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 Reporting||3 credits|
|Firms in the Global Economy||1.5 credits|
|Managerial Statistics||3 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 I||1.5 credits|
|Information Systems for Managers I||1.5 credits|
|Principles of Database Management Systems||3 credits|
|Introduction to Quantitative Modeling||3 credits|
|Simulation Modeling and Analysis||3 credits|
|Basic Software Tools for Data Analysis |
|Applied Regression Analysis||3 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.