Columbia University Engineering Masters in Operations Research (MSOR) Supplementary Application Guide

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Columbia University Engineering Masters in Operations Research (MSOR) Supplementary Application Guide
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The Master of Science in Operations Research (MSOR) at Columbia University is a 30-credit, STEM-certified program designed to equip students with advanced analytical and quantitative skills for solving complex decision-making problems. The curriculum offers flexibility, allowing students to specialize in areas such as logistics, supply chain management, revenue management, financial engineering, risk management, entrepreneurship, and general management.

Core courses cover topics like mathematical programming, stochastic models, and simulation, providing a solid foundation in operations research methodologies. Graduates are prepared to tackle challenges across various industries, including industrial firms, financial institutions, healthcare organizations, transportation systems, energy sectors, and government agencies

Columbia University Masters in Operations Research (MSOR) Supplementary Application Questions' Format

  • Personal Statement
Columbia University Masters in Operations Research (MSOR) Supplementary Application Personal Statement Requirements
Columbia University Masters in Operations Research (MSOR) Supplementary Application Questions' Format
  • Video Interview
Columbia University Masters in Operations Research (MSOR) Supplementary Application Video Interview
Columbia University Masters in Operations Research (MSOR) Supplementary Application Video Interview

Columbia University Masters in Operations Research (MSOR) Supplementary Application Timeline / Deadline

  • Priority: January 15
  • Regular: February 15
  • Decision: Late March-April

What is the Program Looking for?

The program seeks candidates with a strong quantitative background, proficiency in mathematical modeling, and analytical problem-solving abilities. Ideal applicants demonstrate effective communication skills, the ability to work collaboratively in diverse teams, and a keen interest in applying operations research techniques to real-world challenges. Prior coursework in calculus, linear algebra, probability, and statistics is essential, while experience with programming languages and optimization software is advantageous.

How Myls Interview can Help?

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