2020 start

Data Analytics

Department of Computer Science, Faculty of Engineering

This course will develop your skills in analysing big data sets so that you can transform the information into actionable knowledge.
Three Computer Science postgraduates at table

Course description

The MSc Data Analytics is designed for students with a numerate background (for example a first degree in mathematics, economics, engineering, physics or chemistry) as well as graduates already working in industry. 

The programme focuses on managing vast amounts of information and transforming it into actionable knowledge. It teaches the key skills that are required to carry out practical analysis of the types of data sets that need to be interpreted in the modern world. These include large data sets as well as structured and unstructured data. The programme makes use of techniques developed within a range of disciplines, including computer science, artificial intelligence, mathematics and statistics.

Teaching and learning changes for 2020-21

Due to the coronavirus pandemic we have made some changes to teaching and learning for this course in the 2020-21 academic year.

Applying for this course

Due to the popularity of this course we have introduced a staged admissions process to assess applications for entry in September 2020. You'll still apply in the usual way, using our Postgraduate Online Application Form.

Apply now


Core modules

  • Scalable Machine Learning
  • Text Processing
  • Machine Learning and Adaptive Intelligence
  • Natural Language Processing
  • Industrial Team Project
  • Individual Data Analytics Dissertation
  • Professional Issues
  • Statistical Data Science in R

Optional modules

  • Computer Security and Forensics
  • Parallel Computing with Graphical Processing Units (GPUs)
  • Modelling and Simulation of Natural Systems
  • Network Performance Analysis
  • Web Technologies


We use lectures, tutorials and group work.


Assessment is by formal examinations, coursework assignments and a dissertation.


1 year full-time

Ashleigh Randall, postgraduate student from the Department of Computer Science

Within 3 months of starting the course I secured a graduate placement as a Technology Analyst at Barclays for after my masters, which I would not have got if I had not studied this course!

Ashleigh Randall
MSc Data Analytics

Entry requirements

Minimum 2:1 honours degree in a numerate discipline (computer science, mathematics, economics, engineering, physics, chemistry).

English language requirements

Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent.


We use a staged admissions process to assess applications for this course. You'll still apply for this course in the usual way, using our Postgraduate Online Application Form.

Apply now


+44 114 222 1800

The course information set out here may change before you begin, particularly if you are applying significantly in advance of the start date.