Numerical models, satellite Earth observation and environmental data science are central to how researchers, governments and organisations understand environmental systems, assess risk and support decision-making. Our MSc in Environmental Data Science will provide you with the practical skills to pursue a career in this exciting area. You will study in the School of Geographical Sciences, ranked 15th globally for Geography (QS World University Subject Rankings 2026).
The programme's mandatory units introduce key ideas and techniques and provide foundations for independent research during the dissertation in the summer months, supported by an academic supervisor. You will learn both Python and R in environmental data science and modelling techniques. Your optional units provide the opportunity to shape your MSc programme to suit your research interests.
A key component of the programme is the dissertation. Most dissertation work will take place during the summer months. The dissertation provides you with the practical experience of formulating, designing, and undertaking a substantive and original piece of research in environmental modelling and/or satellite observation. You are introduced to key principles of research design and research ethics through intensive training on this programme.
Visit our programme catalogue for full details of the structure and unit content for our MSc in Environmental Data Science.
You will typically need an upper second-class honours degree or an international equivalent in any social science, science, mathematics, or professional degree (medicine, architecture, planning or engineering).
All other degree subjects will be considered on a case-by-case basis if you can demonstrate academic experience in data science, GIS, coding, modelling, or statistics.
Alternatively, six months paid work experience/internship in a quantitative, data science or analysis, or GIS role in government, NGO or industry may be considered to demonstrate sufficient academic experience; these will be considered on a case-by-case basis.
If you are currently completing a degree, we understand that your final grade may be higher than the interim grades you have achieved during your studies to date. We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree.
We will also consider your application if your final overall achieved grade is slightly lower than the programme's entry requirement.
If your achieved grade is lower than our entry requirements, your application may be more likely to receive an offer if you have additional relevant work experience or qualifications. If you have one of the following, please include your CV (curriculum vitae/résumé) when you apply, showing:
Online/self-directed certificates in coding, programming, data science or analytics can be used to meet the requirements; these will be considered on a case by case basis.
See international equivalent qualifications on the International Office website.
Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.
If English is not your first language, you will need to reach the requirements outlined in our profile level E.
Further information about English language requirements and profile levels .
Apply via our online application system. For further information, please see the guidance for how to apply on our webpages.
Overseas applicants: 12 August 2027. Home applicants: 9 September 2027.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 153 位 | 南加州大学University of Southern California | 32学分 | 73,888 美元 |