PhD Program in Quantitative Life Sciences
Welcome to the PhD Program in Quantitative Life Sciences - an interfaculty, interdepartmental and interdisciplinary graduate program. Our PhD students will address the most important and challenging problems in life sciences fields such as biology, medicine, and the environment, and help solve them by building and implementing the latest mathematical, statistical, computational and/or quantitative approaches. This program brings together students and researchers across all scientific disciplines and university faculties.
QLS Program Requirements
The general objective of the Ph.D. Program in Quantitative Life Science is to educate students who are at the cutting edge of quantitative approaches (technological, computational, and statistical) for the collection, analysis, and interpretation of complex data from life sciences. Our students will ask questions that will drive biology and medicine tomorrow, and will be equipped to answer them. Research domains can encompass all of the life sciences, from molecules to ecosystems.
The Ph.D. Program requirements include coursework, research seminars, a lab rotation program, annual advisory committee meetings, a comprehensive exam, a research thesis and an oral defense.
- Applicants are expected to hold an undergraduate degree in one of the following areas (or equivalent): Biology, chemistry, physiology, genetics, engineering, computer science, mathematics, statistics, or physics.
- Applicants must have a strong quantitative background. Such a background may be obtained by having at least the equivalent of a minor in computer science, mathematics, statistics, physics, chemistry or engineering.
- Applicants who do not have a formal education in life sciences need to have a demonstrated interest for that field, for example in the form of an undergraduate research project or the completion of life-science courses.
- Applicants are expected to have attained a high scholastic standing equal to, or greater than, the minimum Cumulative Grade Point Average of 3.3 (out of 4.0 at McGill University) in ALL levels of study.
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