Columbia University in the City of New York
Online MS in Computer Science - Machine Learning
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $81K in total tuition, the Online MS in Computer Science - Machine Learning sits about 91% above the $42.4K average for AI master's programs in our database β placing it in the 89th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with strong programming skills and coursework in linear algebra, probability, and algorithms is required, along with a minimum GPA of 3.0.
About This Program
This online master's track offers comprehensive training in machine learning techniques and their diverse applications across various industries like finance and bioinformatics. 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.
Position as Machine Learning Engineer in Cross-Industry AI with neural networks expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $140,000.
Career Outcomes
Position as Machine Learning Engineer in Cross-Industry AI with neural networks expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. NLP Specialist
What You'll Learn
- Implement supervised and unsupervised machine learning models for real-world data problems.
- Design and train deep neural networks for tasks like image recognition and sequence modeling.
- Apply natural language processing techniques to text analysis and generation.
- Develop scalable AI algorithms and evaluate their performance using advanced metrics.
Curriculum Highlights
The 30-credit curriculum features core computer science requirements and a suite of specialized machine learning courses, including advanced topics in deep learning.
Top Employers
Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at major tech firms.
Admissions
A bachelor's degree in computer science, engineering, or a related field with strong programming skills and coursework in linear algebra, probability, and algorithms is required, along with a minimum GPA of 3.0.
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 80+ / IELTS 6.5+)
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