FINA 6342 — Financial Data and Fintech
3 semester hoursGraduateLectureusually offered: springtypical days: ThBostonHybridTraditional
Covers methods of managing data and extracting insights from real-world financial sources. Topics include extracting and organizing data from financial, geospatial and supply chain sources; financial aggregation; and reporting. Applications include current and emergent data sources employed in finance, risk-weighted assets, market and credit risk modeling, stress testing, and climate risk. Studies major sources of financial data, data visualization, and architecture. Offers hands-on instruction in tools used in the financial industry to process datasets.This course is only available to students who matriculated in a Northeastern program prior to Fall 2026 that requires completion of this course.
Prerequisites
- FINA 6203 (min C-)
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 14 | 35 | 40% | 21.0 |
| Spring 2024 | 1 | 23 | 30 | 77% | 7.0 |
| Summer B 2024 | 1 | 28 | 35 | 80% | 7.0 |
| Spring 2025 | 1 | 14 | 30 | 47% | 16.0 |
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 35% · W 29% · Th 71% · F 0%
Common patterns: R (35% of sections), TR (35% of sections), W (29% of sections) — in patterns, R means Thursday
Professors
Fall
- Stephen Maloney (100% of students) · reviews
Spring
- Stephen Maloney (100% of students) · reviews
Summer B
- Stephen Maloney (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (FINA course descriptions) · Student reviews on RateMyHusky · All FINA courses · Plan it at numap.app