Faculty of Arts & Science · St. George

RSM326H1

Data Analytics with Financial Accounting Information

Prerequisite2 requirements, 6 options

Total contact hours24 lecture · 12 tutorial

Evidence3 terms

Add RSM326H1 to Pyko

What was the average?

B+

3.3 GPA across 3 observed terms. Most recent: Fall 2026.

How is it graded?

Not yet verified

No syllabus we can lawfully use has been verified for this course.

How confident is this?

Med

A small number of terms, so read it as a range.

From the calendar

Official source · Faculty of Arts & Science

Students will learn how to better understand and analyze accounting information through empirical analysis. The course will teach students how to extract information from rich accounting and finance datasets to help provide insights in a wide range of corporate business problems in both equity and debt markets. Different modeling approaches are used to analyze accounting data and disclosure information. Not eligible for CR/NCR option.

Exclusions: RSM311H1
Contact hours: 24 lecture · 12 tutorial; Total scheduled hours for the course, not per week.

One option from each line

RSM219H1

ECO220Y1, ECO227Y1, STA220H1 and STA255H1, STA237H1 and STA238H1, or STA257H1 and STA261H1

What people actually got

Last observed Fall 2026

B+

3.3 GPA

3 terms observed

n = 3student contributedSt. George offerings only

This is a student-contributed aggregate, not an official University of Toronto record. It is also not a measure of how hard the course is — a course average moves with who enrols in it, not only with the material.

Per-term figures stay hidden until each term clears five contributors. 3 observations can support one honest number; they cannot support 3.

What we don’t have yet

Assessment weightingNo syllabus we can lawfully use has been verified for this offering. Contribute yours and the breakdown appears here.

Per-term breakdownHeld back deliberately. Splitting 3 observations across terms would be false precision.

Instructor-level detailAverages are not split by instructor. At these sample sizes the difference between sections is noise, not signal.

Archive coveragePyko holds no past paper for this course. We do not host or distribute course files in any case; the archive is what lets these pages describe how a course is assessed.

Source ledger

Report an error →

Sources behind every claim on this page
Claim	Source	Captured	Status
Course description, prerequisites, exclusions, contact hours	Faculty of Arts & Science	2026-07-25	public fact
Historical average across 3 terms	Student contributions, consented	2026-07-25	user contributed aggregate

Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.

Around this course

RSM219H1Required before this course

You’ve read the average. Now use it.

Add RSM326H1 and Pyko tracks what you've earned against your own grading scheme.

Add RSM326H1 to Pyko See how Pyko works

Pyko is an independent student platform. It is not affiliated with, endorsed by, or operated by the University of Toronto. Course names and codes are used descriptively to identify courses.