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University of Manchester: Data Science (Applied Urban Analytics)
| Institution | University of Manchester |
|---|---|
| Department | School of Social Sciences |
| Web | https://www.manchester.ac.uk |
| pg-soss@manchester.ac.uk | |
| Telephone | +44 (0) 161 306 5500 |
| Study type | Taught |
MSc
Summary
The inexorable rise of the digital world, driven by the rapid development of AI, has made data scientists more in demand right now than ever before. The advances of analysing big data span beyond the digital and technology industry and are increasingly recognised in the worlds of sport, medicine, space exploration and more. Our MSc Data Science (Urban Analytics) course prepares you for a successful career in this high-demand field.
You will develop invaluable abilities in key area’s such as:
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data analysis;
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project design;
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computational methods;
-
data stewardship.
This course focusses on the data techniques and uses that are most relevant to urban analytics, with optional course units exploring themes such as land use, property valuation and town planning.
We welcome applicants from a range of STEM, business and humanities backgrounds, allowing us to create a diverse cohort and enrich discussions around the uses and potential of data.
By the end of your studies, you will have developed a highly valued skillset, enhancing your employability across countless sectors such as policy, business, research and more. Previous students have gone on to roles such as data scientists, civil servants, consultants, researchers, entrepreneurs, and within AI.
This course is eligible for the 1+3 studentship offered by the Economic and Social Sciences Research Council (ESRC) North West Social Sciences Doctoral Training Partnership (NWSSDTP), offering a unique, fully-funded route into postgraduate research. If your application is successful, you’ll be able to seamlessly transition from master's-level study to a PhD.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | High 2:1 honours degree (or overseas equivalent) Working experience in urban-themed topics (e.g. data analyses for spatial phenomena, public policies or real estate market analysis) data analytics and/or statistics; These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
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.
This pathway focusses particularly on the data techniques and uses that are most relevant to urban analytics, with optional course units exploring themes like land use, property valuation and town planning.
The course welcomes applicants from a range of STEM, business and humanities backgrounds. Working with the rest of your student cohort will enrich your understanding of the uses and potential of data.
| Level | RQF Level 7 |
|---|---|
| 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) data analytics and/or statistics; Please see our application and selection page for more detailed information. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
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