Related courses of interest

For students who want to immerse themselves in the “Big Data revolution” and develop expertise in data-driven perspectives on ecology, evolution, conservation, biodiversity, and epidemiology. Visit the Applied Data Science (Ecology and Evolution) MSc course page to learn more.

For students who want to develop an understanding of state-of-the-art modelling, emergent data science techniques, and explore economic, environmental, and societal issues surrounding sustainability practices and policies. Visit the Applied Data Science (Environment and Sustainability) MSc course page to learn more.

For students who want to immerse themselves in the “Big Data revolution” and develop state-of-the-art data science and AI skills alongside expertise in emerging renewable technologies. Visit the Applied Data Science (Renewable Energy) MSc course page to learn more.

For students who want to gain an understanding of and confidence in using real-world data and mathematical models to address the big societal issues of the 21^st Century, and put their enhanced data science and modelling skills into practice by completing an advanced project. Visit the Applied Data Science and Modelling MSc course page to learn more.

For students who want to work with and derive meaning from data, but without prior programming experience. You’ll have the opportunity to learn a variety of languages essential to Data Science, including R and Python. Visit the Applied Data Science and Statistics MSc course page to learn more.