Enter OTP
The MSc Urban Data Science and Analytics at the University of Leeds is a 12-month, full-time, on-campus program designed to develop advanced data science skills specifically for urban systems and policy.
The program integrates machine learning, spatial data science, data wrangling, and visualisation with a focus on solving real-world urban challenges such as traffic congestion, health disparities, inequality, and resource competition.
Students engage in fieldwork, industry-linked projects, and hands-on coding exercises, preparing them for diverse roles in urban analytics and smart city planning.
Course Overview:
Data Science for Practical Applications
Creative Coding for Real-World Problems
Analysing Cities
Analytics for Urban Policy
Urban Data Science Project
Optional: Geographic Data Visualisation & Analysis, Geodemographics and Neighbourhood Analysis, Transport Data Collection and Analysis, Transport Data Science
Teaching: Delivered via workshops, seminars, labs, lectures, team projects, and digital platforms.
Assessment: Assessed through coding portfolios, critical analysis, team projects, and a final urban data science project.
Urban field courses with real-world data collection and analysis.
GitHub-based coding portfolios, project work, and team-based assessments.
Industry-informed curriculum with strong public and private sector links.
Access to advanced labs, GIS clusters, and cutting-edge urban analytics software.
Graduates secure roles in government, urban planning, transport, and software development sectors.
Preparation for PhD study in urban data science, smart cities, and geospatial analytics.
Strong industry network supports job placements and collaborative projects.
Career development supported by Leeds’ employer connections and practical project work.
Entry Requirement: A bachelor degree with a 2:1 (hons)IELTS: 6.5 overall, with no less than 6.0 in any component.Scholarships availableTOEFL: 80 overall with no less than 18 in reading, 17 in listening, 20 in speaking and 21 in writingYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data AnalystData ScientistUrban AnalystSoftware DeveloperPolicy AdvisorBusiness Intelligence AnalystMachine Learning EngineerData EngineerOperations AnalystDigital Marketing Analyst
Embark on your educational journey with confidence! Our team of admission experts is here to guide you through the process. Book a free session now to receive personalized advice, assistance with applications, and insights into your dream school. Whether you're applying to college, graduate school, or specialized programs, we're here to help you succeed.
University of Leeds
