Data Science (Earth and Environmental Analytics) MSc
Course Overview - Data Science (Earth and Environmental Analytics) MSc
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;
- comput...
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.<br/><br/>You’ll develop invaluable abilities in key area’s such as:<br/><br/><br/>- data analysis;<br/><br/><br/>- project design;<br/><br/><br/>- computational methods;<br/><br/><br/>- data stewardship.<br/><br/><br/>See a full list of mandatory and optional course units below.<br/><br/>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.<br/><br/>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.<br/><br/>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.
Course Information
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
09/2026
Campus
Main Site
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
M20
Points of Entry
Unknown
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