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Wall Street Prep: Economics, Finance & Analytics

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. This Focus Area is an excellent match for students interested in completing courses in preparation for graduate studies in business, actuarial sciences, quantitative studies, public affairs, and economics. Dedicated advisors assist students in customizing their curriculum to meet their personal, professional, and academic goals.

Visiting students enroll in two courses that can be completed in either one or two six-week sessions. Those who complete two courses from those offered in the Wall Street Prep: Economics, Finance, and Analytics Focus Area will receive a Certification of Participation and a Columbia University transcript.

The Wall Street Prep: Economics, Finance, and Analytics Focus Area leverages Columbia’s theory-meets-practice model by pairing coursework with specialized, exclusive co-curriculars.

Co-curricular activities may include:

  • UN Tour
  • One World Observatory
  • Federal Reserve/Wall Street Tour
  • Empire State Building Tour

Visiting students study alongside matriculated students at Columbia University and have the same access to top faculty at Columbia’s School of Arts & Sciences academic departments. In Summer Session B, students can also take advantage of on-campus housing and join a Living and Learning Community. This holistic program provides students a one-of-a-kind learning experience, offering the chance to study in the only Ivy League university in New York City while connecting with a cohort of like-minded peers.

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Courses

Below is a sample of courses offered in Wall Street Prep: Economics, Finance & Analytics.

Economics

  • ECON1105S 001 Principles of Economics (Session X)
  • ECON1155UN 001 Principles of Economics – Discussion (Session X)
  • ECON2105UN 001 The American Economy (Session B)
  • ECON2261UN 001 Accounting & Finance for Economics (Session B)
  • ECON3025S 001 Financial Economics (Session A)
  • ECON3213S 001 Intermediate Macroeconomics (Session X)
  • ECON3214UN 001 Intermediate Macroeconomics – Discussion (Session X)
  • ECON3265UN 001 Money and Banking (Session A)
  • ECON3265UN 002 Money and Banking (Session B)
  • ECON3412S 001 Intro to Econometrics (Session X)
  • ECON3413UN 001 Intro to Econometrics – Discussion (Session X)
  • ECON4020UN 001 Economics of Uncertainty and Information (Session A)
  • ECON4400S 001 Labor Economics (Session A)
  • ECON4415S 001 Game Theory (Session B)
  • ECON4500S 001 International Trade (Session A)
  • ECON4913GU 001 Microeconomics Seminar (Session X)

History

  • HIST3116S 001 History of Capitalism (Session A)
  • HIST4327S 001 Consumer Culture in Modern Europe (Session A) 

Human Rights

  • HRTS4185S 001 Human Rights and Global Economic Justice (Session B)

International Affairs

  • INAF6820S 001 International Political Economy (Session A)

Management (Professional Studies)

  • SPMG5009K 001-D02 Financial Accounting (Session X)

Mathematics

  • MATH2010S 001 Linear Algebra (Session A)
  • MATH2010S 002 Linear Algebra (Session B)
  • MATH2015UN 001 Linear Algebra & Probability (Session B)
  • MATH2030UN 001 Ordinary Differential Equations (Session A)
  • MATH2100S 001 Intro to Math Modeling (Session A)
  • MATH2500S 001 Analysis & Optimization (Session B)
  • MATH4041S 001 Intro to Modern Algebra I (Session A)
  • MATH4061S 001 Intro to Modern Analysis I (Session A)

Quantitative Methods in the Social Sciences

  • QMSS5019S 001 Data Analysis with Python (Session A)
  • QMSS5067G 001 Natural Language Processing Social Sciences (Session B)
  • QMSS5075G 001 Artificial Intelligence (AI) & Social Sciences (Session A)

Statistics

  • STAT1101S D01 Introduction to Statistics (Session A)
  • STAT1101S 002 Introduction to Statistics (Session B)
  • STAT1201S 001 Calculus-Based Introduction to Statistics (Session A)
  • STAT1201S 002 Calculus-Based Introduction to Statistics (Session B)
  • STAT4001S 001 Introduction to Probability and Statistics (Session A)
  • STAT4203S 001 Probability (Session A)
  • STAT4204S 001 Statistical Inference (Session B)
  • STAT4205S 001 Linear Regression Models (Session A)
  • STAT4206S 001 Statistical Computing and Introduction to Data Science (Session A)
  • STAT4221S 001 Time Series Analysis (Session A)
  • STAT4241S 001 Statistical Machine Learning (Session A)
  • STAT4261S 001 Statistical Methods in Finance (Session A)
  • STAT5203W 001 Probability (Session A)
  • STAT5204W 001 Statistical Inference (Session B)
  • STAT5205S 001 Linear Regression Models (Session A)
  • STAT5206S 001 Statistical Computing and Intro to Data Science (Session A)
  • STAT5221S 001 Time Series Analysis (Session A)
  • STAT5241S 001 Statistical Machine Learning (Session B)
  • STAT5261S 001 Statistical Methods in Finance (Session A)

Visiting Student Admissions

Visit the Admissions page to review program requirements and deadlines or to start your application.

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