Course summary
Whether you’re trying to make sense of a football match, a general election or a business’ financial performance, data is vital. Our Data Science – Urban Analytics master’s will teach you invaluable skills for today’s economy such as:
- data analysis
- project design
- computational methods
- data stewardship.
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
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
We offer a number of postgraduate taught scholarships and awards to outstanding applicants, such as the Manchester Humanities International Excellence Scholarship . The Manchester Alumni Scholarship Scheme offers a £3,000 fee reduction to Manchester alumni who achieved a first-class bachelor's degree within the last three years and are progressing to postgraduate study. For more information, see our Fees and funding page.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL