48 monthsProgramme duration
9,119 CADTuition Fee/year
15 Jan, 2025Application Deadline
SepStarting Month
Programme overview
Main Subject
Biological Sciences
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The Doctor of Philosophy (Ph.D.) in Quantitative Life Sciences offered by the Faculty of Medicine & Health Sciences and the Faculty of Science is a research-intensive program that emphasizes rigorous and interdisciplinary learning opportunities. The program's objective is to equip students with skills in literature synthesis, resourceful thinking, and the communication of complex ideas to pursue professional opportunities in academia or industry.
Keywords: systems biology, computational & mathematical biology, dynamic systems, quantitative ecology, computational genomics, bioinformatics and biostatistics, biophysics, imaging - spatial and temporal modelling, computational neuroscience.
Keywords: systems biology, computational & mathematical biology, dynamic systems, quantitative ecology, computational genomics, bioinformatics and biostatistics, biophysics, imaging - spatial and temporal modelling, computational neuroscience.
Programme overview
Main Subject
Biological Sciences
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The Doctor of Philosophy (Ph.D.) in Quantitative Life Sciences offered by the Faculty of Medicine & Health Sciences and the Faculty of Science is a research-intensive program that emphasizes rigorous and interdisciplinary learning opportunities. The program's objective is to equip students with skills in literature synthesis, resourceful thinking, and the communication of complex ideas to pursue professional opportunities in academia or industry.
Keywords: systems biology, computational & mathematical biology, dynamic systems, quantitative ecology, computational genomics, bioinformatics and biostatistics, biophysics, imaging - spatial and temporal modelling, computational neuroscience.
Keywords: systems biology, computational & mathematical biology, dynamic systems, quantitative ecology, computational genomics, bioinformatics and biostatistics, biophysics, imaging - spatial and temporal modelling, computational neuroscience.
Admission Requirements
3.7+
3.3+
86+
6.5+
Education
Quantitative Background
Life Sciences Background
- Applicants are expected to hold an undergraduate degree (or equivalent) in one of the following areas: biology, chemistry, physiology, genetics, engineering, computer science, mathematics, statistics, or physics.
- Although a Masters degree is not required, it may be an advantage.
- 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. For applicants applying directly from undergrad, a minimum Cumulative Grade Point Average of 3.7 is required.
Quantitative Background
- Applicants must have a strong quantitative background. Such a background may be obtained by having taken courses in computer science, mathematics, statistics, physics, chemistry, or engineering. Specifically, QLS requires at least the following competencies: advanced calculus, linear algebra, programming experience, data structures and algorithms, and statistics.
Life Sciences Background
- Applicants must have a strong life sciences background. Such a background may be obtained through coursework or a degree in biology, ecology, neuroscience, genetics, or any other life sciences domain.
- 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).
15 Jan 2025
4 Years
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
1,483 CAD
International
9,119 CAD
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