Prospective Grad Students

We are always on the lookout for bright graduate students. If you are passionate about health data science research and what you see on this website interests you, you are likely a good fit for HDSL. You should have experience and knowledge in several of the following areas:

  • Machine learning
  • Data mining
  • Statistics
  • Longitudinal data analysis
  • Data visualization
  • Statistical modelling
  • Graph/network analysis
  • Health research
  • Health decision support
  • Computer programming (e.g. Java, Python, R)
  • Relational databases (e.g., PostgreSQL)
  • High-performance computing
  • Big data analytics (e.g., Map-Reduce, Hadoop, Spark)
  • mHealth

You would be joining us as a student in the School of Public Health and Health Systems or Department of Statistics and Actuarial Science (click for admission information).

If you feel that you fit the bill, please contact Joel.