Urban Data Science and Analytics
Basic Information
- Course ID
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ffbc5990-6f48-4c72-b278-d4da739f0c0b- Provider
- University of Leeds
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/26/2026, 1:53:56 AM
- Updated
- 3/28/2026, 10:48:21 AM
Other Options for this Course
No other options
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"suggest": "Urban Data Science and Analytics. University of Leeds. Data-processing management. Geographical information systems",
"summary": "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.\n\nOur 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.\n\nThe 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.\n\nAt 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.\n\nThis 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. \n\n**Why study at Leeds:** \n- 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. \n\n\n- 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. \n\n\n- 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.\n\n\n- 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. \n\n\n- 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. \n\n\n- 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. \n\n\n- Build your industry connections through working with external organisations and stakeholders, co-developing creative solutions to urban problems. \n\n\n- 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.\n",
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"scrapedLanguageRaw": "English language requirements\nIELTS 6.5 overall, with no less than 6.0 in any component.. For other English qualifications, read English language equivalent qualifications.\nInternational students who do not meet the English language requirements for this programme may be able to study our postgraduate pre-sessional English course, to help improve your English language level.\nThis pre-sessional course is designed with a progression route to your degree programme and you’ll learn academic English in the context of your subject area. To find out more, read Language for Science (6 weeks) and Language for Science: General Science (10 weeks).\nWe also offer online pre-sessionals alongside our on-campus pre-sessionals. Find out more about our six week online pre-sessional and our 10 week online pre-sessional.\nYou can also study pre-sessionals for longer periods – read about our postgraduate pre-sessional English courses.",
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"scrapedEntryRequirements": "Entry requirements A bachelor degree with a 2:1 (hons) Full entry requirements ApplyingEntry requirementsA bachelor degree with a 2:1 (hons) in a subject including, but not limited to, geography, urban planning, engineering, land resource, statistics, data science, information management, transport or computer science, where quantitative and/or computing skills can be evidenced. Alternative subjects which may be considered include, but are not limited to, architecture, finance, mathematics or psychology. All applicants should possess an interest in using data science to tackle real-life urban challenges. Applicants with a 2:2 (hons) will be considered on a case-by-case basis where they can demonstrate relevant work experience or competence in a relevant specialist field. Professional qualifications and relevant experience can also be considered. InternationalWe accept a range of international equivalent qualifications. For more information, please contact the Admissions Team.English la"
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