FIN 550

Fall 2026 Part of Term 1

Part of Term 1
Aug 24-Dec 9
Big Data Analytics in Finance for Predictive and Causal Analysis

Credit: 4 hours.

Examines methods in big data analytics for financial and economic analysis. Students design and conduct independent empirical research using tools such as machine learning, regression, randomized trials, and quasi-experiments. Emphasis is on distinguishing correlation from causation, developing reproducible workflows, and critically evaluating analytic strategies. Prepares students for advanced professional and research roles requiring independent judgment and defense of methodological choices in data-rich environments.

FIN 550 class schedule data for fall 2026
Status CRN Type Section Time Day Location Instructor Section Details
3
76742
Lecture-Discussion
BD1
11:00AM -12:20PM
MW
3039 Business Instructional Fac
League, R
Availability:
Open (Restricted)
Part of Term:
1
Date Range:
08/24/26-12/09/26
Section Info:
.
Restriction(s):
Restricted to MS:Finance -UIUC, MS: Finance Cost Rec -UIUC, MS: Financial Engineering, MS: Finance - UIUC, MS: Finance Cost Rec - UIUC, or MS:Business Analytics - UIUC.
Not intended for Intl Exchange - Grad students.
3
80661
Lecture-Discussion
BD5
9:30AM -10:50AM
MW
3039 Business Instructional Fac
League, R
Availability:
Open (Restricted)
Part of Term:
1
Date Range:
08/24/26-12/09/26
Section Info:
.
Restriction(s):
Restricted to MS:Finance -UIUC, MS: Finance Cost Rec -UIUC, MS: Financial Engineering, MS: Finance - UIUC, or MS: Finance Cost Rec - UIUC.
Not intended for Intl Exchange - Grad students.
COURSE EXPLORER
Email: Course Explorer Feedback

OFFICE OF THE REGISTRAR | 901 W. Illinois Street, Urbana, Illinois 61801

Site developed by: Technology Services at Illinois | UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN
1102 Digital Computer Laboratory | MC-256 | Urbana, IL 61801 | phone 217-244-7000