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MSc Environmental Data Science and Analytics
We provide MSc Environmental Data Science and Analytics. We will wholeheartedly provide you with the best quality educational resources and support. We are committed to helping every student achieve greater success in this professional field and lay a solid foundation for future career development.
MSc Environmental Data Science and Analytics

  

About the course

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.

  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. Scholarships - View all scholarships Internships

  

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

  Duration: 1 Year(s)Fees: Not available

Intake Location
Semester 1 (September), 2024 Leeds
Semester 1 (September), 2025 Leeds
Semester 1 (September), 2026 Leeds

  

How to apply

Entry requirements for University of Leeds

A bachelor degree with a 2:1 (hons) in a relevant subject. Those with a background in geography, environmental science, natural sciences, engineering, or computer science, or who can demonstrate good quantitative and/or computing skills, are particularly encouraged to apply.

  Applicants who do not meet the above requirement but can demonstrate several years of professional experience in a relevant field will also be considered. In this case, please contact the Admissions Team to discuss your suitability for the programme.

  Applicants should possess a keen interest in harnessing data science to understand the natural environment and address environmental issues.

  IELTS 6.5 overall, with no less than 6.0 in any component

  TOEFL iBT (Test of English as a Foreign Language Internet-Based Test) at 88 overall with no less than 19 in listening, 20 in reading, 22 in speaking and 21 in writing.

  

English language requirements

  6.5

  Overall IELTS band score

  Book IELTS

  About IELTS

  Practice and prepare

  TOEFL Internet based overall score: 88.0

  

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

  

Further information

Career outcomesIf you aren’t eligible for the above entry requirements, you might want to explore pathway options at University of Leeds. If you want to find out more, please speak to our counsellors.

  Pathway options to study at this institution

  

Reviews and rankings

World ranking

  129th / 1250

  THE World ranking22nd / 130

  Complete University guide

  

What our students think

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