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  • Zoology

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  • Education
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  • Engineering
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  • Graphic Design

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  • Philosophy
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MSc Climate Change and Artificial Intelligence (AI)

  • Year of entry
    2023/24 See 2022/23 entry
  • Course duration
    Full Time:  12 months Part Time: 24 months
  • Year of entry
    2023/24 See 2022/23 entry
  • Course duration
    Full Time:  12 months Part Time: 24 months

COVID-19 update


Find out how we're adapting during COVID-19.

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.  

The programme will explore a variety of core modules, such as: 

  • The Science of Climate Change
  • Applied Data Science with Python
  • Managing People and Organisations
  • Artificial Intelligence and Machine Learning
  • Climate Change: Values, Ethics and Justice.  

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.

Join a university at the forefront of climate research

The University of Reading is actively engaged in tackling the challenges of climate change and making a global impact.  It has been awarded a prestigious 2021 Queen’s Anniversary Prize in recognition of world-leading research, teaching, stewardship and outreach on climate change.

The course has an excellent staff-student ratio and your learning will benefit from the most recent innovations and developments across climate, computer and data science, together with business and management. 

Connections and collaborations with industry

Located in the Thames Valley, a major UK tech hub, the University of Reading has strong links to potential employers. This network provides our students with valuable opportunities.

As well as cutting-edge practical sessions where students will learn by doing, this course features bespoke projects – many conducted in conjunction with industry. These aim to provide you with deep insight into how AI and machine learning can be applied to develop real-world solutions to challenges arising from climate change.

Reading is also home to the Thames Valley AI Hub (TVAI Hub), a community of academics, researchers, technicians, clinicians and business strategists. It enables members to learn, collaborate, and develop business opportunities within the artificial intelligence sector. 

Teaching and support

The programme can be completed in 12 months (full-time), but if you wish to study across 24 months (part-time), you must contact Programme Director Dr Chris Holloway to discuss this first.

Teaching will be delivered through a wide variety of methods: lectures – including those from guest speakers – workshops, tutorials, and computational laboratory classes. 

The programme will be assessed through a combination of written work, computational laboratory reports, group work and presentations, and examinations.

Students will be expected to undertake the necessary independent study alongside the estimated 350 contact hours. The course will require approximately 1800 hours of total study. 

 

Overview

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.  

The programme will explore a variety of core modules, such as: 

  • The Science of Climate Change
  • Applied Data Science with Python
  • Managing People and Organisations
  • Artificial Intelligence and Machine Learning
  • Climate Change: Values, Ethics and Justice.  

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.

Learning

Join a university at the forefront of climate research

The University of Reading is actively engaged in tackling the challenges of climate change and making a global impact.  It has been awarded a prestigious 2021 Queen’s Anniversary Prize in recognition of world-leading research, teaching, stewardship and outreach on climate change.

The course has an excellent staff-student ratio and your learning will benefit from the most recent innovations and developments across climate, computer and data science, together with business and management. 

Connections and collaborations with industry

Located in the Thames Valley, a major UK tech hub, the University of Reading has strong links to potential employers. This network provides our students with valuable opportunities.

As well as cutting-edge practical sessions where students will learn by doing, this course features bespoke projects – many conducted in conjunction with industry. These aim to provide you with deep insight into how AI and machine learning can be applied to develop real-world solutions to challenges arising from climate change.

Reading is also home to the Thames Valley AI Hub (TVAI Hub), a community of academics, researchers, technicians, clinicians and business strategists. It enables members to learn, collaborate, and develop business opportunities within the artificial intelligence sector. 

Teaching and support

The programme can be completed in 12 months (full-time), but if you wish to study across 24 months (part-time), you must contact Programme Director Dr Chris Holloway to discuss this first.

Teaching will be delivered through a wide variety of methods: lectures – including those from guest speakers – workshops, tutorials, and computational laboratory classes. 

The programme will be assessed through a combination of written work, computational laboratory reports, group work and presentations, and examinations.

Students will be expected to undertake the necessary independent study alongside the estimated 350 contact hours. The course will require approximately 1800 hours of total study. 

 

Entry requirements

Entry requirements for 2023/24 have not yet been set. For your reference, entry requirements for 2022/23 were:

IELTS: 6.5 with 5.5 in each section.

Entry requirements: Normally a good honours degree (2.2 or above), or equivalent from a university outside the UK in a mathematical, physical, computational science, engineering or related subject.  Applicants also need some experience of programming.

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

Structure

  • Compulsory modules
  • The Science of Climate Change - 10 credits
    This module provides an introduction to the science of climate change, aimed at students who do not necessarily have a scientific background.

  • Foundations of Statistical Inference - 10 credits
    A module comprising both a lecture and a practical component, which together introduce students to the use of statistical methods in climate science and their application.

  • Applied Data Science with Python - 20 credits
    This module introduces the programming language Python in detail, its syntax and programming paradigm. It also covers specific Python tools and libraries for data science, including data processing and manipulation, data visualisation, statistical methods, and machine learning libraries.

  • Managing People and Organisations - 20 credits
    This modules examines existing knowledge about how people behave in organisational settings, the theories that inform this knowledge, and the practical implications for managers.

  • Climate Services and Climate Impact Modelling - 10 credits
    This module seeks to provide students with the scientific awareness, practical techniques and communication skills required for the provision of climate services and climate impact modelling.

  • Causal Inference and Decision-Making - 10 credits 
    A module comprising both a lecture and a practical component, which together introduce students to the use of causal inference and decision-making methods, with application to climate science and analysis of socio-economic impacts of climate risk.

  • Artificial Intelligence and Machine Learning - 20 credits 
    This module covers the topics of artificial intelligence and machine learning.

  • Climate Change: Values, Ethics and Justice - 10 credits
    In this module, students will explore climate change and responses to climate change, through the lenses of values and ethics, and draw connections to broader struggles for justice.

  • Professional Skills in Data Science - 10 credits
    This module comprises writing skills, a team literature review, a short course on data management skills, and employment related presentations and visits.

  • Dissertation Project - 60 credits
    A major piece of independent, full-time research with dissertation writing skills assessed.

 

Fees

New UK/Republic of Ireland students: £12,100

New international students: £25,800

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

You will 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.

Careers

Our MSc Climate Science and Artificial Intelligence degree will equip you with specialist skills and knowledge that are highly sought by employers. According to the LinkedIn Emerging Jobs Report 2020, artificial intelligence specialist is the number one emerging job in the UK.

As well as equipping you with the skills to progress into PhD-level study and further research, you will be well-placed to pursue a career within a number of different industries: 

  • Education
  • Transport
  • Finance
  • Energy
  • Healthcare.

Climate Risk Management is driving increasing demand for sustainability and climate services in business. The development of these services requires the deep understanding and use of new technologies (Cloud, AI), in combination with environmental datasets (climate simulations, satellite data). However, few people have expertise across both these areas of knowledge and the complexity of climate science and climate data is often underestimated. The advent of regulation and climate legislation will further increase demand for these skills.

Dr Alberto Arribas Herranz
University of Reading Visiting Professor and Microsoft's Sustainability Science Lead for Europe

Scholarships


We have a number of scholarships available for our master's students.

Find out more.

Take the next step


Apply online now

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Related Subjects


  • Meteorology and Climate
  • Computer Science
  • Meteorology and Climate
  • Computer Science
  • Climate Science
  • Data Science

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