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University of Manchester: Data Science (Mathematics)
| 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 (Mathematics) 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 mathematics.
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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | High 2:1 honours degree (or overseas equivalent) You are expected to have an undergraduate degree with a substantial amount of mathematics including Probability and Statistics, Calculus or Mathematical Analysis, and Linear Algebra. In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: 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 |
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;
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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 | You are expected to have an undergraduate degree with a substantial amount of mathematics including Probability and Statistics, Calculus or Mathematical Analysis, and Linear Algebra. 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. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
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