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).


Curriculum

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

Credit

GMS6801 – Study Designs in Clinical and Population Health Research

4

GMS6802 – Core Concepts in Biostatistics

4

GMS6821 – R-Programming

Non-credit

GMS6850 – Core Concepts in Bioinformatics

4

GMS6802 – Analysis of Complex Biomedical Data

4

GMS6804 – Biomedical Research Internship

4

Elective module, course code 5000 level or higher

4

GMS6800 – Integrated Biostatistics and Bioinformatics Journal Club

1×4

Thesis Research

32

Total

60

 

Contact

If you have queries about the PhD Programme in Quantitative Biology and Medicine (QBM), please contact us at CQM@duke-nus.edu.sg

PhD in Quantitative Biology and Medicine (QBM) Class of 2017    
xiaoxi1

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