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University of Manchester: Data Science (Social 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 rapid AI development, 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 (Social Analytics) course prepares you for a successful career in this high-demand field.
You’ll 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;
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data stewardship.
See a full list of mandatory and optional course units below.
If you’re looking to specialise in the technical and computational side of data science our course is well-suited to meet your needs. You will focus on the data techniques and uses that are most relevant to social analytics.
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 in 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) You are expected to have a degree with a substantial proportion of social science content; as a minimum you should have completed two degree level units on topics from any of the following: sociology, psychology, anthropology, economics, history, human geography, political science, public health. The following includes other skills/experience that would increase the chances of being selected: Evidence of applying statistical modelling to social sciences data analytics and/or statistics; |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
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:
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Business and Management;
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Health Science;
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Social Sciences;
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Geography;
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Planning;
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Computer Science;
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Mathematics.
We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, you will develop:
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computational skills;
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data analytical skills;
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data stewardship skills and knowledge;
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project design skills.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | High 2:1 honours degree (or overseas equivalent). You are expected to have a degree with a substantial proportion of social science content; as a minimum you should have completed two degree level units on topics from any of the following: sociology, psychology, anthropology, economics, history, human geography, political science, public health. The following includes other skills/experience that would increase the chances of being selected: - Evidence of applying statistical modelling to social sciences In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: - data analytics and/or statistics; 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. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
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