Applied Data Science and Modelling The University of Exeter

Overview

Key Selling Points

• Our Centre for Computational Social Science uses the latest quantitative methods to study real-world issues in social sciences

• Partner to the Alan Turing Institute

• Home to Exeter's Institute for Data Science and Artificial Intelligence

• Courses developed in collaboration with industry, using current methods, platforms, software and real-world data

Within this Applied Data Science and Modelling MSc programme from The University of Exeter you'll:

• Gain an understanding of and confidence in using real-world data and mathematical models to address the big societal issues of the 21st Century

• Based at our stunning Penryn Campus in Cornwall from The University of Exeter, this interdisciplinary Applied Data Science and Modelling programme is run by the departments of Mathematics in collaboration with science and engineering

• Benefit from an interdisciplinary and outward facing programme which encourages and supports you to collaborate with industry, charities or public sector organisations

• Put your enhanced data science and modelling skills into practice by completing an advanced project

• Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors particularly in relation to sustainability challenges

Career opportunities:

Internationally, many other countries are making similar investments with major industrial nations including the US, India and China investing heavily in renewable generation. This investment will create broad opportunities for those seeking to work in the sector, both nationally and internationally.

• Data science, modelling and essential programming skills and how to apply these to The United Nations sustainable development goals

• Ability to extract information from data as a basis for evidence-based decision making

• Working with stakeholders and advanced team-working skills in complex organisations

• Using digital media to convert complex data sets into useful information to engage with the lay public and specialists