PhD-QBM-BHDS Programme

The PhD Programme in Quantitative Biology and Medicine with concentration in Biostatistics and Health Data Science (PhD-QBM-BHDS) aims to:

  • Advance health and biomedical sciences through the development and application of innovative statistical and data science methods.
  • Train quantitative scientists who will master specialized areas in biostatistics and data science and their applications in health and biomedical research.

The PhD-QBM-BHDS programme is for students who have an undergraduate or a master’s degree in a quantitative discipline such as statistics, data science, engineering, demography and epidemiology.  Students in our programme will develop innovative statistical and data science solutions and apply them to solve real-life problems in health and biomedical sciences.

Major methodological research areas include:

  • Artificial intelligence and machine learning
  • Design and analysis of clinical trials, including adaptive and cluster trials
  • Dynamic treatment regime
  • Diagnostic medicine
  • High dimensional “omics” data
  • Pleiotropy studies
  • Recurrent events in cohort and case-control studies
  • Time-to-event analysis
  • Quantification of quality of life and subjective health outcomes

Major application areas include:

  • Big data analytics in healthcare
  • Clinical trials in chronic diseases
  • Emergency medicine
  • Genetic epidemiology
  • Quality of life in chronic diseases and palliative care
  • Medical devices
  • Vaccines and infectious diseases

PhD scholarship

PhD students will receive:

  • A scholarship covering 100% of tuition and fees.
  • A monthly stipend.
  • There is no service obligation (no bond).


The degree will take on average 4 to 5 years to complete. In years 1 and 2, students will complete a core set of study modules, an elective module, and a biomedical research internship. In year 2, students will also work towards developing their thesis projects and take a qualifying examination, which includes submission and defence of a research proposal. The remainder of the PhD training consists of the execution of the thesis project, culminating with the development of a written thesis and a successful oral dissertation defence. In addition, students will participate in a journal club in the first semester of every year.

Curriculum Requirement


GMS6801 – Study Designs in Clinical and Population Health Research


GMS6802 – Core Concepts in Biostatistics


GMS6821 – R-Programming


GMS6850 – Core Concepts in Bioinformatics


GMS6802 – Analysis of Complex Biomedical Data


GMS6804 – Biomedical Research Internship


Elective module, course code 5000 level or higher


GMS6800 – Integrated Biostatistics and Bioinformatics Journal Club


Thesis Research






If you have queries about the PhD Programme in Quantitative Biology and Medicine (QBM), please contact us at

PhD in Quantitative Biology and Medicine (QBM) Class of 2017    

I was drawn to the fact that the Centre of Quantitative Medicine (where the PhD programme is based) has a very strong focus on methodologies, which fit with my interest. The PhD programme also includes an internship which is quite unique, and will be very useful for a biostatistician to gain the right work experience during the PhD.”

-- Ms Yan Xiaoxi, M.Sc. and B.Sc. from University College London