Data Science for Environmental Sustainability (MSc) 12 months Postgraduate Programme By Cardiff University |TopUniversities

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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 you’ll develop practical skills through hands-on projects and collaborative work within real-world contexts, preparing you to tackle environmental challenges effectively. You’ll 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 you’ll have advanced skills in data management, analysis, visualisation and interpretation, positioning you to actively shape and implement effective sustainable policies and practices. You’ll 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.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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 you’ll develop practical skills through hands-on projects and collaborative work within real-world contexts, preparing you to tackle environmental challenges effectively. You’ll 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 you’ll have advanced skills in data management, analysis, visualisation and interpretation, positioning you to actively shape and implement effective sustainable policies and practices. You’ll 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.

Admission Requirements

176+
6.5+
69+
4.5+
In order to be considered for an offer for this programme you will need to meet all of the entry requirements. Your application will not be progressed if the information and evidence listed is not provided.

With your online application you will need to provide:
  1. A copy of your degree certificate and transcripts which show you 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. If your degree certificate or result is pending, please upload any interim transcripts or provisional certificates.
  2. A copy of your IELTS certificate with an overall score of 6.5 with 5.5 in all subskills, or evidence of an accepted equivalent. Please include the date of your expected test if this qualification is pending. If you have alternative acceptable evidence, such as an undergraduate degree studied in the UK, please supply this in place of an IELTS.
If you do not have a degree in a relevant area, your application may be considered on the basis of your professional experience. Please provide additional evidence to support your application such as a CV and signed and dated employer references.

1 Year
Sep

Tuition fees

Domestic
12,450 GBP
International
30,700 GBP

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