Master of Science (Data Science for Sustainability)
About This Course
The programme uniquely combines the disciplines of data science and sustainability to deliver a holistic educational experience. It offers an interdisciplinary perspective and provides students with foundational knowledge in sustainability, data science methods and techniques, systems thinking, and practical project experience. Throughout the program, students will learn to apply statistical and data science methodologies to sustainability data, analyze and manage large geospatial datasets, and articulate their findings compellingly using advanced data visualization tools. This will be combined with real-world project experience, ensuring that our graduates can translate theoretical knowledge into practical solutions. Depending on their interests and career goals, students can choose to dive into various domains, such as environmental science and conservation, sustainable finance and investment, social and community sustainability, environmental economics, public policy and governance for sustainability, and others.
What You'll Learn
Students need to complete courses comprising two essential core courses (8 units) and elective courses amounting up to 20 units, and either one research project or internship course (12 units).
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Entry Requirements
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