Taught course

Urban Data Science and Analytics

University of Leeds · School of Geography

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Entry requirements

A bachelor degree with a 2:1 (hons) in a subject containing a substantial numerate component. Successful applicants will have strong grades in relevant mathematical modules.

We accept a range of international equivalent qualifications. For more information please contact the Admissions Team. IELTS 6.5 overall, with no less than 6.0 in any component. For other English qualifications, read English language equivalent requirements.

Months of entry


Course content

Our Masters degree in Urban Data Science and Analytics 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, to 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, pollution and competition for resources. Find out more about our Urban Analytics research at Leeds.

Course highlights:

  • Fieldtrips in an urban context will allow 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.
  • You will work closely with external organisations and stakeholders, through co-development of creative solutions to urban problems.
  • You will benefit from exposure to the wide range of urban research ongoing across the University - School of Geography, Institute for Transport Studies, Leeds Institute for Data Analytics and the Alan Turing Institute, the national institute for data science and artificial intelligence.
  • A new seminar series featuring urban researchers and practitioners will consolidate a wider network of urban data scientists and policymakers and provide you with direct routes to the latest research, trends, and opportunities.

On completion of this course, you will have the technical skills and knowledge to secure employment in a range of organisations in roles such as a data scientist, data analyst, or software developer.

Course content:

The course combines technical training in data science with a rich exploration of urban systems and policy, enabling you to create novel data analyses that are informed by a contextual understanding of cities.

Optional modules incorporate deeper training in spatial analysis or transport training, enabling an expansion of disciplinary expertise. These modules will make you more familiar with the types of datasets and problems involved in geographic (e.g. demographic, crime, health) and transport data analyses.

Over the summer months you will work on a 60 credit research project, which brings together learning from each module, requiring you to produce a documented code workbook with a supporting 5000-word policy analysis, highlighting how data science methods can be used to inform policy interventions and decision-making.

Information for international students

Read about visas, immigration and other information in International students. We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.

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