Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 12 months full time
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, healthy cities, and competition for resources.
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.
Fees are listed on our website
Please see our website for funding opportunities.
This course will offer you in-depth technical knowledge and skills in data science along with training in workflow practice, teamwork, and ‘hacking’ to prepare you for an exciting career in industry. An online portfolio of work developed throughout the course will be important for demonstrating skills to prospective employers.
On completion of this course, you will have the technical knowledge to secure employment in local government; companies handling spatial data (eg. supermarkets, retail); start-ups; transportation authorities and operators; urban planners; and consultancies (eg. Arup, Mott MacDonald) in roles such as a data scientist; data analyst, or software developer.
Compulsory modules
Programming for Data Science 15 credits
Analysing Cities 15 credits
Applied Data Science for Urban Policy 30 credits
Creative Coding on Urban Problems 15 credits
Urban Data Science Project 60 credits
Data Science for Cities 15 credits
Optional modules (selection of typical options shown below)
Geographic Data Visualisation & Analysis 15 credits
Geodemographics and Neighbourhood Analysis 15 credits
Transport Data Collection and Analysis 15 credits
Transport Data Science 15 credits
Research that matters Challenge yourself and become an expert in your field as part of a thriving research community of over 4,000 postgraduate...
