Entry requirements

Entry is aimed at graduates with strong mathematical knowledge and skills. A good honours degree in mathematics, statistics or a related subject with a substantial mathematical content is desired. Motivation and a willingness to work hard are also important pre-requisites.

English language requirements

If your first language is not English, or your first degree was not taught in English, we'll need to see evidence of your English language ability. The minimum requirement for English language is IELTS 6.5 or equivalent.

We offer a range of English language courses to help you meet the English language requirement prior to starting your masters programme:

20 weeks English (for IELTS of 5.0 with no skill lower than 4.5)
14 weeks English (for IELTS of 5.0 with minimum of 5.0 in writing and no skill lower than 4.5)
10 weeks English (for IELTS of 5.5 with no skill lower than 5.0)
6 weeks English (for IELTS 5.5 with no skill lower than 5.5)

Months of entry

September

Course content

Climate change is recognised as having potentially huge impacts on the environment and on human society. This programme is designed to give students an understanding of climate change causes, impacts, mitigation and adaptation measures from a life science perspective. Students will also develop a wide variety of mathematical modelling skills that can be used to investigate the impacts of climate change.

The programme closely follows the structure of our Applied Mathematical Sciences MSc. Two of the mandatory courses will specifically focus on the issues related to climate change and are taught by expert staff from the University's School of Life Sciences.

Fees and funding

See University website

Qualification, course duration and attendance options

MSc
part time
24-48 months
- Campus-based learningis available for this qualification
full time
12 months
- Campus-based learningis available for this qualification

Course contact details

Name: Admissions Office
Email: studywithus@hw.ac.uk

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Applied Mathematical Sciences with Climate and Environmental Modelling