MKTG202-26S1 (C) Semester One 2026

Marketing Research

15 points

Details:
Start Date: Monday, 16 February 2026
End Date: Sunday, 21 June 2026
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 1 March 2026
  • Without academic penalty (including no fee refund): Sunday, 10 May 2026

Description

An introduction to marketing research and its applications, with an emphasis on research as an aid to management decision-making. Students in this course will be provided with a background in research methods, issues related to conducting marketing research, data analysis, and methods of evaluation related to marketing.

Learning Outcomes

The objectives of the course are:
1. Develop the participant’s problem analysis skills, and their ability to translate a management problem into a feasible research question;
2. Provide participants with a working knowledge of the concepts and methods of marketing research especially in the new information age;
3. Increase sensitivity to the biases and limitations of marketing data;
4. Develop participant’s ability in, and understanding of questionnaire design and sampling theory;
5. Develop participants with an understanding of attitude measurement and its application to marketing research, and
6. Provide participants with an understanding of qualitative and quantitative research methods and their application to marketing research

Prerequisites

MKTG100 and STAT101, and a further 15 points in MGMT

Timetable 2026

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Tuesday 12:00 - 14:00 A1 Lecture Theatre
16 Feb - 29 Mar
20 Apr - 31 May
Tutorial A
Activity Day Time Location Weeks
01 Thursday 14:00 - 15:00 Psychology - Sociology 115 (26/2, 12/3, 26/3)
Jack Erskine 248 Computer Lab (30/4-14/5)
23 Feb - 1 Mar
9 Mar - 15 Mar
23 Mar - 29 Mar
27 Apr - 17 May
02 Thursday 15:00 - 16:00 Beatrice Tinsley 111 (26/2, 12/3, 26/3)
Jack Erskine 248 Computer Lab (30/4-14/5)
23 Feb - 1 Mar
9 Mar - 15 Mar
23 Mar - 29 Mar
27 Apr - 17 May
03 Thursday 16:00 - 17:00 Rehua 528 (26/2, 12/3, 26/3)
Jack Erskine 248 Computer Lab (30/4-14/5)
23 Feb - 1 Mar
9 Mar - 15 Mar
23 Mar - 29 Mar
27 Apr - 17 May
04 Friday 09:00 - 10:00 Rehua 009 (27/2, 13/3, 27/3)
Jack Erskine 248 Computer Lab (1/5-15/5)
23 Feb - 1 Mar
9 Mar - 15 Mar
23 Mar - 29 Mar
27 Apr - 17 May
05 Friday 10:00 - 11:00 Ernest Rutherford 141 (27/2, 13/3, 27/3)
Jack Erskine 248 Computer Lab (1/5-15/5)
23 Feb - 1 Mar
9 Mar - 15 Mar
23 Mar - 29 Mar
27 Apr - 17 May
06-P1 Friday 13:00 - 14:00 Rehua 528
23 Feb - 1 Mar
9 Mar - 15 Mar
23 Mar - 29 Mar
06-P2 Friday 12:00 - 13:00 Jack Erskine 248 Computer Lab
27 Apr - 17 May

Timetable Note

Lectures for this course are recorded using the ECHO360 lecture recording system.

Course Coordinator / Lecturer

Kseniia Zahrai

Lecturer

Girish Prayag

Assessment

Assessment Due Date Percentage 
Tutorial Participation 15%
Video Interview (Individual) 15%
Survey Questionnaire (Individual) 10%
Quantitative Analysis (Group Work) 30%
Final Examination 30%


The ‘45% rule’ applies to this course. That is, student needs to reach 45% weighted average across invigilated assessments. Please refer to https://learn.canterbury.ac.nz/course/view.php?id=7744 for further information. In other words, to pass this course you must not only achieve a final grade of 50% or higher overall, but also achieve a weighted average grade of at least 45% in the final exam.

Use of AI: The use of Artificial Intelligence bot tools such as ChatGPT is not permitted in this course. Use of AI bot tools to assist with the generation of any part of your assessments in this course constitutes a breach of instructions and may result in an Academic Misconduct referral. If at all unsure regards AI bot use, please ask your course teaching staff.

Assessment In Te Reo Māori
In recognising that Te Reo Māori is an official language of New Zealand, the University provides for students who may wish to use Te Reo Māori in their assessment. If you intend to submit your work in Te Reo Māori you are required to do the following:

Read the Assessment in Te Reo Māori Policy and ensure that you meet the conditions set out in the policy. This includes, but is not limited to, informing the Course Coordinator 1) no later than 10 working days after the commencement of the course that you wish to use Te Reo Māori and 2) at least 15 working days before each assessment due date that you wish to use Te Reo Māori.

Textbooks / Resources

Required Texts

Malhotra, Naresh K; Marketing research : an applied orientation ; Seventh edition; Pearson, 2020.

Recommended Reading

Babin, Barry J. , Zikmund, William G; Exploring marketing research ; Eleventh edition; Cengage Learning, 2016.

Pallant, Julie; SPSS survival manual : a step by step guide to data analysis using IBM SPSS ; 7th edition; Allen & Unwin, 2020.

Course links

LEARN

Indicative Fees

Domestic fee $1,003.00

International fee $4,538.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Management, Marketing and Tourism .

All MKTG202 Occurrences

  • MKTG202-26S1 (C) Semester One 2026