Taught course

Urban Data Science and Analytics

University of Leeds · School of Geography

Entry requirements

A bachelor degree with a 2:1 (hons) in a relevant subject. Those with a background in geography, urban planning, transport, or computer science, or who can demonstrate good quantitative and/or computing skills, are particularly encouraged to apply.

Applicants who do not meet the above requirement but can demonstrate several years of professional experience in a relevant field will also be considered. In this case, please contact the Admissions Team to discuss your suitability for the programme.

All applicants must have an interest in learning how to apply data science to tackle real-life urban challenges.

We accept a range of international equivalent qualifications.

Months of entry


Course content

Urban data science and analytics are critical to helping cities evolve, providing invaluable insight into urban processes, dynamics within cities, and highlighting local and global issues. This is why specialists in this field are highly sought after within the public and private sectors to help address these issues and contribute to solutions in future planning.

Our Urban Data Science and Analytics MSc offers you the opportunity to gain in-depth knowledge of the methods and approaches of data science and learn how to apply them in understanding cities and setting urban policy.

The course will combine technical training in the latest data science techniques – from data wrangling to machine learning, visualisation, and beyond – with the critical thinking needed to interrogate and understand complex urban and mobility challenges.

At the heart of this course will be a commitment to tackling the real-world challenges facing cities. Researchers at the University of Leeds are finding novel data-driven solutions to tackle challenges such as traffic congestion, social and economic equality, healthy cities, and competition for resources.

This means, once you graduate, you’ll be fully equipped with the experience, technical skills, and knowledge needed to pursue a career in this area, with roles in everything from data science to software development or urban planning.

Why study at Leeds:

  • Learn the latest innovations in critical areas of urban analytics with exposure to our impactful research ongoing across the university from the School of Geography, the Institute for Transport Studies, the Leeds Institute for Data Analytics and the Alan Turing Institute, the national institute for data science and artificial intelligence which feeds directly into the course.
  • Advance your skills and knowledge in key topics sought after in industry, including programming for data science, creative coding for urban problems and analytics for urban policy.
  • Tailor the course to suit your career aspirations with a selection of optional modules in areas like geographic data visualisation, geodemographics and transport data science.
  • Conduct your own project work which will enable you to develop transferable skills as a researcher, investigating a real-world issue that explores and develops your interests.
  • Access specialist facilities which will complement your learning including research-grade laboratories in the Leeds Institute for Data Analytics, as well as an excellent GIS computer cluster with industry-standard software.
  • Experience expert theoretical and practical teaching delivered by a programme team of academics who are actively engaged in ground-breaking research and part of the Centre for Spatial Analysis and Policy research group, Leeds Institute for Data Analytics and the Alan Turing Institute.
  • Build your industry connections through working with external organisations and stakeholders, co-developing creative solutions to urban problems.
  • Put theory into practice with exciting fieldwork opportunities in an urban context, allowing you to observe first-hand how data science can be used to create and shape urban policy and how policies in turn impact urban systems and processes.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

School of Geography Postgraduate Admissions Team