Data Science (Environmental Analytics)
The Master of Science (MSc) in Data Science (Environmental Analytics) at the University of Manchester is a one-year, full-time program designed for students interested in applying data science techniques to environmental challenges. The program focuses on using data analytics, machine learning, and statistical models to analyze environmental data, including climate change, pollution, and biodiversity. Students will gain expertise in environmental data collection, analysis, and visualization, with a particular emphasis on sustainable solutions for environmental management.
The program combines technical training in data science with a focus on environmental applications, preparing graduates to tackle pressing global challenges related to climate change and environmental conservation. Graduates will be well-equipped for careers in environmental consultancy, research institutions, governmental agencies, or private companies specializing in sustainability and environmental protection.
Key information
Key Facts
Program Title: Master of Science (MSc) in Data Science (Environmental Analytics)
Degree Type: Master of Science (MSc)
Duration: 1 Year
Mode of Study: Full-time, On Campus
Application Deadline: 1 July 2026
Location: University of Manchester, United Kingdom
Field of Study: Data Science & Big Data
Language of Instruction: English
Program Structure
Semester 1 – Foundations of Data Science and Environmental Analytics
- Introduction to Data Science and Machine Learning
- Environmental Data Collection and Analysis
- Statistical Methods for Environmental Science
- Data Visualization and Communication
Semester 2 – Advanced Environmental Analytics and Research
- Advanced Machine Learning Techniques for Environmental Data
- Big Data Applications in Environmental Science
- Environmental Modelling and Simulation
- Research Methods in Environmental Analytics
Dissertation
- Independent Research Project in Environmental Analytics
- Data Collection, Analysis, and Interpretation
- Dissertation Writing and Presentation
Career Opportunities
Graduates of the Data Science (Environmental Analytics) program at University of Manchester can pursue careers in environmental consulting, government agencies, research institutions, and sustainability-focused industries. Common roles include data scientist, environmental data analyst, sustainability consultant, and research scientist. Many graduates work for environmental organizations, public sector bodies, or corporate sustainability teams, applying data science to address climate change, resource management, and environmental monitoring. The program also prepares students for roles in policy-making, environmental modelling, and big data analytics related to environmental conservation and management.
Why Choose This Program
The Data Science (Environmental Analytics) Master of Science program at the University of Manchester combines cutting-edge data science techniques with environmental science applications. Students will gain proficiency in machine learning, big data analytics, and environmental modelling, equipping them to solve complex environmental challenges using data-driven approaches. With access to state-of-the-art tools and real-world case studies, the program offers hands-on experience in applying data science techniques to environmental issues. Graduates will be well-prepared for careers that bridge the gap between data science and environmental science, contributing to sustainability and environmental decision-making.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)161 275 5252
Email: admissions@manchester.ac.uk
Address: University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
