Course Title: Quantitative Research Methods

Part A: Course Overview

Course Title: Quantitative Research Methods

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


610P BUS Portfolio Office


Sem 1 2018,
Sem 1 2020

Course Coordinator: Professor Francis Farrelly

Course Coordinator Phone: +61 3 9925 1475

Course Coordinator Email:

Course Coordinator Location: Building 80, Level 10, 445 Swanston Street, Melbourne, 3000.

Course Coordinator Availability: Appointment via email

Pre-requisite Courses and Assumed Knowledge and Capabilities


This course is a core course for students doing the Bachelor of Business (Honours) Program.

Alternatively you may be able to demonstrate the required skills and knowledge before you start this course. Contact your course coordinator if you think you may be eligible for recognition of prior learning. For further information visit Recognition of prior learning (RPL) in Higher Education.

Course Description

This course adopts a very practical approach to the collection and subsequent analysis of quantitative data for research in business. It will focus on key approaches to the data collection process and how this relates to research objectives. A range of analysis techniques, including both approaches designed to understand inter-dependencies and dependencies in quantitative data will be covered. The course is concerned with both the issues involved in and the application of the techniques discussed in the thesis component of the degree. You will use appropriate software to implement the material covered in the course.

Objectives/Learning Outcomes/Capability Development


On the successful completion of this course you will be able to:

  1. Undertake empirical analysis using correct analytical techniques and appropriate software.
  2. Plan and design data collection methods and analysis.
  3. Discuss coherently, logically and in a scholarly manner the results of research activities.
  4. Reflect on chosen method, justifying judgments and decisions.
  5. Discuss and present findings of research activities from a broader perspective in a logical, coherent and succinct manner independently or collaboratively.
  6. Analyze data in an ethical manner, avoiding selective use of data, concealing of results and fabrication of outcomes.

Overview of Learning Activities

Learning in this course will occur through a variety of experiences that may include lectures, problem solving exercises, tutorial activities and workshops. You are required to actively participate in these activities. You are expected to supplement class notes with your own, and also refer to textbooks, references provided in classes, and other relevant material.

Overview of Learning Resources

You will be expected to utilize library and electronic resources (as well as any other appropriate resources). Resources and tools to facilitate your learning and extensive course materials are available on myRMIT Studies/Canvas. Online library resources are available through RMIT Library online. Hard copy resources will be made available as appropriate.

Overview of Assessment

The assessment alignment list below shows the assessment tasks against the learning outcomes they develop:


Assessment Task 1: 25%
Linked CLOs: 1, 2, 6
Assessment Task 2: 25%
Linked CLOs: 1, 2, 6
Assessment Task 3: 50%
Linked CLOs: 1, 2, 3, 4, 5, 6

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and by individual consultation.