DATA 5690 - Computational Methods for FinTech

Institution:

Utah State University

Subject:

Data Analytics

Description:

Computational finance is an interdisciplinary pillar of modern FinTech, at the intersection of data science, computer science, and economics. In this course students apply tools from computational science and statistics to identify and exploit arbitrage opportunities for entrepreneurial financial innovation. Additional coursework is required for those enrolled in the graduate-level course. Prerequisite(s): - DATA 3100 or STAT 3000 - DATA 3500 or CS 1400 - FIN 3200 or CEE 4200 - DATA 5500 or CS 2420 (may be taken concurrently) Dual-listed as: DATA 6690

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.usu.edu

Phone Number:

(435) 797-1000

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

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