Quantitative Biology program requirements

What the Quantitative Biology Major requires, as the 2026-2027 Arts & Science Calendar states it, and every course it names.

Quantitative Biology Major

Science program
8.0 credits
Limited enrolment
ASMAJ2368

Enrolment

This is a limited enrolment program. Students must have completed 4.0 credits and meet the requirements listed below to enrol. The full enrolment requirements are on the Calendar's page for this program.

Completion requirements

(8.0 credits including at least 2.0 credits at the 300+ level, 0.5 of which must be at the 400 level)

First Year (2.5 credits): BIO120H1, BIO130H1, EEB125H1/ CSC108H1/ CSC148H1/ CSC110Y1, (MAT130H1/ MAT135H1, MAT136H1)/(MAT148H1, MAT149H1)/ MAT137Y1/ (MAT158H1, MAT159H1)/ MAT157Y1

Higher Years (5.5 credits):

11.5 credits: BIO220H1, BIO230H1/ BIO255H1, BIO260H1/ HMB265H1

21.0 credit in introductory probability and statistics: EEB225H1, GGR270H1, PSY201H1, PSY202H1, STA220H1, STA221H1, STA237H1, STA238H1, STA247H1, STA248H1, STA255H1, STA257H1, STA261H1, STA288H1

30.5 credit in intermediate math: APM236H1, MAT221H1/ MAT223H1/ MAT240H1, MAT224H1, MAT235H1/ MAT237Y1, MAT247H1

41.0 credit from: CSB352H1, EEB319H1, EEB323H1, EEB324H1, EEB362H1, GGR372H1, GGR373H1, PHY331H1

51.0 credit from: APM346H1, APM446H1, APM461H1, APM462H1, CSB472H1, CSC311H1, CSC320H1, CSC336H1, CSC343H1, CSC373H1, CSC384H1, CSC401H1, CSC412H1, CSC413H1, CSC420H1, EEB313H1, EEB314H1, EEB458H1, EEB459H1, EEB460H1, EEB462H1, EEB463H1, EEB498Y1, EEB499Y1, MAT332H1, MAT335H1, MAT344H1, MAT351Y1, MGY428H1, PHY431H1, PSY305H1, STA302H1, STA303H1, STA304H1, STA305H1, STA355H1, STA365H1, STA480H1

60.5 credit at 400 level from: BCB410H1, BCB420H1, CSB435H1, CSB472H1, CSB498Y1, CSB499Y1, EEB458H1, EEB459H1, EEB460H1, EEB462H1, EEB463H1, EEB498Y1, EEB499Y1, MGY441H1, PHY431H1, PSY474H1, STA480H1

Courses these requirements name

BIO120H1Adaptation and Biodiversity
BIO130H1Molecular and Cell Biology
EEB125H1Introductory Computation and Data Science for the Life Sciences
CSC108H1Introduction to Computer Programming
CSC148H1Introduction to Computer Science
CSC110Y1Foundations of Computer Science I
MAT130H1Calculus I for Life Sciences
MAT135H1Calculus I
MAT136H1Calculus II
MAT148H1Calculus I with Proofs
MAT149H1Calculus II with Proofs
MAT137Y1Calculus with Proofs last in the 2025-2026 Calendar
MAT158H1Analysis 1A
MAT159H1Analysis 1B
MAT157Y1Analysis I last in the 2025-2026 Calendar
BIO220H1From Genomes to Ecosystems in a Changing World
BIO230H1From Genes to Organisms
BIO255H1From Genes to Organisms with Advanced Laboratory
BIO260H1Concepts in Genetics
HMB265H1General & Human Genetics
EEB225H1Biostatistics for Biological Sciences
GGR270H1Introductory Analytical Methods
PSY201H1Statistics I
PSY202H1Statistics II
STA220H1The Practice of Statistics I
STA221H1The Practice of Statistics II
STA237H1Probability, Statistics and Data Analysis I
STA238H1Probability, Statistics and Data Analysis II
STA247H1Probability with Computer Applications
STA248H1Statistics for Computer Scientists
STA255H1Statistical Theory
STA257H1Probability and Statistics I
STA261H1Probability and Statistics II
STA288H1Statistics and Scientific Inquiry in the Life Sciences
APM236H1Applications of Linear Programming
MAT221H1Applied Linear Algebra
MAT223H1Linear Algebra I
MAT240H1Algebra I
MAT224H1Linear Algebra II
MAT235H1Vector Calculus I
MAT237Y1Multivariable Calculus with Proofs
MAT247H1Algebra II
CSB352H1Bioinformatic Methods
EEB319H1Population Ecology
EEB323H1Evolutionary Genetics
EEB324H1Evolutionary Ecology
EEB362H1Macroevolution
GGR372H1GIS for Public Health
GGR373H1Advanced Geographic Information Systems
PHY331H1Introduction to Biological Physics
APM346H1Partial Differential Equations
APM446H1Applied Nonlinear Equations
APM461H1Combinatorial Methods
APM462H1Nonlinear Optimization
CSB472H1Computational Genomics and Bioinformatics
CSC311H1Introduction to Machine Learning
CSC320H1Introduction to Visual Computing
CSC336H1Numerical Methods
CSC343H1Introduction to Databases
CSC373H1Algorithm Design, Analysis & Complexity
CSC384H1Introduction to Artificial Intelligence
CSC401H1Natural Language Computing
CSC412H1Probabilistic Learning and Reasoning
CSC413H1Neural Networks and Deep Learning
CSC420H1Introduction to Image Understanding
EEB313H1Quantitative Methods in R for Biology
EEB314H1Modeling in Ecology and Evolution
EEB458H1Evolutionary Quantitative Genetics
EEB459H1Population Genetics
EEB460H1Molecular Evolution and Genomics
EEB462H1Phylogenetic Inference: Methods and Applications
EEB463H1Computing Stochastic Models in Evolutionary Biology
EEB498Y1Advanced Research Project in Ecology and Evolutionary Biology
EEB499Y1Advanced Research Project in Ecology and Evolutionary Biology II
MAT332H1Introduction to Graph Theory
MAT335H1Chaos, Fractals and Dynamics
MAT344H1Introduction to Combinatorics
MAT351Y1Partial Differential Equations
MGY428H1Functional Genomics
PHY431H1Topics in Biological Physics
PSY305H1The Treatment of Psychological Data
STA302H1Methods of Data Analysis I
STA303H1Methods of Data Analysis II
STA304H1Surveys, Sampling and Observational Data
STA305H1Design and Analysis of Experiments
STA355H1Theory of Statistical Practice
STA365H1Applied Bayesian Statistics
STA480H1Fundamentals of Statistical Genetics
BCB410H1Applied Bioinformatics
BCB420H1Computational Systems Biology
CSB435H1Regulatory Networks and Systems in Molecular Biology
CSB498Y1Independent Research in Cell and Systems Biology I
CSB499Y1Independent Research in Cell and Systems Biology II
MGY441H1Bioinformatics
PSY474H1Computation in Psychology

Check your progress in Atlas Quantitative Biology Major in the Calendar

Requirements are quoted from the 2026-2027 Arts & Science Calendar, which is the official version. Atlas is independent of U of T, so confirm important decisions with your department or college registrar. See how to read program requirements or browse every program.

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