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.
Major Requirements (Students who declared the major in Spring 2020 or later)
(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)
(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 |
Object-Oriented Programming II |
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 |
Design and Analysis of Experimental Data |
3
|
STA 4158 |
Analysis of Time Series |
3
|
STA 4170/CIS 4170 |
Data Visualization |
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.
|
Major Requirements for Students Who Declared the Major Prior to Spring 2020
(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 |
Object-Oriented Programming II |
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 |
Design and Analysis of Experimental Data |
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
|
MGT 3710 |
Introduction to 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.
|
For further information on the SQM-BBA major, please contact Area Advisor, Professor Zeda Li at Zeda.Li@baruch.cuny.edu.