FIN 3340 — Investments
3 semester hoursUndergraduateLectureusually offered: fall, springBostonOnlineOnlineTraditional
Explores the functioning of securities and digital asset markets, the mechanics and costs of trading, and the strategies investors use to optimize returns in a technology-driven environment. Applies risk–return analysis, quantitative modeling, and data analytics to evaluate stocks, bonds, options, exchange-traded funds, and emerging digital investment vehicles. Emphasizes predictive analytics, machine learning, and AI-based tools for forecasting market performance, testing market efficiency, and supporting portfolio strategies. Includes applied projects that track and interpret the performance of traditional securities and digital investments, integrating financial theory with practical experience and data-driven, technology-enabled approaches to investment evaluation.
Prerequisites
- FIN 3310 (min D-)
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2025 | 2 | 20 | 60 | 33% | 20.0 |
| Spring 2026 | 2 | 19 | 60 | 32% | 20.5 |
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 0% · W 0% · Th 49% · F 0%
Common patterns: async (51% of sections), R (49% of sections) — in patterns, R means Thursday
Professors
Fall
- LaKeisha Lowe (55% of students) · reviews
- Michael McKinney (45% of students)
Spring
- Michael McKinney (53% of students)
- LaKeisha Lowe (47% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list FIN 3340 in their prerequisites.
Links
Official catalog (FIN course descriptions) · All FIN courses · Plan it at numap.app