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For additional program information see the Zicklin School website

A high priority for many organizations today is the transformation of an enormous amount of available data into usable information.  Consequently, many companies are looking for individuals who are well-versed in modeling, statistical analysis, and computer information systems as the job market for people who have the ability to deal effectively with information is expanding at a tremendous pace.  The Master of Science in Quantitative Methods and Modeling  program is designed to provide a broad spectrum of basic quantitative skills; thus, the required specialization courses span the areas of operations research, statistics, and computer information systems. The flexible elective requirements permit the creation of a four-course quantitative sequence tailored to a student's professional and/or educational objectives. Students also have the option of doing a graduate internship. The MS program conforms with the DHS - STEM program so that international students who graduate from the MS/QMM program may be eligible for an additional 17-month extension on their optional practical training (OPT).

 

Required for all MS Students*
Business Communication I1.5 credits
or
Program specific, 1.5 credit equivalent business communication instruction approved by the Graduate Curriculum Committee.

Preliminary Courses    (8.5 - 10 credits)

Students with appropriate academic background will be able to reduce the number of credits in preliminary requirements.

English language modules offered by the Division of Continuing and Professional Studies are required for non-native English speakers, and may be waived based on a waiver exam.

 

Calculus I*4 credits
Financial Accounting3 credits
or 
Fundamentals of Microeconomics1.5 credits
Applied Statistical Analysis for Business Decisions3 credits

*MTH 2610 is an undergraduate course. Entering students are strongly encouraged to complete a minimum of three credits of calculus before starting the MS program in order to waive this math requirement.

 

Courses in Specialization  (30 credits)

 

Required    (16.5 credits)  
Information Systems for Managers I1.5 credits
Principles of Database Management Systems3 credits
Introduction to Quantitative Modeling3 credits
Simulation Modeling and Analysis3 credits
Basic Software Tools for Data Analysis 

(

)

3 credits
Applied Regression Analysis3 credits

Electives    (13.5 credits)

It is recommended that the student select at least three credits in each of the three areas: OPR, STA, and CIS. A maximum of 9 credits may be selected from any one area.

With approval of the department advisor students may select

Graduate Internship or an approved quantitatively oriented course offered outside the department.

*Effective spring 2016.

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