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 train students in the application of mathematical models and decision making in business, industry, and government. This is also the aim of the MBA program in decision sciences, which is also offered by the Department of Statistics and Computer Information Systems. Both programs provide students with the concepts and skills that form the fundamental base of knowledge essential to quantitative-decision-making professionals in today's business environment. The MS program in quantitative methods and modeling is intended for individuals who wish to be employed as quantitative analysts or for those students who may wish to subsequently pursue a PhD in operations research or a related field. This 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 the student's professional and/or educational objectives. Although this MS program has a business orientation, it does not include the many general business courses found in the MBA in decision sciences program.
Preliminary Courses (9.5 - 10.5 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. |
||
|
Credits
|
||
| ENG 8192 | Written English for International Students |
1.5
|
| *MTH 8001 | Calculus for Applications I |
3
|
| STA 9708 | Applied Statistical Analysis for Business Decisions |
3
|
| Choose one of the following | ||
| ACC 9110 | Financial Accounting |
3
|
| ECO 9708 | Microeconomics for Managers |
2
|
|
*Students may substitute MTH 2206 Applied Calculus on a space available basis. |
||
Courses in SpecializationRequired Courses (18 credits) |
||
| CIS 9000 | Information Systems for Managers |
3
|
| CIS 9340 | Principles of Database Management Systems |
3
|
| OPR 9721 | Introduction to Quantitative Modeling |
3
|
| OPR 9730 | Simulation Modeling and Analysis |
3
|
| STA 9000 | Regression and Forecasting Models for Business Applications |
3
|
| STA 9750 / OPR 9750 | Basic Software Tools for Data Analysis |
3
|
Elective Courses (12 credits)
Four courses to be selected with approval of the faculty advisor. It is recommended that students select at least one course in each of the three areas: CIS, OPR, STA. A maximum of three courses may be selected from any one area. Students may select BUS 9800 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
Arie.Harel@baruch.cuny.eduProf. Robert Blau
Faculty Advisor
Department of Statistics and Computer Information Systems
(646) 312-3409
Robert.Blau@baruch.cuny.edu
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 Graduate Studies
Full-Time Honors MBA and Accelerated Part-Time MBA Programs:
(646) 312-3130
Maria.DiBenedetto@baruch.cuny.eduFlex-Time MBA and MS Programs:
(646) 312-3140
Graduate Studies
Website: Graduate Studies
