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Data Science and Analytics MSc

Key information

Qualification type

MSc - Master of Science

Subject areas

Informatics Data Analysis

Course type


Course Summary

The Data Science and Analytics MSc is a highly flexible course which offers you the opportunity to develop a range of skills through a combination of compulsory and optional modules, including:

  • analysing structured and unstructured data
  • analysing large datasets
  • critically evaluating results in context
  • getting insights from data

The course combines expertise from the Schools of Computing, Geography and Mathematics with that of Leeds University Business School. By choosing the appropriate modules, you can follow specific pathways in business management or geographic information systems (GIS).

This collaboration allows you to benefit from a range of data science perspectives and applications, allowing you to tailor the course to match your own career ambitions. The programme will equip students with the knowledge and skills they need to meet the challenges of data science in the modern world. Students on this programme will be benefit from being taught by experts from different academic units: the School of Mathematics; the School of Computing; the School of Geography and Leeds University Business School.

Career opportunities

There is increasing demand for individuals who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics as well as a range of sector specific skills.

The emerging era of ‘big data’ brought about by the digital technology revolution shows no signs of abating. With the modern world producing ever-growing amounts of new information, data scientists will become increasingly important to help governments, businesses, researchers, NGOs and many other organisations make sense of it all.

Different course options

Study mode

Full time


1 year

Start date



This module will develop skills which will be useful preparation for the dissertation, potential further research, and in employment. This will include presentation skills and teamwork, some of which will be developed through real-life case studies. This module is intended to: (i) prepare students for their dissertation by teaching independent learning skills; (ii) improve employability through the use of teamwork, and improving oral and written communication skills. This will be done through a series of mini-assignments, including the use of real-world case-based projects in data science.

Tuition fees

UK fees
Course fees for UK / EU students

Please contact university and ask about this fee

Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

Please contact university and ask about this fee

Average for all Postgrad courses (per year)


Entry requirements

Students need a 2:1 (hons) bachelor degree with a substantial numerate component. This may include degrees in mathematics, statistics, economics, engineering, or a physical science subject. We accept a range of international equivalent qualifications.