For additional program information see the Zicklin School website
The statistics specialization is designed to train students in the design and application of quantitative models to decision making in business, finance, pharmaceutical and other industries, and government. An MS program and an MBA program are offered through the Department of Statistics and Computer Information Systems. Both provide students with the concepts and skills that form the fundamental base of knowledge essential to statistics professionals in today's sophisticated business environment. The MS program is designed to provide a concentrated, in-depth study of the field for those who wish to be technical specialists in statistics. The program consists of 30 credits of mostly statistics, and some related courses. This distinguishes it from the Statistics MBA program, which requires general business courses and a larger number of credits for graduation. The MS is offered as a full-time and as a part-time program.
Preliminary Courses (9 credits) Students with appropriate academic background will be able to reduce the number of credits in preliminary requirements. Grades in undergraduate mathematics courses are not calculated in the grade point average. Non-credit-bearing English language courses 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. | ||
| Calculus I* | 3 credits | |
| Calculus II* | 3 credits | |
| Applied Statistical Analysis for Business Decisions | 3 credits | |
*MTH 2610 and MTH 3010 are undergraduate courses. Entering students are strongly adviced to complete a minimum of six credits of calculus before starting the MS programs in Statistics, in order to waive these math requirements. Courses in Specialization (30 credits) | ||
| Applied Regression Analysis | 3 credits | |
| Applied Probability | 3 credits | |
| Foundations of Statistical Inference | 3 credits | |
| Software Tools for Data Analysis ( ) | 3 credits | |
Choose four courses from: (12 credits) | ||
Data Mining for Business Analytics ( ) | 3 credits | |
| Time Series: Forecasting and Statistical Modeling | 3 credits | |
| Multivariate Statistical Methods | 3 credits | |
| Analysis of Categorical and Ordinal Data | 3 credits | |
| Statistical Methods in Sampling and Auditing | 3 credits | |
| Advanced Linear Models | 3 credits | |
| Financial Statistics | 3 credits | |
| Experimental Design for Business | 3 credits | |
| Stochastic Processes for Business Applications ( ) | 3 credits | |
| Special Topics in Statistics | 1 credit | |
| Special Topics in Statistics | 1.5 credits | |
| Special Topics in Statistics | 2 credits | |
(formerly ) | Special Topics in Statistics | 3 credits |
| Advanced Statistical Computing ( ) | 3 credits | |
Choose two 9000-level courses from the graduate offerings of the Zicklin School of Business, subject to the written approval of the Statistics graduate advisor. Student may take additional statistics courses as their business electives. | ||