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MSc - Master of Science
Whiteknights Campus
Full Time
SEP
1 Year
Select a course option
MSc - Master of Science
Whiteknights Campus
Full Time
SEP
1 Year
MSc - Master of Science
Whiteknights Campus
Full Time
SEP-26
1 Year
MSc - Master of Science
Whiteknights Campus
Part Time
SEP
2 Years
MSc - Master of Science
Whiteknights Campus
Part Time
SEP-26
2 Years
Select a an exam type
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. 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. You’ll gain a thorough understanding of: climate data science and climate modelling, causality and decision-making in climate change, good data management practices, machine learning and artificial intelligence (AI), computing using the Python programming language. Your studies will provide the knowledge and skills required for leadership roles in the IT industry and beyond. You’ll develop the ability to: describe the key concepts involved in climate change, including mitigation and impacts, identify and explain sources of uncertainty in climate model simulations and empirical data, and apply these concepts to decision-making, demonstrate when and how AI and machine learning can be used in climate change applications and services, apply scientific methods to real-world problems and challenges, conduct in-depth research in atmosphere, ocean and climate science.
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.
Students living in
Domestic
£12,800 per year
Students from Domestic
Accommodation costs will vary depending on whether you choose standard, premium or private accommodation, and how long you are staying. Prices can vary from around £160 to £350 per week.
£30,950 per year
Students from EU
Accommodation costs will vary depending on whether you choose standard, premium or private accommodation, and how long you are staying. Prices can vary from around £160 to £350 per week.
£31,650 per year
Students from International
Accommodation costs will vary depending on whether you choose standard, premium or private accommodation, and how long you are staying. Prices can vary from around £160 to £350 per week.
Queen Mary University of London