Urban Data Science and Analytics MSc - Uni4edu

Urban Data Science and Analytics MSc

University of Leeds, United Kingdom

33250 £ / years

Master's & Postgraduate12 months
University of Leeds campus with modern academic buildings, students walking along tree-lined pathways, School of Geography building visible in the background, vibrant city skyline of Leeds, United Kingdom, under a partly cloudy sky
Master

Urban Data Science and Analytics MSc

University of Leeds

Data Science & Urban Analytics

Duration1 Year
LanguageEnglish
FormatFull-time
Credits180 UK Credits

Program Overview: Urban Data Science and Analytics MSc

The Urban Data Science and Analytics MSc at the University of Leeds offers you the opportunity to gain in-depth knowledge of data science methods and learn how to apply them in understanding cities and setting urban policy. The course combines technical training in the latest data science techniques — from data wrangling to machine learning and visualisation — with the critical thinking needed to interrogate complex urban and mobility challenges.

At the heart of this programme is a commitment to tackling the real-world challenges facing cities. Researchers at the University of Leeds are developing novel data-driven solutions to address issues such as traffic congestion, social and economic inequality, healthy cities, and competition for resources, and this research feeds directly into your learning experience.

You will be taught by an experienced team of academics and researchers who are actively engaged in cutting-edge research as part of the Centre for Spatial Analysis and Policy research group, Leeds Institute for Data Analytics (LIDA), and the Alan Turing Institute. On completion, you will be fully equipped with the experience, technical skills, and knowledge needed to pursue a career in data science, software development, urban planning, and beyond.

Key Program Highlights

  • Learn the latest innovations in urban analytics with exposure to impactful research from the School of Geography, the Institute for Transport Studies, LIDA, and the Alan Turing Institute.
  • Advance your skills in key industry-sought topics including programming for data science, creative coding for urban problems, and analytics for urban policy.
  • Build industry connections through a Global Industry Programme and by working with external organisations and stakeholders on creative solutions to urban problems.
  • Tailor the course to your career aspirations with optional modules in geographic data visualisation, geodemographics, and transport data science.

Curriculum & Modules

The Urban Data Science and Analytics MSc curriculum combines technical data science training with a rich exploration of urban systems and policy. The programme uses innovative delivery modes with a strong focus on practical, problem-based learning through workshops, small groups, laboratories, lectures, and seminars, complemented by interactive digital platforms.

Programming for Data Science

15 credits

Build a solid foundation in programming languages and techniques essential for data science, including data manipulation, analysis workflows, and reproducible coding practices.

Data Science for Cities

15 credits

Explore the theory and application of urban data science, learning how data-driven approaches can be used to understand and model complex urban systems and processes.

Analysing Cities

15 credits

Develop analytical skills to examine urban environments, studying traditional and novel datasets at different spatial scales related to areas, individuals, households, and neighbourhoods.

Applied Data Science for Urban Policy

30 credits

Gain a foundation in applying data science to urban policymaking, exploring technical, procedural, and ethical challenges in using data science for setting urban policy and driving real-world change in cities.

Creative Coding on Urban Problems

15 credits

Work in teams to tackle real-world urban datasets and challenges provided by external stakeholders, using problem-based learning to develop novel and compelling data-driven solutions.

Urban Data Science Project

60 credits

Conduct an independent research project incorporating a data science output in notebook-style analysis and an associated written report, investigating a real-world urban issue that explores your interests.

Elective Modules

Geographic Data Visualisation & Analysis Geodemographics and Neighbourhood Analysis Transport Data Collection and Analysis Transport Data Science

Admission Requirements

The Urban Data Science and Analytics MSc welcomes applicants from a range of academic backgrounds who are passionate about using data science to understand and improve cities. To apply, simply reach out to Uni4Edu — our team will guide you through every step of the application process.

Academic Requirements

  • Undergraduate DegreeA bachelor's degree with a 2:1 (hons) or equivalent in a relevant subject area
  • Relevant DisciplinesGeography, Computer Science, Mathematics, Environmental Science, Planning, Social Sciences, or related quantitative fields
  • International QualificationsInternational equivalent of a UK 2:1 honours degree from a recognised institution
  • Quantitative SkillsEvidence of quantitative or analytical aptitude is advantageous
  • Work ExperienceNot required, though relevant professional experience may strengthen your application

English Language Requirements

  • IELTS Academic6.5 overall with no less than 6.0 in each component
  • TOEFL iBT88 overall with minimum scores in each section (Reading 20, Listening 19, Speaking 22, Writing 21)
  • PTE Academic64 overall with at least 60 in each component

Required Documents

Academic transcripts and degree certificates from all post-secondary institutions Personal statement outlining your motivation and suitability for the programme Two academic or professional references Curriculum vitae (CV) detailing education and relevant experience Proof of English language proficiency (if applicable)

Application Deadlines

International Applicants (Recommended)
Scholarship Consideration
September each year Programme Start

For personalized admission guidance, document verification, and application support, please contact Uni4Edu

Scholarships & Funding

The University of Leeds offers a range of generous scholarships and funding opportunities for international students pursuing taught Master's programmes. Uni4Edu can help you identify and apply for the most suitable funding options to support your studies.

International Excellence Scholarship

10%, 25%, or 50% tuition fee reduction

Up to 500 merit-based awards available for international students commencing taught Master's study. These competitive scholarships recognise outstanding academic achievement, leadership skills, and community contributions.

International Masters Regional Scholarship

GBP 6,000 fee reduction

An automatic tuition fee discount available for international students from eligible countries and regions, applied in the second semester to help ease living costs and allow you to focus on your education.

Leeds Alumni Bursary

10% tuition fee discount

Available to University of Leeds graduates returning for postgraduate study. If you completed your undergraduate degree at Leeds, you may be eligible for this loyalty discount on your Master's tuition fees.

For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.

Career Prospects

Data science and analytics have become crucial to many industries worldwide, and demand for qualified specialists has grown exponentially in recent years. Graduates of this programme are fully equipped with the technical skills, knowledge, and practical experience to pursue exciting careers across the public and private sectors.

84% Graduates in highly skilled work or further study within 15 months
Top 5 Most targeted UK university by graduate recruiters
500%+ Projected global data analytics industry growth by 2030

Potential Career Roles

Urban Data Scientist Transport Data Analyst Urban Planner and Policy Analyst Geospatial Data Scientist Software Developer (Spatial Applications) Data Analytics Consultant

Typical Employers

Local Government and City Councils Transport Authorities and Operators Urban Planning Consultancies Retail and Spatial Data Companies The Alan Turing Institute Technology Start-ups and Scale-ups

Rankings & Recognition

The University of Leeds is a prestigious Russell Group institution consistently ranked among the top universities in the United Kingdom and worldwide. Its strong performance across multiple global ranking systems reflects its commitment to academic excellence, impactful research, and international collaboration.

QS World University Rankings
#86
2026
THE World University Rankings
#118
2026
Complete University Guide
#21
2026
ARWU (Shanghai Ranking)
Top 200
2025
SubjectRanking BodyRank
GeographyQS World University Rankings by SubjectTop 50 — Contact Uni4Edu for current data
Data Science & AILeeds Institute for Data Analytics (LIDA)National leader — Alan Turing Institute partner
Social Sciences & ManagementQS World University Rankings by SubjectTop 100 — Contact Uni4Edu for current data
Environmental SciencesQS World University Rankings by SubjectTop 100 — Contact Uni4Edu for current data

How to Apply

Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.

1

Contact Uni4Edu

Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.

2

Prepare Your Documents

Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.

3

Submit Your Application

Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.

4

Receive Your Offer

Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.

Contact Uni4Edu

corporate@uni4edu.com
+90 5435286292
+44 7868736984
Apply Now

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