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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).

 

English Language Proficiency*
Students who completed their undergraduate education in a non-English speaking country will be required to take non-credit bearing modules in Grammar Troubleshooting and American English Pronunciation offered by the Division of Continuing and Professional Studies. These modules may be waived based on a waiver exam. The modules are not required for students who completed a four-year degree in an English-speaking country.

Preliminary Courses    (8.5 - 10 credits)

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

 

Calculus I*4 credits
Financial Reporting3 credits
or 
Firms in the Global Economy1.5 credits
Managerial Statistics3 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  (31.5 credits)

Required    (18 credits)  
Business Communication I1.5 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 adviser students may select BUS 9801 - BUS 9803 graduate Internship or an approved quantitatively oriented course offered outside the department.

* Effective for all MS-Quantitative Methods and Modeling students admitted in spring 2016 or later. Students admitted prior to spring 2016 should consult their preliminary course evaluation and/or waiver exam results, since other requirements and conditions may apply.

** Formerly ACC 9110 Financial Accounting ; new course title effective Spring 2017.

*** Formerly ECO 9730 Fundamentals of Microeconomics; new course title effective Spring 2017.

 +Formerly STA 9708 Applied Statistical Analysis for Business Decisions; New course title effective Spring 2017.

 

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