MSc Data Science for Environmental Science at University of East Anglia

Become a highly qualified data scientist with the knowledge and understanding to apply these skills to a wide range of careers relating to the environment. This course combines environmental science with in-depth tuition in data science, programming, and machine learning. Data Science is a highly sought-after skillset that is widely used in modern organisations to understand the world around them.

Faculty: Faculty of Science  |  Department: School of Environmental Sciences  |  Duration: 1 year full-time  |  Study mode: full-time  |  Intake: Entry points: September; next start September 2027  |  Location: Norwich, England, United Kingdom

What you will study

Our MSc Data Science for Environmental Science course is a full-time, one-year taught programme, designed for advanced students and practitioners. Compulsory modules by year: Year 1: Dissertation (data Science), Statistics and Modelling for Scientists Using R.

Career pathways

With a MSc Data Science for Environmental Science degree, you could launch a career in: Environmental data scientist: Use machine learning and numerical modelling to understand and predict environmental systems GIS and data analyst: Collect, analyse, and visualise spatial data to support planning, decision-making, and problem-solving across diverse sectors Big data analyst: Manage and analyse very large data sets produced by remote sensing or numerical models Sustainability analyst: Provide data-driven analysis to help organisations improve their sustainability Climate data analyst: Analyze long-term trends and model projections to assist in climate adaptation and risk mitigation

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