Course Title: Questionnaire and Research Design

Part A: Course Overview

Course Title: Questionnaire and Research Design

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


145H Mathematical & Geospatial Sciences


Sem 1 2012,
Sem 1 2014


City Campus


171H School of Science


Sem 2 2017,
Sem 2 2019

Course Coordinator: Dr. Mali Abdollahian

Course Coordinator Phone: +61 3 9925 2248

Course Coordinator Email:

Pre-requisite Courses and Assumed Knowledge and Capabilities

You should have a good knowledge of basic statistics at least at the level of MATH1324 Introduction to Statistics.

Course Description

The course provides you with an opportunity to learn fundamental principles in regard to questionnaire development; research design (including sampling methods); and analysis of questionnaire-based data, involving various statistical computing software packages.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for MC004 Master of Statistics and Operations Research and MC242 Master of Analytics:

Knowledge and technical competence

  • An understanding of appropriate and relevant, fundamental and applied mathematical and statistical knowledge, methodologies and modern computational tools.


  • The ability to bring together and flexibly apply knowledge to characterise, analyse and solve a wide range of problems
  • An understanding of the balance between the complexity / accuracy of the mathematical / statistical models used and the timeliness of the delivery of the solution.


  • The ability to effectively communicate both technical and non-technical material in a range of forms (written, electronic, graphic, oral), and to tailor the style and means of communication to different audiences.  Of particular interest is the ability to explain technical material, without unnecessary jargon, to lay persons such as the general public or line managers.

On completion of this course you should be able to:

  1. Design the appropriate questionnaires to investigate a given research question,   
  2. Identify and devise an appropriate sampling scheme for data collection,
  3. Analyse data pertaining to questionnaire-based research .

Overview of Learning Activities

  • Lectures where underlying theory will be presented.
  • Regular computer laboratory class that will reinforce the material covered in   lectures and independent study.
  • Assignments to practice the usage of software packages.

Overview of Learning Resources

A list of recommended texts will be provided.

You will have access to extensive course materials made available via the online RMIT Learning Hub (myRMIT), including digitised readings, lecture notes and a detailed study program, external internet links and access to RMIT Library online and hardcopy resources.

Library Subject Guide for Mathematics & Statistics

Overview of Assessment

☒This course has no hurdle requirements.

Assessment Tasks:

Early Assessment Task: Practical Assignment(s)
Weighting 20%
This assessment task supports CLOs 1,

Assessment Task 2: Practical Assignment(s)
Weighting 30%
This assessment task supports CLOs 1, 2

Assessment Task 3: Practical Assignment(s)
Weighting 50%
This assessment task supports CLO 1, 2, 3