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
Prerequisites: some high school algebra. Designed for students in fields that emphasize quantitative methods. This course satisfies the statistics requirements of all majors except statistics, economics, and engineering. Graphical and numerical summaries, probability, theory of sampling distributions, linear regression, confidence intervals, and hypothesis testing are taught as aids to quantitative reasoning and data analysis. Use of statistical software required. Illustrations are taken from a variety of fields. Data-collection/analysis project with emphasis on study designs is part of the coursework requirement.
Instructor
Ji Meng Loh
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
11 of 45
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: some high school algebra. Designed for students in fields that emphasize quantitative methods. This course satisfies the statistics requirements of all majors except statistics, economics, and engineering. Graphical and numerical summaries, probability, theory of sampling distributions, linear regression, confidence intervals, and hypothesis testing are taught as aids to quantitative reasoning and data analysis. Use of statistical software required. Illustrations are taken from a variety of fields. Data-collection/analysis project with emphasis on study designs is part of the coursework requirement.
Instructor
Anthony Donoghue
Modality
On-Line Only
Day/Time
Mo 10:45-12:20
Tu 10:45-12:20
We 10:45-12:20
Th 10:45-12:20
Enrollment
37 of 45
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
Jonas Mikhaeil
Modality
In-Person
Day/Time
Mo 10:45-12:20
Tu 10:45-12:20
We 10:45-12:20
Th 10:45-12:20
Enrollment
20 of 45
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
Fangyi Chen
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
29 of 45
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: the project mentors permission. This course provides a mechanism for students who undertake research with a faculty member from the Department of Statistics to receive academic credit. Students seeking research opportunities should be proactive and entrepreneurial: identify congenial faculty whose research is appealing, let them know of your interest and your background and skills.
Prerequisites: A good working knowledge of calculus, including derivatives, single and double, limits, sums and series. Life is a gamble and with some knowledge of probability / statistics is easier evaluate the risks and rewards involved. Probability theory allows us take a known underlying model and estimate how likely will we be able to see future events. Statistical Inference allows us to take data we have seen and estimate the missing parts of an unknown model. The first part of the course focus on the former and the second part the latter.
Instructor
Gabriel Young
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
16 of 45
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
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.
Instructor
Ashley Datta
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 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
Dobrin Marchev
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
2 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.
This course introduces the Bayesian paradigm for statistical inference. Topics covered include prior and posterior distributions: conjugate priors, informative and non-informative priors; one- and two-sample problems; models for normal data, models for binary data, Bayesian linear models; Bayesian computation: MCMC algorithms, the Gibbs sampler; hierarchical models; hypothesis testing, Bayes factors, model selection; use of statistical software.
Prerequisites: A course in the theory of statistical inference, such as STAT GU4204 a course in statistical modeling and data analysis, such as STAT GU4205.
Instructor
Benjamin Goodrich
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 25
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
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.