Courses
Start building your summer today by selecting from hundreds of Columbia courses from various topics of interest. Courses for Summer 2025 are now available, with new offerings being added throughout the winter into early spring.
Please note: listing your desired courses in your visiting application does not automatically register you for those courses, nor does it guarantee seat availability.
Key to Course Listings | Course Requirements
Course Options
Instructor
Young Kim
Modality
In-Person
Day/Time
Mo 16:30-18:05
Tu 16:30-18:05
We 16:30-18:05
Th 16:30-18:05
Enrollment
9 of 25
Wall Street Prep: Economics, Finance, and Analytics
Visiting students can take this course as part of a Focus Area.
The Wall Street Prep: Economics, Finance, and Analytics Focus Area is designed for students who want to gain a better understanding of finance, business, and the complexities of economic systems. Students enhance their academic experience through specialized co-curricular activities exclusive to the city and earn a Certification of Participation.
Prerequisites: STAT GU4204 or the equivalent, and a course in linear algebra. Theory and practice of regression analysis. Simple and multiple regression, testing, estimation, prediction, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
Instructor
Daniel Rabinowitz
Modality
In-Person
Day/Time
Mo 18:15-19:50
Tu 18:15-19:50
We 18:15-19:50
Th 18:15-19:50
Enrollment
5 of 25
Wall Street Prep: Economics, Finance, and Analytics
Visiting students can take this course as part of a Focus Area.
The Wall Street Prep: Economics, Finance, and Analytics Focus Area is designed for students who want to gain a better understanding of finance, business, and the complexities of economic systems. Students enhance their academic experience through specialized co-curricular activities exclusive to the city and earn a Certification of Participation.
Instructor
Rongning Wu
Modality
In-Person
Day/Time
Mo 18:15-19:50
Tu 18:15-19:50
We 18:15-19:50
Th 18:15-19:50
Enrollment
1 of 25
Wall Street Prep: Economics, Finance, and Analytics
Visiting students can take this course as part of a Focus Area.
The Wall Street Prep: Economics, Finance, and Analytics Focus Area is designed for students who want to gain a better understanding of finance, business, and the complexities of economic systems. Students enhance their academic experience through specialized co-curricular activities exclusive to the city and earn a Certification of Participation.
Instructor
Alex Pijyan
Modality
In-Person
Day/Time
Mo 18:15-19:50
Tu 18:15-19:50
We 18:15-19:50
Th 18:15-19:50
Enrollment
13 of 25
Wall Street Prep: Economics, Finance, and Analytics
Visiting students can take this course as part of a Focus Area.
The Wall Street Prep: Economics, Finance, and Analytics Focus Area is designed for students who want to gain a better understanding of finance, business, and the complexities of economic systems. Students enhance their academic experience through specialized co-curricular activities exclusive to the city and earn a Certification of Participation.
Instructor
Hammou El Barmi
Modality
In-Person
Day/Time
Tu 09:00-12:10
Th 09:00-12:10
Enrollment
13 of 25
Wall Street Prep: Economics, Finance, and Analytics
Visiting students can take this course as part of a Focus Area.
The Wall Street Prep: Economics, Finance, and Analytics Focus Area is designed for students who want to gain a better understanding of finance, business, and the complexities of economic systems. Students enhance their academic experience through specialized co-curricular activities exclusive to the city and earn a Certification of Participation.
Prerequisites: At least one semester of calculus. A calculus-based introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markovs inequality.
Instructor
Young Kim
Modality
In-Person
Day/Time
Mo 16:30-18:05
Tu 16:30-18:05
We 16:30-18:05
Th 16:30-18:05
Enrollment
0 of 15
Prerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
Instructor
Daniel Rabinowitz
Modality
In-Person
Day/Time
Mo 18:15-19:50
Tu 18:15-19:50
We 18:15-19:50
Th 18:15-19:50
Enrollment
3 of 15
Instructor
Rongning Wu
Modality
In-Person
Day/Time
Mo 18:15-19:50
Tu 18:15-19:50
We 18:15-19:50
Th 18:15-19:50
Enrollment
15 of 15
Instructor
Alex Pijyan
Modality
In-Person
Day/Time
Mo 18:15-19:50
Tu 18:15-19:50
We 18:15-19:50
Th 18:15-19:50
Enrollment
3 of 15
Instructor
Hammou El Barmi
Modality
In-Person
Day/Time
Tu 09:00-12:10
Th 09:00-12:10
Enrollment
15 of 15
This course is intended to provide a mechanism to MA students in Statistics who undertake on-campus project work or research. The course may be signed up with a faculty member from the Department of Statistics for academic credit. Students seeking to enroll in the course should identify an on-campus project and a congenial faculty member whose research is appealing to them, and who are able to serve as their mentor. Students should then submit an application to enroll in this course, which will be reviewed and approved by the Faculty Director of the MA in Statistics program.
Instructor
Demissie Alemayehu
Modality
On-Line Only
Enrollment
1 of 35
Instructor
Demissie Alemayehu
Modality
In-Person
Enrollment
8 of 35