Your input will help us improve your experience.You can close this popup to continue using the website or choose an option below to register in or login.
Biostatistics and bioinformatics are increasingly important areas for advancement of biomedical research. There is high demand for trained professionals in these areas, locally and internationally.
Biostatistics and health data science is responsible for experimental design, data analysis, and evidence synthesis and interpretation for answering questions in translational, clinical, epidemiological and health services research. Recent years have seen major changes in the medical landscape, such as the needs for rapid responses to infectious diseases, personalised medicine, and the availability and connectivity of big data. They demand innovative approaches to statistical problem solving. Some examples include adaptive clinical trial designs, dynamic treatment regimes, and high-dimensional data analysis methods.
Computational biology is an integration of data analytics, statistics, machine learning, modelling, software engineering, and computer science to answer questions in basic and translational biomedical research. The explosion of demand for bioinformatics in the last five years has been driven partly by huge decreases in the cost of next generation DNA sequencing, which is 10,000 times cheaper than it was in 20061. As a result, next-generation sequencing is now a foundational technology for much of biological research. The rapid development of many other high throughput technologies is also driving demand for bioinformatics experts.
Duke-NUS will launch its inaugural PhD programme in Quantitative Biology and Medicine (QBM) in August 2017. The programme distinguishes itself from others by focusing on issues in modern biomedical research and preparing researchers to take their skills to advance medicine.
Students will complete their training in Duke-NUS’ Centre for Quantitative Medicine (Biostatistics and Health Data Science) and Centre for Computational Biology (Computational Biology).
The degree, which will take on average 4.5 years to complete, culminates with the development of a written thesis and a successful oral dissertation defense.
Programme overview
Main Subject
Biological Sciences
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Biostatistics and bioinformatics are increasingly important areas for advancement of biomedical research. There is high demand for trained professionals in these areas, locally and internationally.
Biostatistics and health data science is responsible for experimental design, data analysis, and evidence synthesis and interpretation for answering questions in translational, clinical, epidemiological and health services research. Recent years have seen major changes in the medical landscape, such as the needs for rapid responses to infectious diseases, personalised medicine, and the availability and connectivity of big data. They demand innovative approaches to statistical problem solving. Some examples include adaptive clinical trial designs, dynamic treatment regimes, and high-dimensional data analysis methods.
Computational biology is an integration of data analytics, statistics, machine learning, modelling, software engineering, and computer science to answer questions in basic and translational biomedical research. The explosion of demand for bioinformatics in the last five years has been driven partly by huge decreases in the cost of next generation DNA sequencing, which is 10,000 times cheaper than it was in 20061. As a result, next-generation sequencing is now a foundational technology for much of biological research. The rapid development of many other high throughput technologies is also driving demand for bioinformatics experts.
Duke-NUS will launch its inaugural PhD programme in Quantitative Biology and Medicine (QBM) in August 2017. The programme distinguishes itself from others by focusing on issues in modern biomedical research and preparing researchers to take their skills to advance medicine.
Students will complete their training in Duke-NUS’ Centre for Quantitative Medicine (Biostatistics and Health Data Science) and Centre for Computational Biology (Computational Biology).
The degree, which will take on average 4.5 years to complete, culminates with the development of a written thesis and a successful oral dissertation defense.
Admission Requirements
7+
85+
54 Months
Aug
Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
76,950 SGD
International
80,500 SGD
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
PhD in Quantitative Biology and Medicine
Duke-NUS Medical School, Singapore, Singapore
54 monthsProgramme duration
80,500 SGDTuition Fee/year
Biological SciencesMain Subject Area
Programme overview
Main Subject
Biological Sciences
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Biostatistics and bioinformatics are increasingly important areas for advancement of biomedical research. There is high demand for trained professionals in these areas, locally and internationally.
Biostatistics and health data science is responsible for experimental design, data analysis, and evidence synthesis and interpretation for answering questions in translational, clinical, epidemiological and health services research. Recent years have seen major changes in the medical landscape, such as the needs for rapid responses to infectious diseases, personalised medicine, and the availability and connectivity of big data. They demand innovative approaches to statistical problem solving. Some examples include adaptive clinical trial designs, dynamic treatment regimes, and high-dimensional data analysis methods.
Computational biology is an integration of data analytics, statistics, machine learning, modelling, software engineering, and computer science to answer questions in basic and translational biomedical research. The explosion of demand for bioinformatics in the last five years has been driven partly by huge decreases in the cost of next generation DNA sequencing, which is 10,000 times cheaper than it was in 20061. As a result, next-generation sequencing is now a foundational technology for much of biological research. The rapid development of many other high throughput technologies is also driving demand for bioinformatics experts.
Duke-NUS will launch its inaugural PhD programme in Quantitative Biology and Medicine (QBM) in August 2017. The programme distinguishes itself from others by focusing on issues in modern biomedical research and preparing researchers to take their skills to advance medicine.
Students will complete their training in Duke-NUS’ Centre for Quantitative Medicine (Biostatistics and Health Data Science) and Centre for Computational Biology (Computational Biology).
The degree, which will take on average 4.5 years to complete, culminates with the development of a written thesis and a successful oral dissertation defense.
Programme overview
Main Subject
Biological Sciences
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Biostatistics and bioinformatics are increasingly important areas for advancement of biomedical research. There is high demand for trained professionals in these areas, locally and internationally.
Biostatistics and health data science is responsible for experimental design, data analysis, and evidence synthesis and interpretation for answering questions in translational, clinical, epidemiological and health services research. Recent years have seen major changes in the medical landscape, such as the needs for rapid responses to infectious diseases, personalised medicine, and the availability and connectivity of big data. They demand innovative approaches to statistical problem solving. Some examples include adaptive clinical trial designs, dynamic treatment regimes, and high-dimensional data analysis methods.
Computational biology is an integration of data analytics, statistics, machine learning, modelling, software engineering, and computer science to answer questions in basic and translational biomedical research. The explosion of demand for bioinformatics in the last five years has been driven partly by huge decreases in the cost of next generation DNA sequencing, which is 10,000 times cheaper than it was in 20061. As a result, next-generation sequencing is now a foundational technology for much of biological research. The rapid development of many other high throughput technologies is also driving demand for bioinformatics experts.
Duke-NUS will launch its inaugural PhD programme in Quantitative Biology and Medicine (QBM) in August 2017. The programme distinguishes itself from others by focusing on issues in modern biomedical research and preparing researchers to take their skills to advance medicine.
Students will complete their training in Duke-NUS’ Centre for Quantitative Medicine (Biostatistics and Health Data Science) and Centre for Computational Biology (Computational Biology).
The degree, which will take on average 4.5 years to complete, culminates with the development of a written thesis and a successful oral dissertation defense.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
More programmes from the university
Life Sciences and Medicine (1)
Duke-NUS Doctor of Medicine
Duke-NUS Doctor of Medicine
Executive Master in Healthcare Leadership and Management
Executive Master in Healthcare Leadership and Management
Life Sciences and Medicine (1)
PhD in Clinical and Translational Sciences
PhD in Clinical and Translational Sciences
PhD in Integrated Biology and Medicine
PhD in Integrated Biology and Medicine
PhD in Quantitative Biology and Medicine
PhD in Quantitative Biology and Medicine