Which Students Does Columbia's MSOR Prefer? A Detailed Program Analysis

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Columbia University's Master of Science in Operations Research is a top-10 global STEM program, covering eight focused tracks including logistics & supply chain, financial engineering, machine learning & AI, and more, designed to develop professionals capable of solving complex quantitative decision problems. Its flexible and highly applied curriculum lays a solid foundation for careers in industry, finance, healthcare, and technology, making it an ideal choice for many international students.

Based on real admission data, CheersYou(清柚教育) finds that Columbia MSOR favors applicants with strong quantitative backgrounds. Successful candidates typically come from majors such as mathematics, computer science, statistics, and finance, possess GPAs above 3.7, GRE scores over 320, and often hail from top overseas universities or domestic 985 institutions. For more application details and personalized planning advice, feel free to contact CheersYou(清柚教育) for professional guidance.

Columbia University’s Master of Science in Operations Research (MSOR) is housed within Columbia Engineering and ranks among the top 10 Operations Research programs globally.

 

Columbia MSOR is a 30-credit STEM program. Through specialized courses in logistics, supply chain management, revenue management, financial engineering, and more, students can concentrate on areas such as mathematical programming, stochastic models and simulation, risk management, entrepreneurship, and general management.

 

To this end, CheersYou(清柚教育) has compiled admission cases for the Columbia MSOR program for students' reference:

 

Undergraduate Major / GPA / GRE / Undergraduate Institution
·
Mathematics / 3.7+ / None / US Top 80
·
CS / 80+ / 330+ / Canadian Top 3
·
Physics / 3.8+ / 325+ / US Top 40
·
Applied Mathematics / 3.7+ / 320+ / US Top 50
·
Economics / 3.8+ / None / US Top 40
·
Actuarial Science / 3.8+ / 330+ / US Top 100
·
Data Science / 3.8+ / None / US Top 40
·
E-Commerce / 3.7+ / 325+ / TOEFL 105+ / Domestic 985
·
Finance / 88+ / 330+ / TOEFL 105+ / Domestic 985
·
Statistics / 3.9+ / 325+ / US Top 30

 

Program Introduction:

 

Operations Research is an applied science concerned with quantitative decision problems that typically involve the allocation and control of limited resources. Such problems arise, for example, in the operations of industrial companies, financial institutions, healthcare organizations, transportation systems, energy and resources, and government. Operations research analysts develop and use mathematical and statistical models to help solve decision problems. Like engineers, they are problem formulators and solvers. Their work requires building mathematical models of systems and analyzing and predicting the consequences of different modes of operation. The analysis may involve mathematical optimization techniques, probabilistic and statistical methods, experiments, and computer simulation.

 

Based on the above concepts, Columbia MSOR offers eight concentration tracks:

1. Analytics

2. Decision, Risk, and Analytics

3. Entrepreneurship and Innovation

4. Finance and Management

5. Healthcare Management

6. Logistics and Supply Chain Management

7. Machine Learning and Artificial Intelligence

8. Optimization

 

 

For more application details, feel free to scan the QR code below to learn more and consult with us~