Baruch College Graduate Bulletin - Fall 2022 / Spring 2023 – CURRENT

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This bulletin is the official Baruch College Graduate Bulletin that all students should reference – do not reference the bulletin listed on the website of CUNY’s University Registrar. For curriculum questions, please contact the Dean’s Office of the applicable school.

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MS in Statistics Program Learning Goals

General Statistical Competence

Students will be able to apply appropriate probability models and statistical techniques when analyzing problems form business and the other fields.

Statistical Practice

Students will become familiar with the standard tools of statistical practice for multiple regression, along with the tools of a subset of specialized statistical areas such as multivariate analysis, applied sampling, time series analysis, experimental design, data mining, categorical analysis, and/or stochastic processes.

Technology Competency

Students will learn to use one or more of the benchmark statistical software platforms, such as SAS or R.


MS in Statistics Curriculum 31.5 - 42.5 Credits

Preliminary Courses    (9-11 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.

MTH
2610
2207* 
Elements of Calculus
I
and Matrix Algebra3-4 credits
MTH
3010
3006* 
Elements of Calculus II3-4 credits
STA 9708 
Managerial Statistics3 credits
*MTH
2610
2207 and MTH
3010
3006 are undergraduate courses. Entering students are strongly advised to complete a minimum of six credits of calculus before starting the MS programs in Statistics, in order to waive these math requirements. Baruch undergrads who completed MTH 2610, and who need Calculus II, will need to complete MTH 3010 instead of MTH 3006.


Courses in Specialization    (31.5 credits)

Required for the General and Data Science Track   (13.5 credits)

BUS 9551 
Business Communication I1.5 credits
STA 9700 
Applied Regression Analysis3 credits
STA 9715 
Applied Probability3 credits
STA 9719 
Foundations of Statistical Inference3 credits
STA 9750/OPR 9750 
Software Tools for Data Analysis   credits


General Track: Choose 12-18 credits from the list below.  If you plan to specialize in the Data Science concentration, please ensure you take the appropriate electives specific to that track. 

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/OPR 9783 
Stochastic Processes for Business Applications  credits
STA 9791 
Special Topics in Statistics1 credit
STA 9792 
Special Topics in Statistics1.5 credits
STA 9793 
Special Topics in Statistics2 credits
STA 9794Special Topics in Statistical Analysis3 credits

STA 9797

Advanced Data Analytics3 credits

STA/OPR 9850

Advanced Statistical Computing3 credits

STA 9890

Statistical Learning for Data Mining3 credits

STA 9891

Machine Learning for Data Mining3 credits
 

Concentration in Data Science (12 credits): In addition to the 13.5 credits of required MS courses, students must take all of the following required data science courses:

STA 9705

Multivariate Statistical Methods3 credits

STA 9797

Advanced Data Analysis3 credits

STA 9890

Statistical Learning for Data Mining3 credits

STA 9891

Machine Learning for Data Mining3 credits
 

Business Electives (6 credits):

Choose 6 credits of 9000-level courses from the graduate offerings of the Zicklin School of Business, with the exception of STA 9708; courses applied towards a prior master's degree; or courses that do not allow credit to be given for both that course and another statistics course. Students may take additional statistics courses as their business electives. Students may take up to 3 credits of internship (BUS 9801-9803 or BUS 9811-9813) toward their business electives.

 

 

 

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