For additional program information see the Zicklin School website
The MS in quantitative methods and modeling (QMM) is a 30-credit program. The QMM program 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 fivefour-course quantitative sequence tailored to a student's professional and/or educational objectives. Students also have the option of doing a graduate internship. The list of preliminary and specialization courses is given below. 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 I | 1.5 credits | |||||||||
or | |||||||||||
Program specific, 1.5 credit equivalent business communication instruction approved by the Graduate Curriculum Committee. | |||||||||||
Preliminary Courses (78.5 - 9 10 credits) Students with an appropriate appropriate academic background will be able to reduce the number of credits in preliminary requirements. Grades in 8000-level courses are not calculated in the grade point average. 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. | |||||||||||
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| Calculus for Applications I* | 3 credits4 credits | |||||||||
| Financial Accounting | 3 credits | |||||||||
or | |||||||||||
| Fundamentals of Microeconomics | 1.5 credits | |||||||||
| Applied Statistical Analysis for Business Decisions | 3 credits | |||||||||
*MTH 8001 is no longer offered and is replaced by MTH 2610 Calculus 1 (4 hours, 4 credits). This is an undergraduate course to which graduate tuition applies. (Students admitted prior to spring 2014 who completed MTH 2007 will receive credit for this 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 Courses in Specialization (30 credits) Required (16.5 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 | |||||||||
| Regression and Forecasting Models for Business Applications | 3 credits |
| Basic Software Tools for Data Analysis (
| 3 credits | ||||||
| Applied Regression Analysis | 3 credits | |||||||||
Electives (13.5 credits) Five courses to be selected with approval of the department advisor. It is recommended that the student select at least one course three credits in each of the three areas: OPR, STA, and CIS. A maximum of three courses may of 9 credits may be selected from any one area. Students With approval of the department advisor students may select
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*Effective spring 2016.