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*

BUS 9551

Business Communication I1.5 credits
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.

MTH 2610

Calculus I*3 credits

MTH 3010

Calculus II*3 credits

STA 9708

Applied Statistical Analysis for Business Decisions3 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)

STA 9700

Applied Regression Analysis3 credits

STA 9715

Applied Probability3 credits

STA 9719

Foundations of Statistical Inference3 credits

STA 9750

Software Tools for Data Analysis  


OPR 9750


3 credits

Choose four courses from:    (12 credits)

STA 9690

Advanced Data Mining for Business Analytics**3 credits

STA 9701

Time Series: Forecasting and Statistical Modeling3 credits

STA 9705

Multivariate Statistical Methods3 credits

STA 9706

Analysis of Categorical and Ordinal Data3 credits

STA 9710

Statistical Methods in Sampling and Auditing3 credits

STA 9712

Advanced Linear Models3 credits

STA 9713

Financial Statistics3 credits

STA 9714

Experimental Design for Business3 credits

STA 9783

Stochastic Processes for Business Applications 


OPR 9783


3 credits

STA 9791

Special Topics in Statistics1 credit

STA 9792

Special Topics in Statistics1.5 credits

STA 9793

Special Topics in Statistics2 credits

STA 9794


STA 9772


Special Topics in Statistics3 credits

STA 9850

Advanced Statistical Computing   


OPR 9850


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.