MKTG 7001 — Interdisciplinary Research in Marketing Science
4 semester hoursGraduateLectureusually offered: falltypical days: TBostonHybridTraditional
Exposes students to cutting-edge research in quantitative marketing to help them define and advance their interdisciplinary research interests. Explains the process of generating feasible, interesting, and managerially relevant research ideas. Focuses on research opportunities arising from applications of new algorithms and technologies to generate consumer insights and automate product recommendations; improve privacy-preserving personalization; understand the increasingly complex advertising landscape and smart devices ecosystem; capture and analyze large unstructured data such as biomarkers, geolocation, networks, video, voice, and text in order to improve consumer experiences. Designed for graduate students with a background in computational social science, computer science, data analytics, digital humanities, economics, engineering, and network science who are interested in consumer-focused interdisciplinary empirical research projects. Expects students to produce a major paper suitable for publication.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 1 | 20 | 5% | 19.0 |
| Fall 2025 | 1 | 4 | 40 | 10% | 36.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 20% · T 80% · W 0% · Th 0% · F 0%
Common patterns: T (80% of sections), M (20% of sections) — in patterns, R means Thursday
Professors
Fall
- Yakov Bart (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (MKTG course descriptions) · All MKTG courses · Plan it at numap.app