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Data Science for Environmental Sustainability (MSc)

Data Science for Environmental Sustainability (MSc)

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science Sustainability

Course Summary

Unlock the power of data science with an MSc focused on providing sustainable solutions to critical environmental challenges.

The urgent need to address the global environmental crisis is increasingly evident in the consequences of climate change, from Australian wildfires to widespread flooding in Pakistan and severe droughts across Africa. These crises, exacerbated by resource depletion, population growth, and environmental degradation disproportionately impact climate-vulnerable countries. They demonstrate how desperately we need innovative solutions and sustainable practices, driven by experts with specialist knowledge and expertise.

This programme is designed to help you understand and address these pressing global environmental challenges. It will give you a thorough grounding in advanced data science and how this can be applied to issues of environmental sustainability. Vital context is provided by the integration of the United Nations Sustainable Development Goals (SDGs) into the curriculum. This combination equips you with the necessary tools and knowledge to conduct thorough environmental analyses and make informed decisions using diverse data sources.

You will develop a comprehensive set of key skills, including big-data analysis, machine learning, artificial intelligence, remote sensing, and computational methods targeted at environmental sustainability. As well as acquiring solid theoretical knowledge youll develop practical skills through hands-on projects and collaborative work within real-world contexts, preparing you to tackle environmental challenges effectively. Youll have the flexibility to choose from a range of optional modules so that you can tailor your learning to your area of interest.

Upon completing the programme youll have advanced skills in data management, analysis, visualisation and interpretation, positioning you to actively shape and implement effective sustainable policies and practices. Youll be well prepared for roles in environmental consultancy, policy-making and industries focused on enhancing sustainability.

Our practical approach to applying data to environmental issues will ensure you are able to make a valuable contribution to projects that support sustainable development and climate resilience, further advancing global sustainability goals.

The MSc is designed to equip you with the knowledge, skills, and practical experience highly valued by employers in the environmental sector. It prepares you for a diverse array of career paths, ensuring you are well-positioned to address pressing environmental challenges through data-driven solutions.

Potential Career Paths

As a graduate youll be well-equipped to pursue a variety of career paths in both governmental and non-governmental organizations, environmental consultancies, insurance companies, and related industries. Potential job roles include:

  • Environmental Data Analyst
  • Sustainability Consultant
  • Climate Change Analyst
  • Remote Sensing Specialist
  • Environmental Risk Assessor
  • Policy Advisor/Analyst
  • Project Manager in Environmental and Sustainability Projects

Modules

Big Data, Machine Learning and AI (20 Credits) - Core
Applied Computing for Environmental Sustainability (20 Credits) - Core
Environmental Sustainability: Policies, Principles and Practice (20 Credits) - Core
Business and the Environment (20 Credits) - Core
Dissertation: Data Science for Environmental Sustainability (60 Credits) - Core

Tuition fees

UK fees
Course fees for UK students

Please contact the University

International fees
Course fees for EU and international students

Please contact the University

Entry requirements

Students need to have achieved a 2:2 honours degree in a relevant subject area in science or engineering, such as bioscience, computer science, earth science, environmental science, geography or mathematics, or an equivalent international degree.