BUSADMIN 763 : Quantitative Analysis

Business and Economics

2020 Quarter Four (1208) (15 POINTS)

Course Prescription

Quantitative analysis theory, techniques, and tools to support and facilitate managerial decision-making. Includes financial, statistical, and operational modelling.

Course Overview

This course will provide a firm methodological foundation to courses within the Graduate School of Management that use quantitative methods. After completion students will:
  • Have a broad understanding of how to apply quantitative approaches to successfully compete in today's global business environment.
  • Be able to recognise and formulate decision models and methods for quantitative analysis of data in a variety of management scenarios.

Course Requirements

Restriction: BUSADMIN 773

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement

Learning Outcomes

By the end of this course, students will be able to:
  1. Extract the important patterns from sets of data, transform them into information and display and describe the results effectively. (Capability 1 and 4.2)
  2. Demonstrate skills necessary to understand and quantitatively analyse small to medium data sets of moderate complexity. (Capability 2 and 3)
  3. Develop models and communicate statistical solution approaches for decision making in organisations. (Capability 3 and 4.2)
  4. Demonstrate analytical thinking skills and an understanding of the concepts, tools and practices of modelling and analysing managerial decisions. (Capability 2 and 3)
  5. Formulate a problem that can be tested statistically and conceptualise a solution strategy rooted in multivariate statistical analysis. (Capability 1, 2, 3 and 4.3)


Assessment Type Percentage Classification
Quizzes 10% Individual Coursework
Assignments 20% Individual Coursework
In-class Tests 50% Individual Test
Project 20% Group Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4 5
In-class Tests

Passing this course requires a weighted average grade of C- or above based on all assessments.

Workload Expectations

Students are expected to attend the lectures for 3 hours a week. Each lecture will be devoted primarily to the discussion of the assigned content topic for the day and will provide opportunities for students to discuss and practice the application of the quantitative techniques the session focusses on.

All lectures will be interactive in nature with elements of group work and a high degree of personal involvement and contributions – “class participation” – will be expected of all enrolled. The student must come to the lectures having read the assigned material provided on Canvas and be prepared to participate.  

The use of laptops is encouraged during the lectures and will be required for the in-class tests. The preferred software on the laptop is Microsoft Excel 2016. During the lecture sessions, students may share laptop computers with other students if needed.    

The average workload for the course is expected to be 2 – 3 hours for every hour of class contact time.  

Tutorials to provide guided problem-based learning will be scheduled for this course. The meeting times will be announced on Canvas. Attendance at the tutorial is optional.

Learning Resources

Canvas will be the primary method, by which you will receive course information, handouts, additional reading and material, and assignments.
The optional text is Curwin, J. & Slater, R. (2013). Quantitative Methods for Business Decisions (7th ed.). London: Thomson. The material available in this textbook will be a helpful source of reference. 

Digital Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website at http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page: https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter (https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html).


Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.

Published on 19/12/2019 08:36 a.m.