Data Science (Applied Urban Analytics) at University of Manchester - UCAS

Course options

Course summary

The range of pathways reflects the interdisciplinary nature of the course and we welcome applications from students with backgrounds in a range of disciplines, including:

  • business and management;
  • health science;
  • social sciences;
  • geography;
  • planning;
  • computer science;
  • mathematics.
We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, you will develop:
  • computational skills;
  • data analytical skills;
  • data stewardship skills and knowledge;
  • project design skills.


Entry requirements

High 2:1 honours degree (or overseas equivalent). For this pathway, we would expect applicants to evidence an interest and/or experience in topics related to urban analysis. Examples are: Working experience in urban-themed topics (e.g. data analyses for spatial phenomena, public policies or real estate market analysis) - Experience in working in spatial or GIS-based data analysis - Evidence of training in urban-themed methods or topics (e.g. GIS). In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: - data analytics and/or statistics; - computational subjects; and - pathway specific requirements. These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience. Please see our application and selection page for more detailed information.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Fees for entry in 2024 have not yet been set.

Sponsorship information

We offer a number of postgraduate taught scholarships and merit awards to outstanding applicants and international students. In addition, the Manchester Alumni Scholarship Scheme offers £3,000 reduction in tuition fees to University of Manchester alumni who achieved a first class Bachelor's degree and are progressing to a postgraduate taught master's course.

Data Science (Applied Urban Analytics) at University of Manchester - UCAS