Health Data Science and Data Analytics in Healthcare (Level 2)

Health Data Science is an exciting new area that combines scientific inquiry, statistical knowledge, substantive expertise, and computer programming in the area of healthcare and biomedicine. One of the main challenges for businesses, research institutes, and policy makers when using big health data is to find people with the appropriate skills. Students taking this module will be introduced to the most fundamental data analytic tools and techniques, and learn how to use specialised software to analyse real-world health data.

Course leader

Dr. Holger Kunz, Dr. Spiros Denaxas, Dr Arturo Gonzalez-Izquierdo, Dr Johan Hilge Thygesen

Target group

This is a level two module (equivalent to second year undergraduate). In addition to the standard UCL Summer School entry criteria, applicants will be expected to have successfully completed at least one undergraduate level module either in biomedicine or in a quantitative subject.

Course aim

Upon successful completion of this module, students will:

Have a sound understanding of the field of health data science and develop the ability to analyse real-world data using some of its main methods;
Applying classification to predict class labels for new feature vectors;
Become comfortable applying regression models for continuous and limited outcome variables;
Explore more complex models such as ensembles;
Develop familiarity with descriptive and predictive analytics, and their application to big health data problems;
Explore methods of unsupervised learning and clustering;
Have received a solid foundation for more advanced or more specialised study and research.

Credits info

7.5 EC
7.5 ECTS, 4 US, 15 UCL

Fee info

GBP 2350: There is a built-in tuition fee discount for students who study for 6 weeks (both sessions)