MasterOnlinePart-Time

Columbia University in the City of New York

Online MS in Computer Science - Machine Learning

New York, New York2 years$81K total tuition
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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.

Est. Salary$140,000
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
2 years
Est. Tuition
$81K total
Format
Online
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

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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