STATISTICS ELECTIVE COURSES (MUST COMPLETE A MINIMUM OF 3 TOTAL)
| STAT | # | Course Title |
| STAT | GR5206 | Statistical Computing and Intro to Data Science |
| STAT | GR5207 | Elementary Stochastic Processes |
| STAT | GR5221 | Time Series Analysis |
| STAT | GR5222 | Nonparametric Statistics |
| STAT | GR5223 | Multivariate Stat Inference |
| STAT | GR5224 | Bayesian Statistics |
| STAT | GR5231 | Survival Analysis |
| STAT | GR5232 | Generalized Linear Models |
| STAT | GR5233 | Regression and Multi-Level Models |
| STAT | GR5234 | Sample Surveys |
| STAT | GR5241 | Statistical Machine Learning |
| STAT | GR5242 | Advanced Machine Learning |
| STAT | GR5243 | Applied Data Science |
| STAT | GR5261 | Statistical Methods in Finance |
| STAT | GR5262 | Stochastic Processes for Finance |
| STAT | GR5263 | Stat Inf/Time-Series Modeling |
| STAT | GR5264 | Stochastic Processes Applications I |
| STAT | GR5265 | Stochastic Methods in Finance |
| STAT | GR5399 | Statistical Fieldwork |
| STAT | GR5293* | Topics in Modern Statistics |
| STAT | GR5398** | MA Mentored Research |
*GR5293 may only count ONCE as an approved elective for the MA Program, unless approval is obtained from the academic advisor.
**GR5398 will be counted as an elective towards graduation, only if taken for a letter grade.
PHD LEVEL COURSES IN STATISTICS
Selected PhD level statistics courses may be open to MA Statistics Students only through an application process. For more information on the process and how to apply, click HERE.
Below are electives a student might select based on interest area. These courses are recommended as a guide in course selection; however, they are not required.
Admittance into any course below is not guaranteed. All courses are subject to availability.
FINANCE
| GR5221 | Time Series Analysis |
| GR5207 | Elementary Stochastic Processes |
| GR5264 | Stochastic Processes-Applications I |
| GR5263 | Stat Inf/Time Series Modelling |
| GR5265 | Stochastic Methods in Finance |
| GR5261 | Statistical Methods in Finance |
DATA SCIENCE SEQUENCE IN STATISTICS
| GR5206 | Stat Computing & Intro to Data Science (prerequisite for GR5241) |
| GR5241 | Statistical Machine Learning (prerequisite for GR5242) |
| GR5242 | Advanced Machine Learning |
*Note: The Data Science sequence includes GR5206 offered in the fall which is a prerequisite for GR5241 offered in the spring. Both courses are a prerequisite for the course, GR5242: Advanced Machine Learning.
PHARMACEUTICAL INDUSTRY OR PUBLIC HEALTH
| GR5232 | Generalized Linear Models |
| GR5222 | Non-Parametric Statistics |
| GR5231 | Survival Analysis |
ACTUARIAL SCIENCE AND THE INSURANCE INDUSTRY
| GR5231 | Survival Analysis |
| PS5823 | Actuarial Models |
| GR5207 | Elementary Stochastic Processes |
| Course | Course Title |
| PS5821 | Actuarial Methods I (Must have demonstrated interest in AS) |
| PS5822 | Actuarial Methods II |
| PS5823 | Actuarial Models |
| PS5830 | Models for Financial Economics (Formerly known as Stochastic Processes for Actuaries) |
| PS5846 | Quantitative Risk Management |
| Course | Course Title |
| PUBH P8108 | Survival Analysis (Prerequisites: PUBH P6103/4, STAT GR5203, GR5204 and GR5205) |
| PUBH P8116 | Design of Medical Experiments (Prerequisites: PUBH P6103/4, STAT GR5203, 5204 and 5205) |
| PUBH P8121 | Generalized Linear Models (Prerequisites: PUBH P6103/4, STAT GR5203, GR5204, and GR5205) |
| PUBH P8139 | Theoretical Genetic Modeling (Prerequisites: PUBH P6103/4) |
| PUBH P8140 | The randomized clinical trial I (Prerequisites: PUBH P6103/4) |
| PUBH P8142 | The randomized clinical trial II (Prerequisites: PUBH P6103/4, P8140) |
Important:
Biostat 6000 level courses are not approved for graduate credit in the MA Program in Statistics.
Instructions for cross-registration:
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Graduate students interested in taking Columbia Public Health courses must first complete the Cross-Registration Form.
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Obtain permission from the Public Health department(s) that offers the course(s) for which you are cross-registering. It is important to note that the process of obtaining permission to enroll in a course as a cross-registrant is approved first by the department then by the Office of Enrollment Management (OEM).
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Forward your completed Cross-Registration Form, as well as any other email correspondences used in lieu of signatures, to the Columbia Public Health OEM team(link sends e-mail). OEM will review and return approved forms to requesting students.
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If allowed to take a course, the email from OEM will include your completed and approved form(s). Complete the registration for the course through your school’s primary office for registration ([email protected]). Any change thereafter (dropping the course etc.) would also be made through GSAS.
| Course | Course Title |
| ACCT B8008 |
Earnings Quality & Fundamental Analysis |
| FINC B8306 | Capital Markets & Investments |
| FINC B8307 | Advanced Corporate Finance |
| FINC B8308 | Debt Markets |
| FINC B8318 | Investment Banking Tax Factors |
| FINC B8323 | Asset Management |
| FINC B8325 | Mergers & Acquisitions |
| FINC B8326 | Capital Markets Regulation |
| FINC B8333 | Real Estate Capital Markets |
| FINC B8347 | Financial Crises and Regulatory Responses |
| FINC B8348 | Emerging Financial Markets |
| FINC B8362 | Project Finance |
| FINC B8368 | Security Analysis |
| FINC B8384 | Equity Derivatives |
| FINC B8394 | Private Equity: the asset class, its investments & its markets |
| FINC B8396 | Institutional Investing: Alternative Assets in Pension Plans |
| FINC B8423 | Investor Influence on Corporate Sustainability |
| FINC B8424 | Competitive Advantage in Investing |
| BUEC B8250 | Global Economic Environment II |
Instructions for cross-registration:
Information about cross-registration can be found here. Questions? Email [email protected]