MSc Data Science for Environmental Science

Governments, organisations, and industries worldwide are seeking professionals who can leverage data to make informed, sustainable decisions to help meet global challenges. This has resulted in a significant increase in demand for skilled data scientists with knowledge of the environmental sciences, a trend that is expected to continue. Our cutting-edge MSc in Data Science for Environmental Science is designed to prepare you to become a highly qualified data scientist. This one-year Master’s course will equip you with proficiency in analysing environmental data, a skill applicable to a wide range of careers in both the public and private sectors, as well as in research. You’ll receive an excellent grounding in practical and theoretical aspects of data mining, Python, and statistics, with the opportunity to tailor your degree through modules in quantitative environmental sciences and modelling. Additionally, you’ll also have the flexibility to choose the focus of your dissertation. At UEA, you’ll be part of the School of Environmental Sciences, which has made significant global contributions over the past 50 years and has been honoured with the Queen's Award. Our large, internationally recognised school is known for its holistic, interdisciplinary, and solution-oriented research aimed at addressing the environmental challenges of the 21st century and securing a sustainable future. In the 2021 Research Excellence Framework, we ranked fourth overall for research quality in Earth Systems and Environmental Sciences in the UK, with 94% of our research assessed as world-leading or excellent. Upon graduation, you’ll possess a wealth of knowledge, prestigious connections, and valuable research experience, giving you a competitive edge in your career or further studies. Our alumni have successfully secured positions with government organisations (e.g., Environment Agencies, national meteorological offices) and global consultancy firms, while others have chosen to pursue PhD research.