CertificateOnlinePart-Time

Columbia University in the City of New York

Intelligent Systems Certificate

New York, New York1.5 $31K 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 $31.0K in total tuition, the Intelligent Systems Certificate sits about 171% above the $11.4K average for AI certificate programs in our database β€” placing it in the 98th percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Est. Salary$120,000
Job Growth+23%
Top RoleMachine Learning Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$31K total
Format
Online
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Natural Language Processing (NLP), Machine Learning

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

About This Program

This graduate-level certificate program focuses on the development and analysis of intelligent systems through advanced computer science coursework. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 1.5 years.

Estimated total tuition is $31.0K, above the $11.4K average for AI certificate programs in our database and in the 98th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Develop machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Develop machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

  • 1. AI Systems Engineer
  • 2. Machine Learning Specialist
  • 3. Intelligent Systems Developer
  • 4. Human-AI Interaction Designer

What You'll Learn

  • Design and implement machine learning models for intelligent systems.
  • Apply human-centered design principles to AI interfaces.
  • Evaluate interpretability and explainability in AI decision-making.
  • Build adaptive and conversational agents for real-world applications.

Curriculum Highlights

The program requires 12 credits of graduate courses, including selections from AI, robotics, visual interfaces, and advanced software engineering.

Top Employers

Top employers include Google, Microsoft, Amazon, IBM, and AI research labs at tech firms.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python and background in linear algebra and calculus.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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