FINA 4335 — Computational Methods and Their Applications in Finance

4 semester hoursUndergraduateLectureusually offered: fall, springtypical days: M/W/ThBostonTraditional

Introduces Python and its data-oriented library ecosystem (NumPy, Pandas, Matplotlib, Statsmodels, SciPy, etc.). Python is one of the most widely used open-source, cross-platform programming languages. Focuses on developing a strong foundation for working with financial data in Python and implementing various financial models.

Prerequisites

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 202314040100%0.0
Spring 2024311912099%0.3
Summer A 20241234057%17.0
Fall 20242818299%0.5
Spring 202528280102%0.0
Summer A 20251284070%12.0
Fall 202538812272%11.3
Spring 2026311712098%1.0

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 66% · T 20% · W 78% · Th 66% · F 24%

Common patterns: MWR (61% of sections), WF (12% of sections), T (11% of sections), F (7% of sections), MTWR (5% of sections), TF (5% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Summer A

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

FINA 4104, FINA 4340, FINA 4350, FINA 4390, FINA 4460

Courses that list FINA 4335 in their prerequisites.

Links

Official catalog (FINA course descriptions) · Student reviews on RateMyHusky · All FINA courses · Plan it at numap.app