PhD Program In Quantitative Life Sciences 2020, McGill University, Canada

Publish Date: Nov 30, 2019

Deadline: Jan 15, 2020

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 Quantitative Life Sciences Ph.D. Program is a novel inter-department and inter-faculty program designed to produce the next generation of leaders in the rapidly changing world of biology, medicine and biotechnology.  This program has been designed from the ground-up with close consultation with all stakeholders to produce graduates with the quantitative and interdisciplinary skills that Quebec and Canada need to maintain their positions as world-leaders in bio- and life-science research.

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.

Admission Requirements

  1. 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.
  2. 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.
  3. 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.
  4. 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 more information click "LINK TO ORIGINAL" below. 

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