FINA 4390 — Machine Learning in Finance

4 semester hoursUndergraduateLectureusually offered: fall, springBostonTraditional

Offers students an opportunity to prepare for rapid changes in the financial services world due to technological innovations and to understand how ML and AI tools are relevant in the financial services industry; to learn the basics of these tools, including machine learning; and to analyze the ethical considerations in the use of these tools in financial services. Seeks to train students to develop data analytics solutions using machine learning and deep learning models, allowing them to answer analytical questions that are encountered in the finance space. Working knowledge of Microsoft Excel or other spreadsheet programs is strongly recommended.

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
Fall 2023	1	11	40	28%	29.0
Spring 2024	1	16	36	44%	20.0
Fall 2024	1	9	40	23%	31.0
Spring 2025	1	23	40	57%	17.0
Fall 2025	1	20	40	50%	20.0
Spring 2026	1	31	40	78%	9.0

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 18% · W 36% · Th 21% · F 33%

Common patterns: W (28% of sections), F (25% of sections), R (21% of sections), T (18% of sections), WF (8% of sections) — in patterns, R means Thursday

Professors

Fall

Karthik Krishnan (100% of students) · reviews

Spring

Karthik Krishnan (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 4390 in their prerequisites.

Links

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