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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 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. Non-credit-bearing English language modules 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 for Applications I 3 credits
Mathematical Tools for Business 3 credits
Applied Statistical Analysis for Business Decisions 3 credits

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  

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3 credits

Choose four courses from           (12 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
Special Topics in Statistical Analysis 3 credits
Stochastic Processes for Business Applications 

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3 credits
Advanced Statistical Computing   

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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.

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