Environmental Science and Mathematics at University of Stirling - UCAS

Course summary

If you want a career tackling the world's most pressing environmental challenges this is the course for you. Today’s environmental scientists are challenged to find solutions to some of the world’s most pressing problems from climate change, pollution, and the loss of biodiversity to the sustainable provision of energy, food, and clean water. We were one of the first UK universities to introduce an Environmental Science degree and our course is accredited by the Institution of Environmental Sciences. We conduct world-leading research and we are a hub for conservation and environmental organisations. The University was selected to host Scotland’s International Enviroment Centre and Scotland’s Hydro Nation Chair. The Forth Environmental Resilience Array (Forth-ERA) is a state-of-the-art environmental monitoring system – the first of its kind worldwide – that links local sensors, satellite data and artificial intelligence via the 5G network to provide real-time data for sustainable decision making. You will learn from our researchers working at the forefront of finding solutions to global problems together with outstanding networking and career opportunities, making Stirling a superb place to study Environmental Science. You'll gain a scientific grounding and relevant, employable and in-demand skills. Specialist skills modules and regular careers sessions are embedded into core teaching. Field training is a fundamental element that includes field courses in the UK and international destinations. At Stirling, we’re passionate about Environmental Science and offering you innovative, interdisciplinary and research-led teaching that’ll inspire you to be the difference, and protect our society and the planet. Do you enjoy numbers the way others enjoy music, poetry or art? Do you enjoy using Mathematics to explain real-world phenomena and solve problems? Mathematical training develops specific skills and broad analytical expertise, which are valued across all professions. There is also a particular demand for graduates who not only have quantitative skills, but also know how to use them. This course delivers that sought-after combination – through our teaching style, and our focus on real-world applications of both mathematical and statistical techniques. For example, you’ll use the mathematics computing laboratories as an integral part of your learning process, making your study as much experimental as theoretical. Our Computing Science and Mathematics division provides a stimulating and supportive learning environment, and we’ve a strong and active research group. Its primary interest is the application of mathematics to biology, economics and life sciences, and we offer combined Honours degrees in the relevant disciplines.


How to apply

You can no longer submit a new application for courses starting in 2023.

If you already have a 2023 application and are in Clearing, you can add this course as a Clearing choice – contact the university or college first to check they have places.

Application codes

Course code:
F9G1
Institution code:
S75
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements


English language requirements

TestGradeAdditional details
IELTS (Academic)6Obtain IELTS 6.0 with 5.5 minimum in each skill or equivalent.

If you don’t meet the entry requirements there are English language courses which can help you prepare for your degree: https://www.stir.ac.uk/international/international-students/pre-sessional-english-language-courses/

English language requirements

https://www.stir.ac.uk/international/international-students/english-language-requirements/


Student Outcomes

Operated by the Office for Students
95%
Employment after 15 months (Most common jobs)
95%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Fee rates have still to be confirmed for the 2023/4 Academic Session. To view the fee rates for last session, please review on our website: https://www.stir.ac.uk/courses/?filter__level=&filter__method=&filter__faculty=&filter__startdate=
Environmental Science and Mathematics at University of Stirling - UCAS