Courses
Further information about courses, including links to the full course outlines.
Credit-bearing courses are open to all but there are entry requirements. The courses include formal assessment and University credit will be awarded to those who pass. If you are interested in further study, you may be able to use credits achieved towards postgraduate study within a limited time, subject to approval by the relevant Programme Director.
Data Ethics in Health and Social Care (January 2024)
Data Visualisation: Knowledge Transfer (April 2024)
Data Science for Manufacturing
Data Science for Manufacturing (January 2024)
Earth Observation for Sustainable Development Goals (April 2024)
Foundations of Nutritional Epidemiology (February 2024)
Health Data Science (January 2024)
Health Data Science (April 2024)
Innovation-Driven Entrepreneurship (January 2024)
Introduction to Python Programming for Data Science (January 2024)
Leading Technology and Innovation in Organisations
Making science relevant to policy and decision-making (January 2024)
Practical Introduction to Data Science
Probability and Statistics (January 2024)
Systems Thinking in Health and Social Care
Understanding Planetary Health & Data: An Introduction to the Concepts and Themes (February 2024)
User-Driven Service Design in Health and Social Care (January 2024)
Non-credit-bearing courses are open to all and there are no entry requirements. Most courses have no formal assessment.
Climate Change Risk in Finance
Data Carpentry - Data Cleaning and Organising with Python
Data Carpentry - Data Cleaning and Organising with Python (March 2024)
Data Carpentry - Data Cleaning and Organising with R
Data Carpentry - Data Cleaning and Organising with R (April 2024)
Data Science for Football Professionals (November 2023)
Data Carpentry - R, Regular Expressions, SQL (December 2023)
Data Carpentry - R, Regular Expressions, SQL (May 2024)
Data Management Fundamentals: A Beginner's Guide to Data Success
High-Dimensional Statistics with R (June 2024)
Introduction to Big Data and Analytics in Marketing
Introduction to Data Ethics for Business