an analysis problem to best exploit such techniques.

Research Methods In Data Science

20 credits

This module aims to equip you with the research skills necessary to undertake your dissertation project. It covers the preparation of a research proposal or a business case (depending on the academic/industrial context), consideration of ethical and legal issues, literature review, oral and written presentation skills and project management.

Data Mining

20 credits

This module aims to develop skills in data mining, using methods from computational learning theory and artificial intelligence to extract previously unknown relationships from large data sets.

Big Data Analysis

20 credits

This module aims to develop skills in big data analysis, including techniques of dimensionality reduction and the application of statistical and machine learning models. In addition it aims to develop the key skill of working with experts from other domains.

Data Science Project

60 credits

This module allows you to display all of the skills learnt on the programme and give you the opportunity to demonstrate creativity, initiative, ingenuity and communication in an academic context.