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Quantitative Methods and Modeling

MS in Quantitative Methods and Modeling

The Master of Science (MS) in Quantitative Methods and Modeling


The MS 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 list of preliminary and specialization courses in given below.

Note: The requirements below apply to students aditted in fall 2012 or later.  Students admitted prior to fall 2012 should consult their faculty advisor, Prof. Harel or the Office of MS Programs, to see if they are eligible to pursue this revised program.

Preliminary Courses (7.5 - 9 credits)

Students with an appropriate 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.

*MTH 8001 Calculus for Applications I
STA 9708 Applied Statistical Analysis for Business Decisions
Choose one of the following
ACC 9110 Financial Accounting
ECO 9730 Fundamentals of Microeconomics

*MTH 8001 is no longer offered and is replaced by MTH 2610 Calculus I (4 hours, 4 credits).  This is an undergraduate course to which graduate tuition applies.  (Students admitted prior to spring 2014 who completed MTH 2207 will receive credit for this course.)

Courses in Specialization

Required Courses (16.5 credits)

CIS 9001 Information Systems for Managers
CIS 9340 Principles of Database Management Systems
OPR 9721 Introduction to Quantitative Modeling
OPR 9730 Simulation Modeling and Analysis
*STA 9000 Regression and Forecasting Models for Business Applications
STA 9750 / OPR 9750 Basic Software Tools for Data Analysis
*STA 9000 can be replaced with STA 9700 Applied Regression Analysis (3 credits).

Elective Courses (13.5 credits)

Five courses to be selected with approval of the department advisor. It is recommended that the students select at least one course in each of the three areas: OPR, STA, CIS. A maximum of three courses may be selected from any one area. Students may select BUS 9801-BUS 9803 or an approved quantitatively-oriented course offered outside the department.

For further information, contact:

Prof. Arie Harel
Faculty Advisor
Department of Statistics and Computer Information Systems
(646) 312-3394

Graduate Admissions

Address: 151 E. 25th St. Room 820 (between Lexington and Third Avenues)
Phone: (646) 312-1300
Fax: (646) 312-1301
Website: Graduate Admissions

Office of MS Programs and Academic Services

Address: Newman Vertical Campus, Room 13-221 
Phone: (646) 312-3140

Fax: (646) 312-3141 

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