MSc Climate Change and Artificial Intelligence (AI) at 澳门六合彩开奖记录

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 澳门六合彩开奖记录

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)
named Sustainable University of the Year in The Times and The Sunday Times Good University Guide 2025.

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.

The course will improve your understanding of climate data science and AI techniques, and prepare you for current – or future – managerial responsibilities.

Read about Alpana Chandrashekar's experiences of MSc Climate Change and Artificial Intelligence at the 澳门六合彩开奖记录.

Study options

This programme can be studied full-time for 12 months, or part-time over 24 months. If you wish to study part-time, please contact our Programme Director, , to discuss this.

Our MSc in Climate Change and Artificial Intelligence (AI) is the first, and currently only, postgraduate course of its kind in the UK.

Your studies will draw on expertise from the Department of Meteorology, Department of Computer Science, the , and the triple-accredited .

Join a university at the forefront of climate research

The 澳门六合彩开奖记录 is an award-winning leader in climate science and environmental sustainability. We are actively engaged in tackling the challenges of climate change and making a global impact.

In the UK, we are ranked 3rd for research power in Earth Systems and Environmental Sciences (Times Higher Education, Institutions Ranked by Subject, based on its analysis of the latest Research Excellence Framework, 2021).

Our Whiteknights campus is set to house the largest cluster of weather and climate scientists in the world, following an agreement to build a new state-of-the-art international headquarters for the .

Experts from ECMWF will be located alongside the University's Department of Meteorology, as well as staff from the UK Met Office, National Centre for Atmospheric Sciences, and National Centre for Earth Observation.

Expertise in data science and artificial intelligence

Our Department of Computer Science offers expertise in data science and AI, as well as advanced computing for environmental science. 100% of the University’s research impact in Computer Science and Informatics has been classed ‘outstanding’ or ‘very considerable’ (Research Excellence Framework 2021, combining 4* and 3* submissions).

Artificial intelligence is increasingly being used by academics at the University to tackle challenges in climate and environmental sustainability, much of which is in collaboration with the Met Office and the ECMWF.

Facilities

Students at the 澳门六合彩开奖记录 have access to real-time meteorological and climate data, including World Meteorological Organization standard measurements. You’ll be able to incorporate this data into your projects.

You will also have access to datasets from the latest climate model simulations, including those used in the Assessment Reports.

Connections and collaborations with industry

The 澳门六合彩开奖记录 is located in the Thames Valley, a major UK tech hub. The region currently boasts more than 150 companies and start-ups working in the AI sector. In 2023, Reading was ranked second in in the UK.

Our MSc Climate Change and AI course features bespoke research projects, many conducted in conjunction with industry. These projects provide insight into how AI and machine learning can be used to develop real-world solutions to the challenges arising from climate change. Recent projects undertaken by Reading students include:

Climate futures, food security and sustainable livelihoods in Somaliland (with Microsoft)
European cold spells and sudden stratospheric warmings (with Freepoint)
The use of machine learning in predicting precipitation from extreme storms in New Zealand (with the National Institute of Water and Atmospheric Research (NIWA), New Zealand)
Modelling the impact of extreme weather events in Americas on banana yield and prices
Flood forecasting and AI.

The University is also home to the , a community of academics, researchers, technicians, clinicians, and business strategists. The hub enables its members to learn, collaborate, and develop business opportunities in the artificial intelligence sector.

Networking opportunities

The Department of Meteorology’s networking day enables you to establish contacts in your chosen field, and learn more about what it's like to work in different sectors of meteorology and climate risk. Organisations that attend the event include instrumentation companies, private and government forecasters, catastrophe and insurance companies, and research organisations.

We regularly invite guest speakers to deliver lectures to our students. Previous speakers and topics have included:

Mantle Labs – using machine learning in forestry and agriculture projects that support climate change mitigation and adaptation
Lake Street Consulting – using weather data analytics to support the energy sector
Climate X – climate risk data analytics.

Our interdisciplinary also runs a Welcome Session for MSc Climate Change and AI students, providing opportunities to connect with a network of collaborators working on food security and other climate risk indicators.

Overview

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.

Choose the 澳门六合彩开奖记录

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)
named Sustainable University of the Year in The Times and The Sunday Times Good University Guide 2025.

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.

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.

The course will improve your understanding of climate data science and AI techniques, and prepare you for current – or future – managerial responsibilities.

Read about Alpana Chandrashekar's experiences of MSc Climate Change and Artificial Intelligence at the 澳门六合彩开奖记录.

Study options

This programme can be studied full-time for 12 months, or part-time over 24 months. If you wish to study part-time, please contact our Programme Director, , to discuss this.

Learning

Our MSc in Climate Change and Artificial Intelligence (AI) is the first, and currently only, postgraduate course of its kind in the UK.

Your studies will draw on expertise from the Department of Meteorology, Department of Computer Science, the , and the triple-accredited .

Join a university at the forefront of climate research

Our Whiteknights campus is set to house the largest cluster of weather and climate scientists in the world, following an agreement to build a new state-of-the-art international headquarters for the .

Expertise in data science and artificial intelligence

Facilities

You will also have access to datasets from the latest climate model simulations, including those used in the Assessment Reports.

Connections and collaborations with industry

Climate futures, food security and sustainable livelihoods in Somaliland (with Microsoft)
European cold spells and sudden stratospheric warmings (with Freepoint)
The use of machine learning in predicting precipitation from extreme storms in New Zealand (with the National Institute of Water and Atmospheric Research (NIWA), New Zealand)
Modelling the impact of extreme weather events in Americas on banana yield and prices
Flood forecasting and AI.

Networking opportunities

We regularly invite guest speakers to deliver lectures to our students. Previous speakers and topics have included:

Mantle Labs – using machine learning in forestry and agriculture projects that support climate change mitigation and adaptation
Lake Street Consulting – using weather data analytics to support the energy sector
Climate X – climate risk data analytics.

Entry requirements

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.

IELTS: 6.5 overall with no element less than 5.5.

Pre-sessional English language Programme

Our Pre-sessional English Programme is for international students who need to meet their degree programme English language requirements.

Our courses equip you with the skills and language needed for academic success, including critical thinking, self-reflection, learner autonomy, research skills and integrating sources. The Pre-sessional English Programme is accredited by the global association of Lecturers in English for Academic Purposes, which guarantees you will receive a high-quality student experience.

To find out more, visit Pre-sessional English.

Structure

Modules

Compulsory modules

Climate Change: Causes and Consequences

Understand the causes and consequences of climate change, and ways of addressing climate risks through mitigation and adaptation. You’ll also learn about the challenges in developing local, national and international responses to climate change.

Applied Data Science with Python

Learn to work proficiently with Python tools for data science. You’ll gain hand-on experience through practical work and simple programming tasks and also develop a set of transferable and professional skills.

Artificial Intelligence and Machine Learning

Learn current methods in artificial intelligence (AI) and machine learning (ML) and their application using Python programming language. You’ll also be able to formulate research problems, write technical reports and use your knowledge and skills to continue learning and adapting to new data science technologies.

Data Science and Climate Services

Convert raw climate data into information relevant to decision-making and apply appropriate statistical methods for analysis and interpretation. You’ll also understand the limitations of the methods and data used, and develop the ability to communicate this information effectively to both expert and non-expert audiences.

Managing People and Organisations

Examine how people behave in organisational settings, the theories that inform this behaviour, and the practical implications for managers. You'll explore current understanding across human and social sciences, including management, philosophy, political science, psychology, and sociology.

Causality and Decison-making

Explore the design and application of decision-making methods and problem-structuring based on causal inference theory, focusing on socio-economic aspects of climate risks and impacts through real-world case studies. You’ll develop your own critical-reasoning skills, apply modelling frameworks to decision-making, and examine ethics, values, and competing ideologies in the context of national and international policies and institutions.

Dissertation: Research Project

Acquire the skills needed for scientific research, develop specific interests, and prepare for research or work in your field of study. Applicants who receive an offer of a place to study on the MSc Climate Change and Artificial Intelligence course will have the opportunity to explore the possibility of defining their research project, in consultation with academic supervisors, before enrolling at the 澳门六合彩开奖记录.

Weather and Climate Discussion

Study weather and climate issues of both local and global importance. You’ll gain knowledge of current weather, recent worldwide climate events and short-term weather forecasts.

If required, you can also take preparatory modules to support your skill and knowledge development, including Academic English for Meteorologists.

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.

You can also register your details with us to receive information about your course of interest and study and life at the 澳门六合彩开奖记录.

Fees

New UK/Republic of Ireland students: £12,800

New international students: £30,950

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 .

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 Change and Artificial Intelligence (AI) degree will equip you with specialist skills and knowledge that are highly sought by employers. The UK government’s notes that:

There were over 110,000 UK job vacancies in 2020 for AI and data science roles.
In 2020, there was a 16% increase in online AI and data science job vacancies, and research found that 69% of vacancies were hard to fill. (Ipsos MORI, Understanding the UK AI labour market: 2020 (2021)).
“The gap between demand and supply of AI skills remains significant and growing”. (Microsoft, AI Skills in The UK (2020) and Ipsos MORI, Understanding the UK AI labour market: 2020 (2021)).

The government’s (October 2022) also notes that the UK is a world leader in artificial intelligence and that jobs are growing in the AI sector.

Transferable skills

Knowledge and understanding of climate science – and how artificial intelligence can be used to tackle the climate crisis – are increasingly important in the global economy. The skills provided by our MSc in Climate Change and Artificial Intelligence are highly transferable, and are valued by employers in many sectors.

Your degree could also lead to PhD study or further research in a variety of academic disciplines.

Success for 澳门六合彩开奖记录 graduates

Master’s graduates from the Department of Meteorology have an excellent track record of progressing into employment. 94% of graduates from Meteorology are in work or further study within 15 months of graduation; of those in full-time employment, 93% are in graduate-level roles (three-year average, based on our analysis of HESA data © HESA 2022-2024, Graduate Outcomes Surveys 2019/20-2021/22; includes postgraduate (taught) Meteorology responders).

澳门六合彩开奖记录