Urban Data Science and Analytics MSc

at University of Leeds

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.
 

In the first term, the course will introduce you to the theory and application of urban data science, through two complementary modules: Data Science for Urban Systems and Analysing Cities. The first of these will provide a foundation in data science training, combining real-world data sets, analytics, and applications across a diverse range of contemporary urban contexts.
 

Analysing Cities will focus on understanding and analysing cities from a complex system perspective using an interdisciplinary approach, to consider how we plan, organise, and evaluate cities, and address future challenges. You will also be given an introduction into programming (currently using Python) on the Programming for Data Science module, parented by the School of Computing.
 

The second term will build and expand upon this knowledge. The Analytics for Urban Policy module will explore the key considerations in using data science across a range of urban policy areas and address how these policies result in tangible change. Field trips will enable you to observe the impact of different urban policies within diverse environments and contexts.

Modules

Year 1

Compulsory modules

• Programming for Data Science  
• Analysing Cities    
• Data Science for Urban Systems    
• Creative Coding for Urban Problems   
• Analytics for Urban Policy   
• Urban Data Science Project    

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.

English language requirements

IELTS 6.5 overall, with no less than 6.0 in any component. For other English qualifications, read English language equivalent qualifications.

 

Fees

• UK: £11,500 (total)
• International: £25,750 (total)
   

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.