Skip navigation
You are viewing our beta course page.

MSc Climate Change and Artificial Intelligence (AI) (Taught)

Course details
  • MS
  • 1 Years
  • Full-time
  • 09/2025
  • Postgraduate
Course location
University of Reading

Course summary

Help tackle the climate crisis, and gain expertise in a rapidly growing field of computer science, with our MSc Climate Change and Artificial Intelligence (AI) degree.

This course is suited to graduates from a wide range of disciplines – including science, technology, engineering and mathematical (STEM) subjects – who are looking for a postgraduate qualification that will help them stand out in the job market.

Choose the University of Reading
Reading is a leading university for climate science and environmental sustainability:

  • ranked 1st in the UK for environmental and ethical performance (People and Planet University League, 2023/24)

  • winner of the inaugural Times Higher Education (THE) award for Outstanding Contribution to Environmental Leadership, 2023

  • recipient of a prestigious Queen’s Anniversary Prize for our world-leading research, teaching, stewardship and outreach on climate change

  • ranked 5th in the world for Atmospheric Science (ShanghaiRanking 2023 Global Ranking of Academic Subjects).

What you’ll learn
Artificial intelligence is growing rapidly, transforming how we collect and use data. It has the potential to help solve and understand complex global challenges, including the climate crisis.

Our Master’s in Climate Change and Artificial Intelligence (AI) addresses the growing demand for graduates with an understanding of both climate science and AI, together with the business acumen to deploy that understanding effectively.

For more information about this programme, please visit: https://www.reading.ac.uk/ready-to-study/study/subject-area/meteorology-and-climate-pg/msc-climate-change-and-artificial-intelligence

Modules

Sample modules may include:

Climate Change: Causes and Consequences
Applied Data Science with Python
Artificial Intelligence and Machine Learning
Data Science and Climate Services
Managing People and Organisations

These are the modules that we currently offer for 2024/25 entry. They may be subject to change as we regularly review our module offerings to ensure they’re informed by the latest research and teaching methods.

Please note that the University cannot guarantee that all optional modules will be available to all students who may wish to take them.

Check our website for more details about the course structure.

Open days

Entry requirements

IELTS: 6.5 overall with no element less than 5.5.

Entry requirements: Normally a good undergraduate honours degree (2:2 or above) in a mathematical/physical science or a closely related subject. Your degree can be in a mathematical, physical, computational science, engineering or related subject and you should have experience in programming. Prior knowledge of meteorology is not necessary.

Applicants should explain in their Statement of Interest why this particular course is suitable for them.

Pre-sessional English language programme

If you need to improve your English language score, you can take a pre-sessional English course prior to entry onto your degree.

Find out the English language requirements for our courses and our pre-sessional English programme

Fees and funding

Tuition fees

LocationFeeYear
Channel Islands£12800Whole course
Republic of Ireland£12800Whole course
England£12800Whole course
Northern Ireland£12800Whole course
Scotland£12800Whole course
Wales£12800Whole course
EU£30950Whole course
International£30950Whole 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.

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Like this page