MKT231
MARKETING RESEARCH
- Department
- Marketing
- Terms offered
- 9
- Data refreshed
- Jun 30, 2026
Description
The purpose of marketing research is to provide information for making better business decisions. In this course, students will be introduced to marketing research process and techniques. This course will (a) provide students with the necessary knowledge base and tools to conduct basic marketing research and (b) develop students into the mindset of managers and business leaders who can use marketing research to generate business insights. The class focuses on qualitative and quantitative aspects of marketing research as it relates to business problems such as market segmentation, demand assessment and new product design. The topics will include research design, data collection procedures, sampling and data analysis. The class will involve a combination of lectures, readings, cases and computer-based exercises. The lectures will focus on the introduction of marketing research process and techniques; the readings and cases will involve class discussions that help students understand the applications of marketing research; and the computer-based lab exercises will provide students with some "hands-on" experience with selected marketing research techniques.
Syllabi
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Offering history & forecast 2021–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 46% chance, medium confidence. Offered in every fall term since 2021. Department course count falling about 4% per year. Department faculty is about 37% below its recent average. | 2030 Spring: 45% chance, low confidence. Offered in 3 of 5 spring terms since 2022. Department course count rising about 3% per year. Department faculty is about 16% above its recent average. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 50% chance, medium confidence. Offered in every fall term since 2021. Department course count falling about 3% per year. Department faculty is about 37% below its recent average. | 2029 Spring: 47% chance, low confidence. Offered in 3 of 5 spring terms since 2022. Department course count rising about 5% per year. Department faculty is about 20% above its recent average. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: 59% chance, medium confidence. Offered in every fall term since 2021. Department faculty is about 35% below its recent average. | 2028 Spring: 48% chance, low confidence. Offered in 3 of 5 spring terms since 2022. Department course count rising about 7% per year. Department faculty is about 24% above its recent average. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: 69% chance, medium confidence. Offered in every fall term since 2021. Department course count rising about 4% per year. Department faculty is about 32% below its recent average. | 2027 Spring: 50% chance, low confidence. Offered in 3 of 5 spring terms since 2022. Department course count rising about 7% per year. Department faculty is about 25% above its recent average. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | 1 section | Not offered | Not offered | No data for this term |
| 2025 | 1 section | 1 section | Not offered | Not offered |
| 2024 | 1 section | Not offered | Not offered | Not offered |
| 2023 | 1 section | 1 section | Not offered | Not offered |
| 2022 | 1 section | 1 section | Not offered | Not offered |
| 2021 | 1 section | Not offered | 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 first- Tue, Fri, 1:25 PM–2:40 PM Carlson Hall CH128 2026
- Tue, Thu, 4:15 PM–5:30 PM JC118 20252024
- Tue, Thu, 6:00 PM–7:15 PM JC120 2025
- Mon, Wed, 4:15 PM–5:30 PM Carlson Hall CH120 2022
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Yue Gao (She/Her) | Lecture | 1 | 30 of 30 enrolled | 21895 |
| Fall 2025 | Golshad Parsimoghadam | Lecture | 1 | 28 of 30 enrolled | 21895 |
| Spring 2025 | Ayan Ghosh Dastidar | Lecture | 1 | 31 of 30 enrolled | 34004 |
| Fall 2024 | Ayan Ghosh Dastidar | Lecture | 1 | 31 of 30 enrolled | 21895 |
| Fall 2023 | Ayan Ghosh Dastidar | Lecture | 1 | 21 of 30 enrolled | 21895 |
| Spring 2023 | Ayan Ghosh Dastidar | Lecture | 1 | 26 of 30 enrolled | 31631 |
| Fall 2022 | Ayan Ghosh Dastidar | Lecture | 1 | 14 of 30 enrolled | 21895 |
| Spring 2022 | Minji Jung | Lecture | 1 | 30 of 30 enrolled | 31631 |
| Fall 2021 | Minji Jung | Lecture | 1 | 8 of 30 enrolled | 28571 |