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. |
| Elements of Calculus and Matrix Algebra | 3-4 credits |
| elements Elements of Calculus II | 3-4 credits |
| Managerial Statistics | 3 credits |
*MTH 2207 and MTH 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) |
| Business Communication I | 1.5 credits |
| Applied Regression Analysis | 3 credits |
| Applied Probability | 3 credits |
| Foundations of Statistical Inference | 3 credits |
| 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.
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| 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 | credits |
| Special Topics in Statistics | 1 credit |
| Special Topics in Statistics | 1.5 credits |
| Special Topics in Statistics | 2 credits |
STA 9794 | Special Topics in Statistical Analysis | 3 credits |
STA 9797 | Advanced Data Analytics | 3 credits |
STA/OPR 9850 | Advanced Statistical Computing | 3 credits |
STA 9890 | Statistical Learning for Data Mining | 3 credits |
STA 9891 | Machine Learning for Data Mining | 3 credits |
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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:
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STA 9705 | Multivariate Statistical Methods | 3 credits |
STA 9797 | Advanced Data Analysis | 3 credits |
STA 9890 | Statistical Learning for Data Mining | 3 credits |
STA 9891 | Machine Learning for Data Mining | 3 credits |
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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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