Program Prerequisites: (Interested students should speak with Professor Youngdeok Hwang in the Paul H. Chook Department of Information Systems and Statistics or any mathematics advisor in the Mathematics Department.)
As a preliminary requirement, students must complete the following courses:
| STA 2000 Business Statistics I | 3 credits |
| MTH 3020 Intermediate Calculus or MTH 3030Analytic Geometry and Calculus II or MTH 3050 Multi-Variable and Vector Calculus | 4-5 credits |
Required Courses
Students must take the following courses:
| MTH 4100 | Linear Algebra and Matrix Methods | 3 credits |
| MTH 4120 | Introduction to Probability** | 4 credits |
| MTH 4430 | Mathematics of Inferential Statistics | 4 credits |
| STA 3000 | Statistical Computing | 3 credits |
| STA 3920 | Data Mining for Business Analytics | 3 credits |
| STA 4155 or MTH 4130^ | Regression and Forecasting Models for Business Applications Mathematics of Data Analysis | 3 credits or 4 credits |
^ Students can receive credit for only one of these two courses. **
Students who have completed MTH 3120 cannot enroll in MTH 4120. They must satisfy the probability requirement by completing MTH 4119 (please consult the Department of Mathematics).
Students must take one of the following courses: ***
| STA 4920 | Advanced Data Mining | 3 credits |
| STA 4158 | Analysis of Time Series | 3 credits |
| STA 4000 | Introduction to SAS Programming | 3 credits |
| OPR 3450 | Quantitative Decision Making for Business I | 3 credits |
*** These courses may also be used as electives for the major
Electives
Students must complete one additional course from the following list:
| MTH 4000 | Bridge to Higher Mathematics | 3 credits |
| MTH 4010 | Mathematical Analysis I | 3 credit |
| MTH 4020 | Advanced Calculus II | 3 credits |
| MTH 4030 | Topology | 3 credits |
| MTH 4110 | Ordinary Differential Equations | 3 credits |
| MTH 4115 | Numerical Methods for Differential Equations in Finance | 4 credits |
| MTH 4125 | Introduction to Stochastic Process | 4 credits |
| MTH 4135 | Computational Methods in Probability | 3 credits |
| MTH 4140 | Graph Theory | 3 credits |
| MTH 4145 | Mathematical Modeling * | 3 credits |
| MTH 4150 | Combinatorics | 3 credits |
| MTH 4200 | Theory of Numbers | 3 credits |
| MTH 4210 | Elements of Modern Algebra | 3 credits |
| MTH 4220 | Introduction to Modern Geometry | 3 credits |
| MTH 4230 | History of Mathematics | 3 credits |
| MTH 4240 | Differential Geometry * | 3 credits |
| MTH 4300 | Algorithms, Computers and Programming II | 3 credits |
| MTH 4310 | Methods of Numerical Analysis | 3 credits |
| MTH 4315 | Introduction to Mathematical Logic | 3 credits |
| MTH 4320 | Fundamental Algorithms | 3 credits |
| MTH 4410 | Theory of Interest | 4 credits |
| MTH 4420 | Actuarial Mathematics I | 4 credits |
| MTH 4421 | Actuarial Mathematics II | 4 credits |
| MTH 4451 | Short-Term Insurance Mathematics | 4 credits |
| MTH 4500 | Introductory Financial Mathematics | 4 credits |
| MTH 4600 | Data Analysis and Simulation for Financial Engineers | 4 credits |
| MTH 5010 | Advanced Calculus III * | 3 credits |
| MTH 5020 | Theory of Functions of a Complex Variable | 3 credits |
| MTH 5030 | Theory of Functions of Real Variables * | 3 credits |
| MTH 5100 | Partial Differential Equations and Boundary Value Problems * | 4 credits |
| MTH 5500 | Stochastic Calculus for Finance | 4 credits |
| CIS 2300 | Programming and Computational Thinking | 3 credits |
| CIS 3100 | Object-Oriented Programming | 3 credits |
| CIS 3120 | Programming for Analytics | 3 credits |
| CIS 3400 | Database Management Systems I | 3 credits |
| CIS 4100 | Object-Oriented Programming II | 3 credits |
| CIS 4400 | Data Warehousing for Analytics | 3 credits |
| OPR 3450 | Quantitative Decision Making for Business I | 3 credits |
| OPR 3451 | Quantitative Decision Making for Business II | 3 credits |
| OPR 3453 | Bayesian Statistical Inference and Decision Making | 3 credits |
| OPR 4470 | Special Topics in Operations Research | 3 credits |
| OPR 5000 | Independent Study and Research in Operations Research | 3 credits |
| STA 4000 | Introduction to SAS Programming | 3 credits |
| STA 4157 | Design and Analysis of Experimental Data | 3 credits |
| STA 4158 | Analysis of Time Series | 3 credits |
| STA 4170 | Data Visualization | 3 credits |
| STA 4370 | Special Topics in Applied Statistics | 3 credits |
| STA 4920 | Advanced Data Mining | 3 credits |
| STA 5000 | Independent Study in Statistics | 3 credits |
* These courses are offered infrequently, subject to student demand.
One Bernard Baruch Way
(55 Lexington Ave. at 24th St)
6th Floor, Room 6-230
Tel: 646.312.4110 / Fax: 646.312.4111