Overview
Embarking on a Master of Science in Data Science (Environmental Analytics) at The University of Manchester places you at the forefront of a rapidly evolving field. Ranked among the top ten UK universities for mathematics, statistics, and computer science (Times Higher Education World University Rankings by Subject, 2025), this programme is designed to equip you with the skills necessary to thrive in today’s data-driven landscape.
Our interdisciplinary approach ensures that you gain a comprehensive understanding of how data science can be applied across various sectors, including environmental management, policy-making, and urban planning. The curriculum is tailored to address current environmental challenges such as climate change, biodiversity conservation, and public health, providing you with the analytical tools to make a meaningful impact.
Throughout the course, you will engage in hands-on experience with real-world data, utilising statistical software such as R, Python, and Excel. This practical exposure is complemented by a robust theoretical foundation, enabling you to develop critical skills in data analysis, project design, and computational methods.
Our teaching methodology incorporates a mix of lectures, practical sessions, workshops, and collaborative projects, ensuring a rich learning experience. You will have the opportunity to work closely with industry partners, gaining insights into the practical applications of data science in diverse fields.
Why Data Science (Environmental Analytics) at The University of Manchester?
Studying at The University of Manchester not only offers you access to cutting-edge facilities and resources but also places you in a vibrant academic community. The university's commitment to research excellence and innovation ensures that you are learning from leading experts in the field. Graduating from one of the UK’s most targeted universities by top employers (High Fliers, The Graduate Market Report 2024) significantly enhances your employability.
Tuition Fee Breakdown
The tuition fees for the MSc Data Science (Environmental Analytics) are as follows:
- UK students: £16,500 per annum
- International students: £33,500 per annum
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The MSc programme comprises a mix of mandatory and optional units, totalling 180 credits. Core units include:
- Statistics and Machine Learning 1: Statistical Foundations
- Statistics and Machine Learning 2: AI, Complex Data, Computationally Intensive Statistics
- Understanding Databases
- Applying Data Science
- Understanding Data and their Environment
- Extended Research Project
Optional units allow for specialisation in areas such as environmental monitoring, pollution management, and GIS applications, providing you with a well-rounded education in data science.
Careers with Data Science (Environmental Analytics)
Graduates of this programme are well-prepared for a variety of roles across sectors, including banking, civil service, IT, sports analysis, and pharmaceuticals. Many alumni have secured positions as data scientists, consultants, researchers, and civil servants, showcasing the versatility of the skills acquired during their studies.
The University of Manchester’s dedicated Careers Service offers tailored support, including job listings, interview preparation, and CV assistance, ensuring that you have the resources needed to successfully transition into your chosen career path.
Programme Structure
Courses include:
- Machine Learning and Statistics
- Understanding Databases
- Understanding Data and their Environment
- Applying Data Science
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Manchester, United Kingdom
Disciplines
Data Science & Big Data Environmental Sciences Data Analytics View 408 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- High 2:1 honours degree (or overseas equivalent)
In your application, you should demonstrate aptitude, knowledge and/or interest in three areas:
- data analytics and/or statistics;
- computational subjects; and
- pathway specific requirements.
These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.
For this Pathway we would expect applicants to evidence an interest and/or experience in topics related to environmental analysis. Examples are:
- Working experience in environment-themed topics (e.g. environment, climate, natural ecosystems, human social and economic systems, and health)
- Experience in working in data science, GIS or environmental based data analysis
- Evidence of training in environment-themed methods or topics
Tuition Fees
-
International Applies to you
Applies to youNon-residents33500 GBP / year≈ 33500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents16500 GBP / year≈ 16500 GBP / year
Living costs
Manchester
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science (Environmental Analytics).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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