Atlas
Sign up Open Atlas

Applied Data Science program requirements

What the Applied Data Science Minor requires, as the 2026-2027 Arts & Science Calendar states it, and every course it names.

Applied Data Science Minor

  • Science program
  • 4.0 credits
  • Limited enrolment
  • ASMIN0160

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

(4.0 credits)

1EEB125H1/ ENG286H1/ GGR274H1/ ESS245H1/ STA130H1

20.5 credit from CSC108H1/ CSC110Y1/ CSC148H1

30.5 credit from ECO220Y1/ EEB225H1/ GGR270H1/ IRW220H1/ PSY201H1/ SOC202H1/ STA220H1/ STA238H1/ STA248H1/ STA261H1/ STA288H1/ POL222H1

Note 1Note: If you completed STA238H1, STA248H1, and/or STA261H1 before being admitted to the Minor, please note that these courses are exclusions to EEB125H1, ENG286H1, GGR274H1, and STA130H1. You can complete ESS245H1 to meet requirement 1 or can instead complete an additional 0.5 credit from the list of courses in requirement 7, for a total of 1.5 credits for requirement 7.

If you completed CSC148H1 before being admitted to the Minor, please note that this course is an exclusion to EEB125H1, ENG286H1, and GGR274H1. You can complete ESS245H1 or STA130H1 to meet requirement 1 or can instead complete an additional 0.5 credit from the list of courses in requirement 7, for a total of 1.5 credits for requirement 7.

4CSC271H1 (first offering in 2025-26)

5STA272H1 (first offering in 2025-26)

6PHL277H1/ PHL377H1/ HPS246H1/ CSC300H1

7At least 1.0 credit from the following courses: BCB410H1/ BCB420H1/ CHM326H1/ CHM328H1/ CSB352H1/ CSB435H1/ CSB434H1/ CSB471H1/ CSB472H1/ DHU338H1/ ECO353H1/ ECO372H1/ ECO374H1/ ECO375H1/ EEB313H1/ EEB319H1/ EEB365H1/ EEB458H1/ EEB460H1/ EEB463H1/ ENV338H1/ ESS452H1/ GGR315H1/ GGR372H1/ GGR373H1/ GGR375H1/ GGR376H1/ GGR377H1/ GGR415H1/ GGR462H1/ GGR472H1/ GGR473H1/ IMM360H1/ IRE379H1/ JFL484H1/ JGA305H1/ JPM400Y1/ LIN305H1/ LIN405H1/ LIN456H1/ MGY441H1/ POL314H1/ POL352H1/ POL332H1/ POL414H1/ POL483H1/ PCL367H1/ PCL368H1/ PSL432H1/ PSY305H1/ PSY319H1/ PSY329H1/ PSY339H1/ PSY349H1/ PSY359H1/ PSY369H1/ PSY379H1/ SOC303H1/ 0.5 or 1.0 credits from a 300-/400-level capstone, topics, or independent study course(s) in which students apply data science methodologies, and with prior approval from the Associate Chair, Undergraduate Studies (Statistics). Courses listed in requirement 7 are offered by academic units across the Faculty of Arts & Science. Please review the prerequisites and enrolment controls for the course(s) that you are planning to take to complete this requirement. Course enrolment controls are listed in the University’s Timetable Builder. Course descriptions, prerequisites, corequisites, and exclusions are listed in both in the Timetable Builder and in the Faculty of Arts & Science Academic Calendar.

Courses these requirements name

  • EEB125H1Introductory Computation and Data Science for the Life Sciences
  • ENG286H1Literature and Data
  • GGR274H1Introductory Computation and Data Science for the Social Sciences
  • ESS245H1Computational Geology
  • STA130H1An Introduction to Statistical Reasoning and Data Science
  • CSC108H1Introduction to Computer Programming
  • CSC110Y1Foundations of Computer Science I
  • CSC148H1Introduction to Computer Science
  • ECO220Y1Introduction to Data Analysis and Applied Econometrics
  • EEB225H1Biostatistics for Biological Sciences
  • GGR270H1Introductory Analytical Methods
  • IRW220H1Statistics for Work and Organizations
  • PSY201H1Statistics I
  • SOC202H1Introduction to Quantitative Methods in Sociology
  • STA220H1The Practice of Statistics I
  • STA238H1Probability, Statistics and Data Analysis II
  • STA248H1Statistics for Computer Scientists
  • STA261H1Probability and Statistics II
  • STA288H1Statistics and Scientific Inquiry in the Life Sciences
  • POL222H1Introduction to Quantitative Reasoning I
  • CSC271H1Computational Principles and Methods for Data Science
  • STA272H1Statistical Models for Data Science
  • PHL277H1Ethics and Data
  • PHL377H1Ethical Issues in Big Data
  • HPS246H1Data and Society: What's Behind the Numbers?
  • CSC300H1Computers and Society
  • BCB410H1Applied Bioinformatics
  • BCB420H1Computational Systems Biology
  • CHM326H1Introductory Quantum Mechanics and Spectroscopy
  • CHM328H1Modern Physical Chemistry
  • CSB352H1Bioinformatic Methods
  • CSB435H1Regulatory Networks and Systems in Molecular Biology
  • CSB434H1Advanced Methods in Systems Neuroscience
  • CSB471H1Foundational Discoveries in Genome Biology and Bioinformatics: AlphaFold2 and its implications
  • CSB472H1Computational Genomics and Bioinformatics
  • DHU338H1Data: Access, Creation, Curation, and Interpretation
  • ECO353H1Special Topics in Economics with Data Analytics
  • ECO372H1Data Analysis and Applied Econometrics in Practice
  • ECO374H1Forecasting and Time Series Econometrics
  • ECO375H1Applied Econometrics I
  • EEB313H1Quantitative Methods in R for Biology
  • EEB319H1Population Ecology
  • EEB365H1Topics in Applied Conservation Biology
  • EEB458H1Evolutionary Quantitative Genetics
  • EEB460H1Molecular Evolution and Genomics
  • EEB463H1Computing Stochastic Models in Evolutionary Biology
  • ENV338H1Environmental Research Data and Decision-making
  • ESS452H1Electrical and Electromagnetic Imaging
  • GGR315H1Environmental Remote Sensing
  • GGR372H1GIS for Public Health
  • GGR373H1Advanced Geographic Information Systems
  • GGR375H1Introduction to Programming in GIS
  • GGR376H1Geovisualization
  • GGR377H1Introduction to Urban Data Analytics
  • GGR415H1Advanced Remote Sensing
  • GGR462H1GIS Research Project
  • GGR472H1Developing Web Maps
  • GGR473H1Geospatial Big Data
  • IMM360H1Scientific Methods and Research in Immunology
  • IRE379H1Research and Data Analytics
  • JFL484H1Computational Tools for Language Corpora
  • JGA305H1Environmental and Archaeological Geophysics
  • JPM400Y1Biomedical Incubator Capstone Project
  • LIN305H1Quantitative Methods in Linguistics
  • LIN405H1Advanced Quantitative Methods in Linguistics
  • LIN456H1Language Variation and Change: Theory and Analysis
  • MGY441H1Bioinformatics
  • POL314H1Public Opinion and Voting
  • POL352H1Introduction to Qualitative Research Methods
  • POL332H1Using Data to Understand Politics and Society
  • POL414H1Experiments in Political Science: Foundation
  • POL483H1Data Visualization for Political Science
  • PCL367H1Drug Development Pipeline I
  • PCL368H1Drug Development Pipeline II
  • PSL432H1Theoretical Physiology
  • PSY305H1The Treatment of Psychological Data
  • PSY319H1Developmental Laboratory
  • PSY329H1Social Psychology Laboratory
  • PSY339H1Individual Differences Laboratory
  • PSY349H1Laboratory in Social Psychological Field Methods
  • PSY359H1Human Neuroimaging Laboratory
  • PSY369H1Psychobiology Laboratory
  • PSY379H1Human Memory and Learning Laboratory
  • SOC303H1Family Demography
Check your progress in Atlas Applied Data Science Minor 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.

See where you stand in Applied Data Science.

Add your courses and Atlas marks each requirement done, in progress or still to do.

Start planning Sign up