Columbia University in the City of New York

How this program compares

At an estimated $81K in total tuition, the MSc Operations Research – ML & AI sits about 91% above the $42.4K average for AI master's programs in our database — placing it in the 89th percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: A bachelor's degree in a quantitative field such as mathematics, engineering, computer science, or operations research is required, along with a minimum GPA of 3.0 and strong quantitative coursework. Relevant programming experience in Python or R and GRE quantitative scores are often preferred.

About This Program

This program within the Operations Research department emphasizes mathematical modeling and optimization techniques enhanced by machine learning and artificial intelligence. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $81K, above the $42.4K average for AI master's programs in our database and in the 89th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Advance as Data Analyst in Cross-Industry AI with deep learning expertise Graduates frequently move into roles such as Data Analyst, with reported salaries around $115,000.

Career Outcomes

Advance as Data Analyst in Cross-Industry AI with deep learning expertise

• 1. Operations Research Analyst
• 2. Data Scientist in Supply Chain
• 3. AI Optimization Specialist
• 4. Machine Learning Engineer in Logistics

What You'll Learn

• Advanced optimization methods for operations research problems
• Machine learning algorithms for predictive modeling and decision support
• Integration of AI techniques in stochastic systems and logistics
• Reinforcement learning for dynamic resource allocation

Curriculum Highlights

The curriculum includes foundational optimization and stochastic models, with a specialized concentration in machine learning and AI applications for operations.

Top Employers

Top employers include consulting firms like McKinsey and BCG, tech companies like Amazon and Google, financial institutions such as JPMorgan Chase, and government agencies like the Department of Defense.

Admissions

A bachelor's degree in a quantitative field such as mathematics, engineering, computer science, or operations research is required, along with a minimum GPA of 3.0 and strong quantitative coursework. Relevant programming experience in Python or R and GRE quantitative scores are often preferred.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)