Course Schedule, Part-time Online Program

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.

MSDS 451-DL : Financial and Risk Analytics


Description

This course introduces applications of machine learning techniques to finance. Financial data presents special challenges to standard machine learning techniques, engendering significant adaptations. Topics include a basic introduction to finance, nuances of financial features engineering, techniques to avoid various biases during model training, and example applications such as meta-labeling.

Recommended prior course: MSDS 413-DL Time Series Analysis and Forecasting.

Prerequisites: (1) MSDS 420-­DL Database Systems and Data Preparation or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning

*Prior to spring 2021, this course was titled Financial and Risk Analytics.

 


Winter 2023
Start/End DatesDay(s)TimeBuildingSection
01/03/23 - 03/18/23Sync Session M
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Sanyal, Dipyaman
Online
Open
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