University of Manchester - virtual open day (online only)
20 Apr 2026, 15:00
Manchester

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.
High 2:1 honours degree (or overseas equivalent)
See application and selection tab.
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, human social and economic systems, and health)
Experience in working in data science, GIS or environmental based data analysis
Evidence of training in environment-themed methods or topics
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 7 | IELTS Academic test score of 7 overall with no component score below 6.5 |
| TOEFL (iBT) | 100 | TOEFL IBT 100 with no score below 22 in each section. TOEFL code for Manchester is 0757 |
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.
For fees for entry in 2026, please view the course listing on our website.
Oxford Road
Manchester
M13 9PL
Visit our website Visit our course page
Email:pg-soss@manchester.ac.uk
Phone:+44 (0) 161 306 5500