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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Trimester One of three teaching periods that make up the academic year—usually March to June, July to October, and November to February.
CRN A unique number given to a single version of a course. It differentiates between courses with the same course code that are taught in different trimesters or streams, or in different modes (for example, in person or online).

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

Prerequisites
Corequisites
None
Restrictions
None

Taught by

School of Accounting and Commercial LawWellington School of Business and Government

Key dates

Find important dates—including mid-trimester teaching breaks—on the University's key dates calendar.

You'll be told about assessment dates once the course has begun.

Key dates

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:

  1. Explain key concepts, principles and relationships in financial statement analysis;

  2. Explain the principles of valuation;

  3. Apply the concepts of risk analysis; and

  4. 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

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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

Lee Vassiliadis portrait

Lee Vassiliadis

Course Administrator

Past versions of this course

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Student feedback

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Selected offering

ACCY 306

7 Jul–9 Nov 2025

Trimester 2 · CRN 220

2025 course optionsOptions (1)