STA261H1 - Probability and Statistics II
Course: STA261H1 (Probability and Statistics II) in STA department at University of Toronto.
Credit Hours: 36 • Academic Level: second-year undergraduate course
Course Requirements: Requires 1 prerequisite course
Prerequisite Chain Depth: 4 levels of foundational courses required
Future Opportunities: Unlocks 82 advanced courses for further study
Part of the STA curriculum at University of Toronto, helping students progress through degree requirements.
Courses unlocked by STA261H1
- ECO381H1 - Personnel Economics
- RSM352H1 - Marketing Research
- RSM470H1 - Management Science Modeling with Spreadsheets
- RSM384H1 - Sports Analytics
- STA313H1 - Data Visualization
- ECO332H1 - Economics of the Family
- RSM437H1 - International Finance
- RSM484H1 - Real Estate Finance and Investment
- RSM341H1 - Model-Based Decision Making
- STA378H5 - Statistics Research Project
- STA272H1 - Statistical Models for Data Science
- ECO403H1 - Topics in Development Economics and Policy
- ECO404H1 - Topics in Managerial Economics
- ECO417H1 - Economic Development Policy: Community Engaged Learning
- ARH312Y1 - Archaeological Laboratory
- ECO424H1 - Topics in Experimental Economics
- ECO430Y1 - Reading Course or Thesis
- ECO446H1 - Advanced Public Economics
- ECO481H1 - Special Topics in Economics with Data Analytics
- ECO482H1 - Machine Learning Applications in Macroeconomic Finance
- ECO310H1 - Empirical Industrial Organization
- ECO324H1 - Economic Development
- ECO334H1 - The Political Economy of Media
- ECO340H1 - Labour Economics: The Distribution of Earnings
- ECO351H1 - Special Topics in Economics
- ECO353H1 - Special Topics in Economics with Data Analytics
- ECO367H1 - The Economics of Inequality
- ECO364H1 - International Trade Theory
- ECO380H1 - Markets, Competition, and Strategy
- ENG286H1 - Literature and Data
- ECO372H1 - Data Analysis and Applied Econometrics in Practice
- ECO374H1 - Forecasting and Time Series Econometrics
- RSM338H1 - Applications of Machine Learning in Finance
- RSM358H1 - Foundations of AI for Management
- RSM456H1 - Big Data and Marketing Analytics
- ECO406H1 - Developmental Macroeconomics
- ECO407H1 - Competing Views in Macroeconomic Theory and Policy
- ECO419H1 - International Macroeconomics
- ECO421H1 - Special Topics in Economics
- ECO422H1 - Special Topics in Economics
- ECO435H1 - The Economics of Modern China
- ECO438H1 - Topics in Behavioural Economics
- ECO313H1 - Environmental Economics and Policies
- ECO336H1 - Public Economics
- ECO337H1 - Public Economics (for Commerce)
- ECO338H1 - Economics of Careers
- ECO369H1 - Health Economics
- ECO401H1 - Topics in Economic Policy
- ECO402H1 - Topics in Health Economics
- ECO409H1 - Topics in Money, Banking, and Finance
- ECO414H1 - Energy and Regulation
- ACT370H1 - Financial Principles for Actuarial Science II
- ECO420Y1 - Special Topics in Economics
- ECO425H1 - Business Cycles
- ECO431H1 - Reading Course or Thesis
- EEB458H1 - Evolutionary Quantitative Genetics
- ECO480H1 - Special Topics in Economics with Data Analytics
- EEB462H1 - Phylogenetic Inference: Methods and Applications
- ECO306H1 - American Economic History
- ECO314H1 - Energy and the Environment
- ECO325H1 - Advanced Economic Theory - Macro
- ECO326H1 - Advanced Microeconomics - Game Theory
- ECO331H1 - Behavioural and Experimental Economics
- ECO339H1 - Labour Economics: Employment, Wages and Public Policy
- ECO349H1 - Money, Banking and Financial Markets
- ECO350Y1 - Special Topics in Economics
- ECO352H1 - Special Topics in Economics
- ECO354H1 - Special Topics in Economics with Data Analytics
- ECO358H1 - Financial Economics I
- ECO362H1 - Economic Growth
- ECO368H1 - Economics of Conflict
- ECO375H1 - Applied Econometrics I
- ECO483H1 - Health and Economic Inequality
- JSC370H1 - Data Science II
- PPG301H1 - Introduction to Public Policy
- RSM481H1 - Outsourcing and the Organization of Firms
- RSM326H1 - Data Analytics with Financial Accounting Information
- RSM483H1 - Real Estate Markets
- STA304H1 - Surveys, Sampling and Observational Data
- STA355H1 - Theory of Statistical Practice
- STA302H1 - Methods of Data Analysis I
- STA398H5 - Statistics Research Project
Academic Planning at University of Toronto
Students planning STA261H1 at University of Toronto should complete 1 prerequisite before enrollment.
Course Sequence: This course requires a 4-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing STA261H1 enables enrollment in 82 advanced courses for further study
This second-year course at University of Toronto integrates into structured degree pathways for STA programs, supporting timely graduation and academic progression.