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Foundational Insights
Develops scientific literacy through interdisciplinary exploration of core concepts across physics, chemistry, biology, and planetary systems.
Science in Society
Examines the ethical, historical, and societal dimensions of science, cultivating critical thinking and Science, Technology, and Society (STS) literacy.
Expanding Frontiers
Challenges students to tackle complex, cross-disciplinary problems in areas such as sustainability, biotechnology, and technological innovation.
Category
Courses
Curiosity - Foundational Insights:
Building the Architecture of Scientific Understanding
NS200 Energy and Matter in Systems
NS202 Atoms to Systems
NS221 A Study of Life
NS331 Earth Systems and Climate Science
XD221 Quantitative Modeling in Social and Natural Sciences
Progress - Expanding Frontiers
Advanced Interdisciplinary Exploration
NS311 Thermodynamics & Sustainable Energy Systems
NS312 Smart Systems for a Sustainable Future
NS321 Genetics and Biotechnology
NS332 Ecology and Environmental Sustainability
NS200 Energy and Matter in Systems
Covers fundamental principles of physics and energy and their roles in natural and technological systems, with virtual experiments illustrating atomic to planetary phenomena.
NS202 Atoms to Systems
Explores how atomic transformations drive change across biological, environmental, and energy systems, revealing the chemical foundations of progress and societal impact.
NS221 A Study of Life
Explores the fundamentals of life science – including basic cell biology, biochemistry, evolution and ecology – to understand how molecular interactions give rise to interconnected living systems, with virtual lab simulations
NS331 Earth Systems and Climate Science
Examines Earth's dynamic systems (atmosphere, oceans, land, and biosphere) and the science of climate change, using data-driven virtual labs to analyse environmental patterns and global change.
XD221 Quantitative Modeling in the Sciences
Introduces mathematical and computational tools for modeling complex systems across natural and human-driven domains, equipping students with interdisciplinary problem-solving skills applicable to science, technology, and society.
XD231 Experimental Design and Statistics: Scientific Inquiry & Methodology
This course introduces experimental design and statistical analysis for data science and AI. Students develop practical skills in research planning, data analysis, and ethical considerations through hands-on, collaborative projects, preparing them to conduct rigorous, impactful research.