Marketing research

Structure Type: Course
Code: KD07BMMA135
Type: Elective
Level: Bachelor
Credits: 6.0 points
Responsible Teacher: Rantalainen, Sirkku
Teacher Team: Rantalainen, Sirkku ; Tuuri, Hannu
Language of Instruction: Finnish

Learning Outcomes

Students are able to carry out market analyses and effectively use them in a company's marketing decision-making.

Student's Workload

- lectures and group work 50 h
- independent work 110 h

Prerequisites / Recommended Optional Courses

- Basics on business competence
- In addition to this course, students are expected to complete Processing Statistical Data (3 cr).

Contents

- Decision-making perspective on marketing research
- Ethical issues
- Marketing research planning process: research purpose and objective, research approach, research tactics, data collection, analysis, and reporting
- Implementation of small-scale marketing research for a company

Recommended or Required Reading

- Aaker D., Kumar V. & Day G. 2006. Marketing Research (assigned parts)
- Mäntyneva M., Heinonen J., & Wrange K. 2008. Markkinointitutkimus
- material provided by the teacher

Mode of Delivery / Planned Learning Activities and Teaching Methods

- lectures and group work

Assessment Criteria

Excellent (5): The student has carried out work to an excellent standard and participated actively and constructively. Students are able to carry out market analyses and effectively use them in a company's marketing decision-making.

Good (4-3): The student has carried out work well and participated actively. Students are able to carry out market analyses and effectively use them in a company's marketing decision-making.

Satisfactory (2-1): The student has carried out work and participated as instructed. Students are able to carry out market analyses.

Assessment Methods

- written exam 30 %
- group assignments and company project 70 %
Both parts must be successfully completed to receive a grade for the course. Attendance and active participation affect the overall grade.

Further Information

The course accrues 6 R&D credits.

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