Columbia University in the City of New York

How this program compares

Columbia University in the City of New York's MS in Computer Science - Machine Learning lists about $81K total tuition — about 89% above the $42.9K AI master's average (89th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, probability, and calculus.

About This Program

This specialized master's track allows students to broaden and deepen their understanding of machine learning and its diverse applications. Coursework concentrates on Computer Vision and AI Engineering / Applied AI. Most students complete it in about 2 years.

Implement supervised, unsupervised, and reinforcement learning models for real-world data problems.

Estimated total tuition is $81K, above the $42.9K 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.

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 Machine Learning Engineer, with reported salaries around $140,000.

Career Outcomes

Columbia University in the City of New York positions this master track for Machine Learning Engineer careers — typical offers cluster around $140,000. Its focus on Computer Vision 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 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. NLP Specialist

What You'll Learn

• Implement supervised, unsupervised, and reinforcement learning models for real-world data problems.
• Design and train deep neural networks for tasks like computer vision and natural language processing.
• Apply probabilistic methods and optimization techniques to machine learning algorithms.
• Evaluate and deploy scalable machine learning systems with ethical considerations.

Curriculum Highlights

The 30-credit curriculum features core computer science foundations and technical electives in bioinformatics, computer vision, and reinforcement learning.

Top Employers

Top employers include Google, Amazon, Meta, Microsoft, and leading AI research labs.

Admissions

Admission to Columbia University in the City of New York's MS in Computer Science - Machine Learning 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