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The MSc Data Science (Earth and Environmental Analytics) at the University of Manchester is a specialised, one-year, full-time program focusing on applying data science techniques to tackle environmental and sustainability challenges.
Students develop critical skills in data stewardship, project design, and advanced analytics, enabling them to deliver impactful solutions in environmental sectors.
Ranking:
Course Overview:
Core:
Statistics and Machine Learning 1: Statistical Foundations
Statistics & Machine Learning 2: Al, Complex Data, Computationally Intensive Statistics
Understanding Databases
Understanding Data and their Environment
Extended Research Project
Optional:
Digital Terrain Analysis
Environmental Remote Sensing
GIS and Environmental Applications
Understanding GIS
Neighbourhood Planning ProjectStatistics
Key Interpretation Skills
Earth and Environmental Data Science
Project-based learning with a strong focus on real-world environmental datasets.
Application of machine learning and statistical methods to climate, biodiversity, and health challenges.
Practical exposure to environmental analytics tools and methodologies.
Data-driven project work aligned with current global sustainability issues.
Opportunities to apply data science techniques in cross-disciplinary environmental contexts.
Graduates progress to roles in environmental agencies, consultancy firms, sustainability teams, public health organisations, and governmental bodies.
Pathways to PhD research in environmental analytics, climate modelling, or data-driven sustainability studies.
Addresses the growing demand for environmental data scientists working at the interface of climate science and data analytics.
Supports career progression in industries committed to environmental and health-based data solutions.
Entry Requirements: High 2:1 honours degreeNo part time studies availableIELTS Academic: 7 overall with no component score below 6.5TOEFL iBT: 100 with no score below 22 in each section.Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Environmental Data ScientistClimate AnalystSustainability Data ConsultantEnvironmental Policy AnalystGeographic Information Systems (GIS) AnalystHealth and Pollution Data AnalystData Science ResearcherEnvironmental Risk Consultant
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University of Manchester
