MKT297
MARKETING HONORS RESEARCH
- Department
- Marketing
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
The Marketing Honors Research course is a comprehensive course designed for academically motivated students seeking an enriched understanding of marketing principles through independent research. This advanced course provides an immersive experience for high-achieving students, with a minimum GPA of 3.7, to delve into cutting-edge topics within the field of marketing. Throughout the semester, students will engage in a structured research process under the guidance of a SOM faculty member, from formulating research questions to conducting literature reviews, collecting and analyzing data, and ultimately presenting their findings. The course is designed to hone students' critical thinking, methodological rigor, communication, and analytical skills required in today's marketing research.
Syllabi
Sign in with your @clarku.edu email to view syllabi.
Offering history & forecast 2025
2025
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: not enough history to forecast. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: not enough history to forecast. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: not enough history to forecast. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: not enough history to forecast. |
| 2025 | Not offered | 1 section | Not offered | Not offered |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent firstNo meeting times recorded for this course.
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2025 | Ayan Ghosh Dastidar | Tutorial/Priv Inst/Self-Paced | 1 | 1 of 1 enrolled | 34036 |