• Offered by Research School of Management
  • ANU College ANU College of Business and Economics
  • Course subject Marketing
  • Areas of interest Marketing
  • Academic career UGRD
  • Course convener
    • Dr Toni Eagar
  • Mode of delivery In Person
  • Offered in Second Semester 2017
    See Future Offerings

The Marketing Research course introduces students to the realm of marketing intelligence and the significance of data to marketers and to companies as an important foundation for planning marketing activities towards the creation of value for the firm. The course provides a comprehensive approach to contemporary marketing research principles and practices towards gathering, acquiring, appraising and applying evidence for decision making. The course covers recent online marketing research trends and developments in the area of relationship and experiential marketing, and their impacts on the quality of evidence and on marketing research applications. Its principal aim is to provide students with research and managerial knowledge, tools and skills for identifying, tackling, judging and using evidence to solve marketing problems in business. 

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

By the end of this course, students will be able to:

1. Explain the critical steps in defining a marketing decision problem

2. Appreciate the role of marketing theories in problem identification

3. Identify appropriate marketing decision models to address common marketing problems

4. Design and undertake a basic marketing research project

5. Acquire and analyse data to make marketing decisions

6. Produce an evidence-based marketing report

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

Students taking this course are expected to commit at least 10 hours per week to completing the work. This will include 3 hours per week in class and at least 7 hours a week on average (including non-teaching weeks) on course reading, research, writing and assignment work.

Requisite and Incompatibility

To enrol in this course you must have completed a STAT course

Prescribed Texts

Marketing Research, 2014 (4e) by Hair, Lukas, Miller, Bush & Ortinau; McGraw-Hill Education

 

We also encourage students to register with the book’s companion online learning centre (OLC) at www.mhhe.com/au/hair4e for an engaging learning experience.

 

The book is available at the Co-op bookshop.

The eBook can also be purchased at the following:

http://www.mheducation.com.au/9781743073735-aus-vitalsource-ebook-online-access-for-marketing-research/

Majors

Minors

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
3
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2017 $3660
International fee paying students
Year Fee
2017 $4878
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
8100 24 Jul 2017 31 Jul 2017 31 Aug 2017 27 Oct 2017 In Person N/A

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