BUSN 6365 — Business Analytics
3 semester hoursGraduateLectureusually offered: springtypical days: T/ThBostonTraditional
Provides an overview of data collection, organization, analysis, interpretation, and presentation techniques used by contemporary organizations. Students use multiple software tools to collect, prepare, manage, analyze, evaluate, understand, critique, visualize, and present data sets of various types. Offers students an opportunity to obtain essential skills, tools, and techniques required to understand data sets, both large and small, from sources internal and external to an organization. This understanding can then be used to support datacentric decision making and create a measurable improvement in business performance. Businesses run on data, and employees at all levels must know how to properly use and interpret data to support their roles within a company.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Summer B 2023 | 1 | 41 | 41 | 100% | 0.0 |
| Spring 2024 | 1 | 26 | 40 | 65% | 14.0 |
| Summer B 2024 | 1 | 52 | 54 | 96% | 2.0 |
| Spring 2025 | 1 | 19 | 40 | 48% | 21.0 |
| Summer B 2025 | 1 | 45 | 54 | 83% | 9.0 |
| Spring 2026 | 1 | 33 | 40 | 83% | 7.0 |
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 0% · T 79% · W 21% · Th 64% · F 0%
Common patterns: TR (64% of sections), W (21% of sections), T (15% of sections) — in patterns, R means Thursday
Professors
Spring
- Keivan Sadeghzadeh (58% of students) · reviews
- Nizar Zaarour (42% of students) · reviews
Summer B
- Keivan Sadeghzadeh (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (BUSN course descriptions) · Student reviews on RateMyHusky · All BUSN courses · Plan it at numap.app
More
{
"retired": true,
"retiredSince": "2026-09-03"
}