FINA 4350 — Applied Financial Econometrics and Data Modeling

4 semester hoursUndergraduateLectureusually offered: fall, springtypical days: ThBostonTraditional

Examines how to understand and analyze data using a set of analytical tools in financial econometrics. Emphasizes time-series financial data and financial modeling. The course uses programming languages, such as Python, that are standard in fintech applications.

Prerequisites

one of:
- all of:
  - one of:
    - CS 2000 (min D-)
    - CIS 200M
    - CS 2100 (min D-)
    - CIS 201M
    - CS 2500 (min D-)
    - DS 2500 (min D-)
    - EECE 2560 (min D-)
    - DS 2000 (min D-)
  - one of:
    - FINA 3301 (min D-)
    - FINA 3303 (min D-)
- one of:
  - FINA 4335 (min D-)
  - FINA 4380 (min D-)

Offering history

Term	Sections	Enrolled	Capacity	Full	Open seats/section
Summer B 2023	1	23	40	57%	17.0
Fall 2023	1	13	40	33%	27.0
Spring 2024	1	22	40	55%	18.0
Spring 2025	2	77	80	96%	1.5
Fall 2025	1	31	40	78%	9.0
Spring 2026	1	39	40	98%	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 18% · T 11% · W 6% · Th 59% · F 11%

Common patterns: R (53% of sections), S (19% of sections), M (11% of sections), TF (11% of sections), MWR (6% of sections) — in patterns, R means Thursday

Professors

Fall

Sunayan Acharya (70% of students) · reviews
Weiling Liu (30% of students) · reviews

Spring

Sunayan Acharya (100% of students) · reviews

Summer B

Sunayan Acharya (100% of students) · reviews

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

Unlocks

FINA 4605

Courses that list FINA 4350 in their prerequisites.

Links

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