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Statistics and Quantitative Modeling

BBA in Statistics and Quantitative Modeling


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

 Required Courses (12 credits)
CIS 3100 Object-Oriented Programming3 credits
OPR 3450 Quantitative Decision Making for Business I3 credits
STA 3154 Business Statistics II 3 credits
STA 3155 Intermediate Statistical Methods3 credits


Elective Courses (12 credits)
Electives may be selected after consultation with an advisor:
CIS 3400 Database Management Systems I
3 credits
CIS 4100 Object-Oriented Programming II
3 credits
OPR 3451 Quantitative Decision Making for Business II
3 credits
OPR 3452 Systems Simulation
3 credits
OPR 3453 Bayesian Statistical Inference and Decision Making
3 credits
OPR 4470 Special Topics in Operations Research
3 credits
OPR 5000 Independent Study and Research in Operations Research
3 credits
STA 3156 Sampling Theory and Practice
3 credits
STA 3253 Categorical Data Analysis
3 credits
STA 3255 Statistical Quality Control Methods
3 credits
STA 3560 Nonparametric Statistics
3 credits
STA 4000 Introduction to SAS Programming
3 credits
STA 4157 Design and Analysis of Experimental Data
3 credits
STA 4158 Analysis of Time Series
3 credits
STA 4370 Special Topics in Applied Statistics
3 credits
STA 5000 Independent Study in Statistics
3 credits
ECO 4300 Mathematical Economics
3 credits
MKT 3600 Marketing Research
3 credits
MGT 3710 Production Planning Systems
3 credits
MTH 3020 Intermediate Calculus
3 credits
MTH 4120 Introduction to Probability
4 credits
MTH 4125 Introduction to Stochastic Processes
4 credits
MTH 4130 Mathematics of Statistics
4 credits
MTH 4140 Graph Theory
3 credits
MTH 4320 Fundamental Algorithms
3 credits
MTH 4451 Risk Theory
4 credits
MTH 4500 Introductory Financial Mathematics
4 credits



Other quantitative courses may be selected subject to approval of the area advisor. A maximum of 3 elective courses may be taken outside the Zicklin School of Business.

Note 1: OPR 3300 Quantitative Methods for Accounting may be substituted for OPR 3450 with the approval of the area advisor.


 

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