12 monthsProgramme duration
30,700 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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
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
With your online application you will need to provide:
- 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.
- 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.
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