Statistics and Quantitative Modeling BBA

The statistics and quantitative modeling major is designed to develop quantitative thinking skills that are invaluable in business. The student will take courses from a variety of quantitative disciplines that focus extensively on statistical methodology, mathematical modeling, and computer implementation issues applied to business. The use of the computer for the solution and analysis of business problems is an integral part of the program. Graduates of this program will have a broad foundation in statistics or quantitative modeling and will be well positioned for the analysis and solution of decision problems facing business and industry in the 21st century.

It is essential that the student consult with an area advisor to plan a program prior to taking any courses in the major.

General Statistics and Quantitative Modeling Track (Students who entered Baruch or declared the major in Spring 2023 or later)

General Statistics and Quantitative Modeling Track (Students who entered Baruch or declared the major prior to Spring 2023)

Data Science Track

For further information on the SQM-BBA major, please contact Area Advisor, Professor Youngdeok Hwang at Youngdeok.Hwang@baruch.cuny.edu.

Required Courses (12 credits)		Credits
STA 3000	Statistical Computing	3
OPR 3450*	Quantitative Decision Making for Business I	3
STA 3154	Business Statistics II	3
STA 4155	Regression and Forecasting Models for Business Applications	3
Elective Courses (12 credits) (No more than six credits outside of the CIS, OPR, STA and MTH)
CIS 2300	Programing and Computational Thinking	3
CIS 3100	Object Oriented Programing	3
CIS 3120	Programing for Analytics	3
CIS 3400	Database Management Systems I	3
CIS 4100	Data Structures and Algorithms	3
CIS 4170	Data Visualization	3
CIS 4400	Data Warehousing for Analytics	3
OPR 3451	Quantitative Decision Making for Business II	3
OPR 3453	Bayesian Statistical Inference and Decision Making	3
OPR 4470	Special Topics in Operations Research	3
OPR 5000	Independent Study and Research in Operations Research	3
STA 3920/CIS 3920	Data Mining for Business Analytics	3
STA 4000	Introduction to SAS Programming	3
STA 4157	Experimental Design for Machine Learning	3
STA 4158	Analysis of Time Series	3
STA 4370	Special Topics in Applied Statistics	3
STA 4920	Advanced Data Mining	3
STA 5000	Independent Study in Statistics	3
MKT 3600	Marketing Research	3
MKT 4123	Marketing Web Analytics and Intelligence	3
MKT 4561	Marketing Analytics	3
MTH 3020	Calculus III	4
** Any MTH 4000 and above is also accepted as an elective
Note: OPR 3300 Quantitative Methods for Accounting may be substituted for OPR 3450 with the approval of the area advisor.

(PDF Version of Degree Requirements) Required Courses (12 credits)		Credits
STA 3000	Statistical Computing	3
OPR 3450*	Quantitative Decision Making for Business I	3
STA 3154	Business Statistics II	3
STA 4155	Regression and Forecasting Models for Business Applications	3
Elective Courses (12 credits) Electives may be selected after consultation with an advisor:
CIS 3400	Database Management Systems I	3
CIS 4100	Data Structures and Algorithms	3
OPR 3451	Quantitative Decision Making for Business II	3
OPR 3452	Systems Simulation	3
OPR 3453	Bayesian Statistical Inference and Decision Making	3
OPR 4470	Special Topics in Operations Research	3
OPR 5000	Independent Study and Research in Operations Research	3
STA 3156	Sampling Theory and Practice	3
STA 3253	Categorical Data Analysis	3
STA 3255	Statistical Quality Control Methods	3
STA 3560	Nonparametric Statistics	3
STA 4000	Introduction to SAS Programming	3
STA 4157	Experimental Design for Machine Learning	3
STA 4158	Analysis of Time Series	3
STA 4370	Special Topics in Applied Statistics	3
STA 5000	Independent Study in Statistics	3
MKT 3600	Marketing Research	3
OPM3710	Supply Chain Management	3
MTH 3020	Intermediate Calculus	4
MTH 4120	Introduction to Probability	4
MTH 4125	Introduction to Stochastic Processes	4
MTH 4130	Mathematics of Statistics	4
MTH 4140	Graph Theory	3
MTH 4320	Fundamental Algorithms	4
MTH 4451	Risk Theory	4
MTH 4500	Introductory Financial Mathematics	4
Note: OPR 3300 Quantitative Methods for Accounting may be substituted for OPR 3450 with the approval of the area advisor.

Required Courses (15 credits)
STA 3000	Statistical Computing	3
STA 3154	Business Statistics II	3
CIS 3920/STA 3920	Data Mining for Business Analytics	3
STA 4155	Regression and Forecasting Models for Business Applications	3
STA 4157	Experimental Design for Machine Learning	3
Elective Courses (9 credits)
STA 4158	Analysis of Time Series	3
STA 4370	Special Topics in Applied Statistics	3
STA 4920	Advanced Machine Learning	3
STA 5000	Independent Study and Research in Statistics I	3
CIS 2300	Programing and Computational Thinking	3
CIS 3120	Programing for Analytics	3
CIS 3400	Database Management Systems	3
CIS 4120	Applied Natural Language Processing	3
CIS 4130	Big Data Technologies	3
CIS 4170	Data Visualization	3
OPR 3450	Quantitative Decision Making for Business I	3

baruch college | zicklin school of business

Zicklin Undergraduate Programs

Required Courses (12 credits)

Elective Courses (12 credits)

Required Courses (12 credits)

Elective Courses (12 credits)

Required Courses (15 credits)

Elective Courses (9 credits)