Study Master of Data Science (Environmental Data Science) at Durham University in the UK,
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Master of Data Science (Environmental Data Science)

UK

4

What will I learn?

Learn to harness the power of environmental data to address global challenges. This conversion course equips you with the skills to analyse complex spatial and temporal datasets, using cutting-edge tools to inform sustainable solutions in science, industry, and policy.From personalised medicine to smart cities and sustainable solutions, data science is building a better world. At the same time, developments in technology have made the field of data science more accessible than ever, creating new opportunities to gain insight into the interactions between people and their environment. This has led to a significant increase in demand for skilled data scientists, and this demand is predicted to further grow. Drawing on this, we have created the Master of Data Science (Earth and Environment), a conversion course that equips you with the skills to access, clean, analyse and visualise data, opening a future in data science even if your first degree is in a non-quantitative subject. It is likely to appeal to geographers, earth and environmental scientists who want to learn how to use the data produced in modern industry, science and government in the management of natural resources and spatio-temporal information flows. The course provides training in contemporary data science. You will be based in a supportive environment, learning from practising researchers who are making a difference across a range of industries. Shared core modules across the suite of MDS courses will equip you with wider statistical and machine learning skills, while subject-specific earth and environment modules develop your quantitative skills in the field of natural resources. It is equally suitable whether you are planning to use quantitative analysis in a research capacity, or if you are a geography or environmental graduate who wants to learn transferable data and modelling analysis skills. The MDS culminates in the research project, an in-depth investigation in which you apply the skills learned during the course to a research problem, working alongside an expert in the area of application of your choice. There may be an option to carry out the project in conjunction with an industry partner.

Study options

Full Time (1 Year)

Tuition fees
£34,500.00 (US$ 44,554) per year
This is a fixed fee

*Price shown is for indicative purposes, please check with institution

Start date

October 2026

Venue

Durham University

The Palatine Centre,

Stockton Rd,

Durham,

County Durham,

DH1 3LE, Northern England, United Kingdom

Full Time (1 Year)

Tuition fees
£34,500.00 (US$ 44,554) per year
This is a provisional fee yet to be approved

*Price shown is for indicative purposes, please check with institution

Start date

October 2027

Venue

Durham University

The Palatine Centre,

Stockton Rd,

Durham,

County Durham,

DH1 3LE, Northern England, United Kingdom

Entry requirements

For international students

We require a 2:1 Bachelor (Honours) degree or international equivalent in any degree subject.

Applicants with a strong data science or mathematical background may wish to consider our MSc Scientific Computing and Data Analysis programmes.

*There may be different IELTS requirements depending on your chosen course.

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About Durham University

Durham University connects a rich history with modern values to create a well-respected and forward-thinking institution.

  • Durham hosts over 18,000 students from across the world
  • Named top 30 international university in the world
  • Durham is one of the top 5 universities in the UK
  • The university received the TEF gold teaching standard

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