For additional program information see the Zicklin School website
The Master of Science in Statistics 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. The MS program provides students with the concepts and skills that form the fundamental base of knowledge essential to statistics professionals in today's sophisticated business environment including the technical background and capabilities required for the newer approaches to overall business analytics and data mining. 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. Students completing the MS degree successfully go on to careers as statisticians and sometimes continue to pursue a Ph.D. in statistics. The MS is a 30 credit program consisting largely of statistics courses and some related business courses which can be completed either part-time or full-time.
| Required for all MS Students* |
| Business Communication I | 1.5 credits |
| or |
| Program specific, 1.5 credit equivalent business communication instruction approved by the Graduate Curriculum Committee. |
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)
Required (12 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) |
| Advanced 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 |
| | | |
Business Electives (6 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. *Effective spring 2016. **Effective spring 2016; students admitted prior to fall 2015 will receive credit for STA/CIS 9660. |
