FINA 6333 — Data Analytics in Finance
3 semester hoursGraduateLectureusually offered: springtypical days: T/FBostonTraditional
Introduces Python and its use as a financial data analytics tool. Python has become one of the most widely used open-source, cross-platform programming languages. Covers the basics of programming in Python and key libraries (NumPy, Pandas, Matplotlib, etc.) used in data analytics, then focuses on implementing various financial models in Python. Topics include single and multifactor portfolio models, portfolio theory and the efficient frontier, algorithmic trading, options and futures, and value at risk.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2024 | 4 | 171 | 191 | 90% | 5.0 |
| Spring 2025 | 3 | 96 | 120 | 80% | 8.0 |
| Spring 2026 | 2 | 67 | 80 | 84% | 6.5 |
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 89%
Common patterns: TF (89% of sections), T (11% of sections) — in patterns, R means Thursday
Professors
Spring
- Richard Herron (80% of students) · reviews
- Lingfei Kong (20% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list FINA 6333 in their prerequisites.
Links
Official catalog (FINA course descriptions) · Student reviews on RateMyHusky · All FINA courses · Plan it at numap.app
More
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"retired": true,
"retiredSince": "2026-09-03"
}