Campus: NYC
Code | Title | Credits |
---|---|---|
Required Courses | ||
MGT 226 | Business Analytics | 3 |
CIS 143 | Introduction to SQL for Business | 3 |
or MGT 227 | Introduction to SQL for Business | |
or CIT 241 | Database Management | |
Group 1: Select any two courses from the following: | 6-8 | |
Introduction to Programming for Data Science | ||
Predictive Analytics | ||
Simulation and Optimization Models | ||
Machine Learning for Business | ||
Visual Analytics | ||
Group 2: Select any one course from the following: | 3-4 | |
One from Group 1 | ||
Accounting Information Systems | ||
Introduction to Data Mining | ||
Database Design | ||
Econometrics: Models and Organizations | ||
Data Analysis in Finance | ||
Operations and Supply Chain Management | ||
Project Management for Business | ||
Applied Multivariable Statistical Methods | ||
Bayesian Statistics and Modeling | ||
Applied AI with Deep Learning | ||
Total Credits | 15-18 |
NOTES:
MGT 226 is a pre-requisite for MGT 350, MGT 353, MGT 356, and MGT 352. The pre-requisite of MGT 388 is MGT 251 (or CIT 261).
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2022-2023 Undergraduate Catalog
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