Zicklin’s Master’s in Quantitative Methods and Modeling equips you with a strong quantitative skill set that lets you take a large amount of data and transform it into clear information that’s critical to an organizations’ decision making process.
With the economy’s growing reliance on big data, the statistical analysis, modeling, and computer information systems expertise you will gain with an M.S. in Quantitative Methods and Modeling will help you stand out in the job market.
- 31.5 – 38.5 Credits
- Average program completion is 3-4 semesters
- Flexible scheduling allows you to switch between part-time and full-time course loads
- Qualifies for Department of Homeland Security OPT Extension for STEM International Students
Citi, City Harvest, Deloitte, Godiva Chocolatier, Google, IBM, Microsoft, NBA, PwC, NYC Department of Citywide Administrative Services
Yield Manager, Operation Data Analyst, Quantitative Research Associate, Senior Product Manager-Passenger Growth Strategy, Market Risk Analyst, Director of Workforce Analytics, Quantitative Analyst, Data Intelligence Analyst
The M.S. in Quantitative Methods and Modeling provides you with a broad spectrum of basic quantitative skills through required courses that cover the areas of operations research, statistics, and computer information systems.
You can customize your education with our flexible elective options, which allow you to tailor your studies to your professional and educational goals. Students also have the option of doing a graduate internship.
Visa Extension for STEM International Students
The Master’s in Quantitative Methods and Modeling conforms to the U.S. Department of Homeland Security’s STEM (Science, Technology, Engineering, Math) program that qualifies eligible international graduates on student visas for an optional practical training extension of 24-months. Find out more here.
Preliminary Courses (7 credits)
|Students with appropriate academic background will be able to reduce the number of credits in preliminary requirements.|
|MTH 2207||Elements of Calculus and Matrix Algebra||4|
|STA 9708||Managerial Statistics||3|
Note: MTH 2207 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.
Waivers based on prior course work:
This curriculum is effective for students entering in Fall 2022. Students who entered prior to Fall 2022 should review the Graduate Bulletin or contact a program advisor to confirm their degree requirements.
Total credits will range from 31.5 (no preliminary courses required) to 38.5 (all preliminary courses required).
Courses in Specialization (31.5 credits)
Required Courses (16.5 credits)
|BUS 9551||Business Communication I||1.5|
|CIS 9340||Principles of Database Management Systems||3|
|OPR 9721||Introduction to Quantitative Modeling||3|
|OPR 9730||Simulation Modeling and Analysis||3|
|OPR 9750 (STA 9750)||Basic Software Tools for Data Analysis||3|
|STA 9700||Applied Regression Analysis||3|
Elective Courses (15 credits)
Students can select any OPR, STA, or CIS course totaling 15 credits. With the approval of the department advisor students may select quantitatively-oriented course(s)n other areas. Students may also select appropriate Graduate Internship courses.
Office of Graduate Admissions
Address: 151 E. 25th St. Room 820
Phone: (646) 312-1300
Fax: (646) 312-1301
Website: Graduate Admissions