Columbia University in the City of New York

How this program compares

Columbia University in the City of New York's MSc Operations Research – ML & AI lists about $81K total tuition — about 89% above the $42.9K AI master's average (89th percentile in our data). It runs on a flexible schedule (on-campus).

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. Most students complete it in about 2 years.

Advanced optimization methods for operations research problems.

At roughly $81K total, Columbia University in the City of New York's MSc Operations Research – ML & AI sits above the $42.9K average among AI master's programs we track — the 89th percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 56 AI-related programs we track in New York, of which about 43% offer an online option. On price, it comes in higher than about 75% of the New York programs in our data, where typical tuition runs near $59.9K.

Graduates frequently move into roles such as Data Analyst, with reported salaries around $115,000.

Career Outcomes

Graduates of Columbia University in the City of New York's MSc Operations Research – ML & AI most often target Data Analyst roles, where reported compensation runs around $115,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Columbia University in the City of New York's MSc Operations Research – ML & AI generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions