MSc Weather and Climate Science

1 Year On Campus Masters Program

University of Exeter

Program Overview

The MSc Weather and Climate Science at the University of Exeter is a one-year, research-led master’s where you’ll build cutting-edge quantitative and computational skills to understand and model weather systems and climate processes  all while learning directly from experts who contribute to global climate research, including IPCC reports. It’s perfect for students with a strong mathematical or scientific background who want to apply analytical thinking to tackle real-world environmental challenges and pursue careers in climate science, government agencies, consultancy or further research. 

Curriculum Structure

Core Foundations & Early Modules
Your studies begin with Fundamentals of Weather and Climate Science, where you’ll explore the mathematical and physical principles behind atmospheric and climate systems and start building your statistical and data science toolkit. Alongside this, Engaging with Research introduces you to current research methods and prepares you to undertake independent work. 

Advanced Modules & Specialisation Options
As you progress, you’ll tailor your learning with optional modules like Fluid Dynamics of Atmospheres and Oceans, Mathematics of Climate Change, Modelling the Weather and Climate and Mid-Latitude Weather Systems, which deepen your understanding of dynamical systems, modelling techniques and how mathematical theory applies to real atmospheric phenomena. You also have options in statistical modelling (Statistical Data Modelling, Statistical Modelling in Space and Time, Bayesian Data Modelling) and data science foundations to broaden your analytical range. 

Independent Research Project
The heart of the MSc is the Advanced Mathematics Project a major independent research/dissertation module worth 60 credits  where you investigate a topic of your choosing under expert supervision, such as climate dynamics, atmospheric modelling or data-driven environmental analysis. This capstone experience synthesises your learning and builds confidence for future careers or further study. 

Focus areas:
Weather and climate modelling, atmospheric fluid dynamics, statistical and data science methods, environmental and climate system analysis, independent quantitative research. 

Learning outcomes:
Graduates will gain expertise in mathematical and statistical modelling of weather and climate, computational and data science skills, advanced analytical thinking, and the ability to apply quantitative methods to complex environmental systems. 

Professional alignment (accreditation):
This programme aligns with research strengths in climate science and quantitative modelling at Exeter and prepares you for careers in meteorological agencies (e.g., Met Office), environmental consultancy, government bodies, private sector roles in climate risk and energy, or further research such as a PhD. 

Reputation (employability rankings):
The University of Exeter is ranked Top 20 in the UK for Mathematics in The Times and The Sunday Times Good University Guide 2026, and Exeter itself places 2nd in the UK for Climate Action in the THE Impact Rankings 2025, reflecting the university’s strong reputation in sustainability and climate research a key asset for graduates of this programme

Experiential Learning (Research, Projects, Internships etc.)

This master’s degree is built around doing real weather and climate science, not just reading about it. You’ll gain hands-on experience in mathematical modelling, statistical analysis, and computational methods that professionals use to understand atmospheric systems and climate dynamics. You’ll learn from academics who actively contribute to global climate research  including authors of the IPCC reports — and you’ll be introduced to core physical and mathematical models underpinning weather and climate systems, even if you’re new to atmospheric science. The course culminates in a large independent project where you design and carry out your own research with access to real data and expert supervision, giving you genuine research experience. 

Here’s how experiential learning is embedded in the programme:

Practical & Experiential Features of MSc Weather and Climate Science

  • Independent Advanced Mathematics Project: A 60-credit capstone project gives you real research practice  you’ll choose a topic within weather and climate science, apply analytical and computational tools, and produce a substantial dissertation under supervision. 

  • Core Modelling & Theory Modules: Modules such as Fundamentals of Weather and Climate Science, Modelling the Weather and Climate, and Fluid Dynamics of Atmospheres and Oceans immerse you in the mathematical and physical frameworks used in forecasting and climate research. 

  • Computational and Data Science Tools: Optional modules like Working with Data, Introduction to Data Science and Statistical Modelling, Statistical Data Modelling and Data-driven Analysis of Dynamical Systems give you hands-on training with modern analytical and programming tools relevant to environmental data.

  • Research-Led Teaching: You are taught by world-class researchers whose work spans climate modelling, statistics, fluid dynamics and dynamical systems meaning your learning is informed by cutting-edge science and real research questions.

  • Seminars & Expert Engagement: Regular seminars and discussion sessions connect you with ongoing research advances and allow you to engage with specialists in meteorology and climate science.

  • Career-Relevant Skills: You’ll develop quantitative, computational and analytical skills valued by employers such as the Met Office, environmental consultancies, and government agencies, supported by career guidance workshops and the university’s Career Zone.

Progression & Future Opportunities

Graduate outcomes summary: Graduates of the MSc Weather and Climate Science at the University of Exeter move into careers that apply advanced mathematical, computational and modelling skills to environmental, climate and weather-related challenges. Typical roles include Climate Data Scientist, Atmospheric/Weather Modeller, Environmental Analyst and Research Scientist in government, industry or research institutions: 

Progression & Future Opportunities:

  • University services that will help you employ: Exeter’s Career Zone offers personalised one-to-one career guidance, CV and interview workshops, industry networking and employer events to help you map your path into climate, weather and data roles. 

  • Skills aligned with employment: You’ll develop expertise in mathematical modelling, statistical analysis, computational methods and data science, skills that are increasingly sought after by weather services, environmental consultancies and climate tech teams. 

  • University–industry connections: You’ll be taught by experts who contribute to global climate science, including authors of IPCC (Intergovernmental Panel on Climate Change) reports, and benefit from engagement with organisations such as the Met Office and Hadley Centre, bringing academic and practical insights together. r

  • Long-term accreditation & value: Studying at Exeter—ranked in the Top 20 in the UK for Mathematics and 2nd in the UK for Climate Action adds strong academic credibility to your qualification, recognised by both employers and research institutions. 

  • Graduation outcomes: Graduates are prepared for roles in government agencies (e.g., Met Office), environmental consultancies, energy and agriculture sectors where understanding and modelling weather and climate dynamics is critical for planning, risk assessment and sustainability. 

Further Academic Progression:
After completing the MSc, you could continue to PhD-level research in areas such as climate modelling, atmospheric science, environmental data analytics or mathematical geoscience, providing a pathway into high-level research careers or academia. Alternatively, the technical grounding you gain also supports further professional development in data science, sustainability analytics or climate policy consultancy, which are increasingly important in both public and private sectors

Program Key Stats

£28,900 (Annual cost)
£ 29
Sept Intake : 14th Jan


68 %

Eligibility Criteria

3.2

NA
NA
NA
6.5
90

Additional Information & Requirements

Country Requirements

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