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  • DeadlineStudy Details: 1 year full-time, up to 2 years full-time with professional placement - multiple intakes

Masters Degree Description

This course aims to respond to the ongoing demand for data professionals and prepare you to drive innovation and tackle complex challenges across various sectors.

The course includes:

  • live coding sessions
  • hands-on experience with modern data management and analysis tools
  • problem-based learning
  • research-informed teaching from research staff within the Centre for Computational Science and Mathematical Modelling
  • free one-on-one tutoring and resources in mathematics and statistics, ensuring a strong foundation in these essential areas.

Start dates:

  • March 2026
  • May 2026
  • July 2026
  • September 2026

Entry Requirements

An honours degree 2:2 or above (or international equivalent) in any discipline.

We recognise a breadth of qualifications; speak to one of our advisers today to find out how we can help you.

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Fees

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

Programme Funding

A range of financial support is available for postgraduate study including loans, flexible payment options, discounts and scholarships.

Student Destinations

Successful graduates could seek positions as:

data scientist
data analyst
data engineer
data architect
data analytics specialist
database administrator
machine learning engineer
business intelligence analyst
applied statistician.

Module Details

Programming for Data Science - 30 credits
Data Analytics — 30 credits
The Data Science Professional — 30 credits
Machine Learning and Big Data — 30 credits
Master's with professional placement
Individual Research Project - 60 credits

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