Business Analytics (BA) Minor - NYC

Campus: NYC

The Business Analytics minor is designed to enable non-Business Analytics majors to achieve competency in quantitative modeling and data analysis that will enhance their career preparation. This minor will provide students with the tools and skills needed to use quantitative data effectively in making business decisions in any field.

The minor consists of five courses with minimum of 15 credits.

Minor Requirements

Course List
Code	Title	Credits
Required Courses
MGT 226	Business Analytics	3
Select one of the following:		3-4
CIS 143	Introduction to SQL for Business
MGT 227	Introduction to SQL for Business
CIT 241	Database Management
Group 1: Select any two courses from the following:		6-8
MGT 251	Introduction to Programming for Data Science
or CIT 261	Introduction to Coding Using Python
MGT 353	Predictive Analytics
MGT 356	Simulation and Risk Analysis
MGT 386	Optimization Models
MGT 388	Machine Learning for Business
or CIT 348	Data Mining
MAR 368	Visual Analytics
Group 2: Select any one course from the following:		3-4
One from Group 1
ACC 375	Accounting Information Systems
CS 325	Introduction to Data Mining
CS 387	Database Design
CIT 346	Database Programming
ECO 385	Econometrics: Models and Organizations
FIN 325	Data Analysis in Finance
MGT 350	Operations and Supply Chain Management
MGT 357	Project Management for Business
MAT 218	Applied Regression Models
MAT 222	Applied Multivariable Statistical Methods
Total Credits		15-19

NOTES:

MGT 226 is a pre-requisite for MGT 350, MGT 353, MGT 356, and MGT 386. The pre-requisite of MGT 388 is MGT 251 (or CIT 261).

For students interested in learning and applying Python, a sequence of MGT 251 (or CIT 261) followed by MGT 388 is recommended. For advanced Excel applications, MGT 356 and MGT 386 are recommended.