Taught course

Climate Change and Artificial Intelligence (AI)

University of Reading · Department of Meteorology

Entry requirements

IELTS: 6.5 overall with no element less than 5.5.

Normally a good undergraduate honours degree (2:2 or above) in a mathematical/physical science or a closely related subject. Prior knowledge of meteorology is not necessary. A degree in environmental/agricultural sciences or geography may be acceptable if maths and physics have been studied to A level or equivalent.

Prepare for your master's course

For this degree you are required to have a good knowledge of physics and mathematics.

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.

Months of entry


Course content

Tackle some of the world’s most important issues, and study at the forefront of an exciting and growing industry, with our MSc Climate Change and Artificial Intelligence (AI) degree.

At the University of Reading, this unique, master’s-level course will prepare you for a career where you can make a difference. It’s designed to address the growing demand for individuals with understanding of both our changing climate and artificial intelligence, together with the business acumen to deploy that understanding effectively.

This complementary combination of disciplines – drawing expertise from the Department of Meteorology, Department of Computer Science, the Walker Institute and the triple-accredited Henley Business School – offers the first, and currently only, postgraduate course of its kind in the UK.

Learn how AI can be applied to climate change

A rapidly growing subject, artificial intelligence is transforming how we collect and use data. It has the potential to help solve and understand complex global challenges, including the climate crisis.

MSc Climate Change and Artificial Intelligence 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. It is for individuals who want to improve their understanding of climate science and AI techniques, and be prepared for current – or future – managerial responsibilities.

Throughout the course, you will develop an understanding of the programming language Python, as well as key management and communication skills.

You will also expand your knowledge of climate science, AI and machine learning, engaging with these subjects through an ethical perspective and thinking critically about questions of values and justice.

Read about student Alpana Chandrashekar’s experience studying MSc Climate Change and Artificial Intelligence.

Fees and funding

New UK/Republic of Ireland students: £12,550

New international students: £26,950

Tuition fee information

The fees listed are for full-time study, unless otherwise stated. Fee information will be confirmed in offer letters sent out to successful applicants. You can find further information, including information for part-time study, through our dedicated fees and funding page.

EU student fees

With effect from 1 August 2021, new EU students will pay international tuition fees. For exceptions, please read the UK government's guidance for EU students.

Additional costs

Some courses will require additional payments for field trips and extra resources. You will also need to budget for your accommodation and living costs. See our information on living costs for more details.

Financial support for your studies

You may be eligible for a scholarship or bursary to help pay for your study. Students from the UK may also be eligible for a student loan to help cover these costs. See our fees and funding information for more information on what's available.

Qualification, course duration and attendance options

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

Course contact details

University of Reading