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Environmental Data Science and Analytics MSc

University of Leeds

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University of Leeds

Course options

2 options available

  • Qualification

    MSc - Master of Science

  • Location

    University of Leeds

  • Study mode

    Full time

  • Start date

    01-SEP-25

  • Duration

    1 year

Course summary

Overview

As global discussions are increasingly focused on the environment and sustainability, the need to understand and interpret both built and natural environmental data is more crucial than ever. Governments, organisations, and industries across the world are seeking individuals who can leverage data to make informed, sustainable decisions.

Our Environmental Data Science and Analytics MSc is designed to give you a fuller understanding of data and what appropriate interpretation and insight generation means in various environmental contexts. Throughout, you'll develop a broad understanding of environmental issues and how data driven analysis can help address these.

You’ll build the skills needed to analyse, understand, interpret and visualise complex environmental data; generating insights that address real-world environmental challenges. You’ll apply techniques from data science including environmental modelling, machine learning, visualisation and data curation to environmental data, with a focus on analysis through programming.

Here at Leeds, you’ll have the opportunity to learn from leading researchers in the field, with input from the School of Geography, the School of Earth and Environment, and the School of Computing.

By the end of the course, you’ll be equipped with the specialist knowledge and skills that are sought after across multiple industries, especially those dealing with large scale environmental data to address the needs of society.

Career opportunities

The specific environmental context of the course allows you to enter specialised careers that require a contextual understanding of data and context from the environmental domain, including environmental consultancies, transport, engineering, utilities (e.g. water, energy, renewables) and government agencies.

More widely, the course will equip you with data science and analytical skills that are vital to many industries across the globe. Growth in the data science field is only increasing, with the number of opportunities growing year on year, from positions in local authorities and governments, industry (e.g. finance, telecoms), NGOs; wherever there is a need for data scientist or data analyst.

Plus, University of Leeds students are among the top 10 most targeted by top employers according to?The Graduate Market 2023, High Fliers Research, meaning our graduates are highly sought after by some of the most reputable companies in the field.

Careers support

At Leeds, we help you to prepare for your future from day one — that’s one of the reasons Leeds graduates are so sought after by employers. The University’s Careers Centre is one of the largest in the country, providing a wide range of resources to ensure you are prepared to take your next steps after graduation and get you where you want to be.

Tuition fees

Students living in Hong Kong
(International fees)

£ 30,750per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Leeds

University of Leeds

University of Leeds

  • University League Table

    23rd

  • Campus address

    University of Leeds, Woodhouse Lane, Leeds, Leeds, LS2 9JT, England

VIEW PROFILE
A global community with staff and students from over 130 countries, providing opportunities to meet and work with people from around the world.
The University of Leeds continually invests in its campus, from new labs and lecture theatres to one of the most impressive libraries in the UK.
The University of Leeds has been welcoming international students for over 100 years, so you can be sure of experienced help throughout your time at Leeds.

Subject rankings

  • Subject ranking

    Computer Science

    20th out of 117 3

    10th out of 73 1

  • Entry standards

    / Max 227
    173 76%

    18th

  • Graduate prospects

    / Max 100
    88.0 88%

    33rd

    17

  • Student satisfaction

    / Max 4
    2.63 66%

    116th

    5

  • Entry standards

    / Max 211
    156 74%

    17th

  • Graduate prospects

    / Max 100
    84.0 84%

    11th

    2

  • Student satisfaction

    / Max 4
    2.95 74%

    62nd

    6

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