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University of Manchester: Data Science (Earth and Environmental 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 (Earth and Environmental Analytics) course prepares you for a career in this high-demand field.
You’ll develop invaluable abilities in key area’s such as:
-
data analysis;
-
project design;
-
computational methods;
-
data stewardship.
See a full list of mandatory and optional course units below.
This course focuses on the data techniques and uses that are most relevant to environmental management, with optional course units exploring themes such as pollution control and subsurface geoscience.
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) In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: data analytics and/or statistics; For this Pathway we would expect applicants to evidence an interest and/or experience in topics related to environmental analysis. Examples are: Working experience in environment-themed topics (e.g. environment, climate, natural ecosystems, human social and economic systems, and health) |
| 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 – Earth and Environment Analysis 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 environmental management, with optional course units exploring themes such as pollution control and subsurface geoscience.
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.
Upon course completion, you’ll have developed a highly valued skillset, enhancing your employability across countless sectors.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | High 2:1 honours degree (or overseas equivalent) 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. For this Pathway we would expect applicants to evidence an interest and/or experience in topics related to environmental analysis. Examples are: - Working experience in environment-themed topics (e.g. environment, climate, natural ecosystems, - Experience in working in data science, GIS or environmental based data analysis Evidence of training in environment-themed methods or topics |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
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