• Master of Science in Health Data Analytics and Machine Learning at Imperial College London is a 1-year program.
  • It is an on-campus, 90 credits program offered on a full-time basis.
  • MSc in Health Data Analytics and Machine Learning is delivered in partnership with the Data Science Institute.
  • The main objective of the program is to develop skills in using appropriate cutting edge quantitative methods to fully exploit complex and high dimensional data.
  • The course is divided between 6 core taught modules and one 6-month research project.
  • The course is delivered in collaboration with the Data Science Institute, with teaching from both the School and Institute undertaken by international experts with strong methodological background and expertise.
  • Students have to complete an individual research project in the last most of the program.
  • The project is a 6-month research project that includes project-based work.
  • This program runs from October-September month.
  • In term one, students share the first two modules with MSc Epidemiology and Master of Public Health students, ensuring a common foundation in epidemiology.
  • Term two focuses on statistical methods in the three remaining core modules, as well as continuing in-depth planning for the research project.
  • Students are prepared to pursue further study at the doctoral level, become an expert analyst in the industry, and join large data companies.