2019 start

Data Analytics

Department of Computer Science, Faculty of Engineering

Our project-based courses give you valuable hands-on experience. We teach you how to apply what you learn in business and industry, anywhere in the world.
Three Computer Science postgraduates at table

Course description

The MSc Data Analytics is designed for students with a numerate background (for example first degree in Mathematics, Economics, Accounting, 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.

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 2019. 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 & Adaptive Intelligence (in Python)
  • Natural Language Processing
  • Industrial Team Project
  • Individual Data Analytics Dissertation
  • Professional Issues
  • Statistical Data Science in R

Optional modules

Students have the option to take either Computer Security and Forensics, or Parallel Computing with Graphical Processing Units (GPUs).


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 (mathematics, economics, accounting, engineering, physics, chemistry) and A Level mathematics.

English language requirements

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

Entry requirements for international students


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.