ACCY 306Data Analytics for Financial Statements
A critical examination of accounting and finance concepts as applied to financial statements of firms, focusing on the interests of equity investors. The course will also consider the value of financial statement analysis to capital markets and communities.
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Course details
- Dates
- 7 Jul 2025 to 9 Nov 2025
- Starts
- Trimester 2
- Fees
- NZ$962.40 for
- International fees
- NZ$4,427.55
- Lecture start times
- Thursday 9.30am
- Campus
- Pipitea
- Estimated workload
- Approximately 150 hours or 8.8 hours per week for 17 weeks
- Points
- 15
Entry restrictions
Taught by
School of Accounting and Commercial Law—Wellington School of Business and Government
About this course
This course provides an appreciation of how data analytics is applied in accounting, financial statements analysis and equity valuation. Lectures cover applications from financial accounting, management accounting and auditing, in both the private and public sectors. The course also introduces some of the more advanced techniques used in data analytics in practice.
Course learning objectives
Students who pass this course should be able to:
Explain key concepts, principles and relationships in financial statement analysis;
Explain the principles of valuation;
Apply the concepts of risk analysis; and
Adapt and apply those principles and concepts in valuing a real firm.
How this course is taught
This course is optimised for face-to-face delivery on campus but Zoom attendance is an option for students. Lectures can be accessed via synchronous (live-stream) through Zoom or Vstream. All lectures will be recorded and available throughout the course.
There are no assessments requiring in-person attendance.
Assessment
- Final Test (during trimester two examination period) Type: IndividualMark: 50%
- Weekly Quizzes in Week 2 - 11. Ten multiple choice questions every week (during lecture time) Mark: 20%
- Assignment (2,500 words) Mark: 30%
Assessment dates and extensions
Once you've signed up to this course, you can use to see due dates for assessments and information about extensions.
Mandatory requirements
There are no mandatory course requirements for this course.
Lecture times and rooms
What you’ll need to get
Required texts
When you take this course, you must get these texts.
Title: Data Analytics for Accounting
Authors: Richardson, Teeter and Terrell
Publisher: McGraw-Hill
ISBN: 978-1-260-28840-7
Who to contact


Selected offering
ACCY 306
7 Jul–9 Nov 2025
Trimester 2 · CRN 220