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Statistics and Quantitative Modeling

Overview

Official Name of Program

Statistics and Quantitative Modeling

Plan Code

SQM-BBA

Department(s) Sponsoring Program

Career

Undergraduate

Degree Designation

BBA - Bachelor of Business Administration

HEGIS Code

0503.00

NYSED Program Code

01916 - SQM-BBA

CIP Code

52.1302

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.

Program Learning Goals

Quantitative Thinking Skills

Students will be able to apply the quantitative thinking and the mathematical modeling process to solve real-world problems

Data Analysis

Students will be able to identify appropriate methodology, conduct analysis, and interpret results

Deterministic Modeling Methods

Students will be able to model deterministic mathematical programming problems

Probabilistic Modeling Methods

Students will be able to model probabilistic problems dealing with decision analysis and simulation

Statistical Modeling

Students will be able to model statistical problem applied to business

Technological Skills

Students will be proficient in appropriate software to solve problems in statistics and quantitative modeling

Communication Skills

Students will be able to effectively communicate statistical and quantitative modeling methods for decision making to technical and non-technical audiences

 

Requirements