MISM 6400 — Introduction to Business Analytics
2 semester hoursGraduateLectureusually offered: falltypical days: T/FOakland, CATraditional
Offers a comprehensive overview of how business analytics enable companies to become more competitive. Emphasizes value chain analysis and the strengths, weaknesses, opportunities, and threats, or SWOT, matrix to determine how businesses compete; introduces modern supervised and unsupervised machine learning models; and uses case studies to examine how different areas of the organization contribute to a business analytics capability. Discusses real-world examples of how businesses have enhanced prediction, customer service, and handled ethical considerations.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2025 | 1 | 6 | 15 | 40% | 9.0 |
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 100% · W 0% · Th 0% · F 100%
Common patterns: TF (100% of sections) — in patterns, R means Thursday
Professors
Fall
- Carol Theokary (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (MISM course descriptions) · Student reviews on RateMyHusky · All MISM courses · Plan it at numap.app