O que eu aprenderei?

Quantitative Life Sciences is the broad application of mathematical, computational, and other quantitative methods to study biological systems at all scales—from single molecules to the environment. It is part of a rapidly expanding field that includes such specializations as systems biology, bioinformatics, biophysics, medical informatics, computational biology, computational pharmacology, computational neuroscience, and mathematical biology.

Program Requirements
Required Courses (6 credits)

QLSC 600D1 Foundations of Quantitative Life Sciences (3 credits)
QLSC 600D2 Foundations of Quantitative Life Sciences (3 credits)
QLSC 601D1 Quantitative Life Sciences Seminars 1
QLSC 601D2 Quantitative Life Sciences Seminars 1
QLSC 602D1 Quantitative Life Sciences Seminars 2
QLSC 602D2 Quantitative Life Sciences Seminars 2
QLSC 603D1 Quantitative Life Sciences Seminars 3
QLSC 603D2 Quantitative Life Sciences Seminars 3
QLSC 701 Ph.D. Comprehensive Exam

Complementary Courses

9-11 credits

Students will be required to take one or two courses from each of the Quantitative and Life Science Blocks for a total of three, stream-specific courses.

Biophysics Stream

Quantitative

BIEN 530 Imaging and Bioanalytical Instrumentation (3 credits)
BMDE 512 Finite-Element Modelling in Biomedical Engineering (3 credits)
BMDE 519 Biomedical Signals and Systems (3 credits)
CHEM 514 Biophysical Chemistry (3 credits)
CHEM 520 Methods in Chemical Biology (3 credits)
COMP 551 Applied Machine Learning (4 credits)
MATH 682 Statistical Inference (4 credits)
PHYS 519 Advanced Biophysics (3 credits)
PHYS 559 Advanced Statistical Mechanics (3 credits)
QLSC 611 Directed Readings (3 credits)

Life Sciences

BIOC 605 Protein Biology and Proteomics (3 credits)
BIOL 551 Principles of Cellular Control (3 credits)
PHGY 518 Artificial Cells (3 credits)
PHGY 520 Ion Channels (3 credits)
QLSC 611 Directed Readings (3 credits)

Computational and Statistical Molecular Biology Stream

Quantitative

BIOS 601 Epidemiology: Introduction and Statistical Models (4 credits)
BMDE 502 BME Modelling and Identification (3 credits)
COMP 551 Applied Machine Learning (4 credits)
COMP 561 Computational Biology Methods and Research (4 credits)
COMP 598 Topics in Computer Science 1 (3 credits)
HGEN 677 Statistical Concepts in Genetic and Genomic Analysis (3 credits)
MATH 523 Generalized Linear Models (4 credits)
MATH 533 Regression and Analysis of Variance (4 credits)
MATH 680 Computation Intensive Statistics (4 credits)
MATH 682 Statistical Inference (4 credits)
QLSC 611 Directed Readings (3 credits)

De qual departamento farei parte?

McGill University

Opções de estudo

Período integral (4 anos)

Valores
CAD$16.122,00 (R$ 67.896) por ano
CAN $537.40 per credit hour
Data de início

2 Setembro 2021

Localização

McGill University

Downtown Campus,

845 Sherbrooke Street West,

MONTREAL,

Quebec (QC),

H3A 0G4, Canada

Requisitos de admissão

Para estudantes do(s)/da Estados Unidos

Applicants must have earned an accredited or recognized university degree (equivalent to a McGill undergraduate degree, Bachelor’s) which would serve as a basis of admission to a graduate degree program at a recognized research-intensive university in the same country. The university degree must have been completed with a minimum standing of 3.0/4.0 or the equivalent, according to grading scale on the transcript. Other English Language Requirements: 567 PBT (paper based test); MELAB (Michigan English Language Assessment Battery): a mark of 85% or higher; University of Cambridge ESOL Certificate in Advanced English (CAE): a grade of “B” (Good) or higher; University of Cambridge ESOL Certificate of Proficiency in English (CPE): a grade of “C” (Pass) or higher; Edexcel London Test of English – Level 4 – with an overall grade of at least “Merit Pass”; Edexcel London Test of English – Level 5 – with an overall grade of at least “Pass”; McGill Certificate of Proficiency in English or McGill Certificate of Proficiency – English for Professional Communication: Certificate of Proficiency awarded.

Para estudantes internacionais

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.

English Language Scores:

TOEFL (Test of English as a Foreign Language): minimum acceptable scores are: The CBT is no longer being offered. CBT results will no longer be accepted as ETS no longer reports these results. N.B. an institutional version of the TOEFL is not acceptable.
IBT (Internet-Based Test): 86 overall, no less than 20 in each of the four component scores
PBT (Paper-Based Test): 567

IELTS (International English Language Testing System): a band score of 6.5 or greater (Academic module)

Application Deadline: For Fall Term: March 15.

Os requisitos para o IELTS podem variar de acordo com o curso que você escolher.

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