MasterOnlineFlexible

Purdue University

MS in Artificial Intelligence

West Lafayette, Indiana2 years$28K 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 $28K in total tuition, the MS in Artificial Intelligence sits roughly 34% below the $42.4K average for AI master's programs in our database β€” placing it in the 41st 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$120,000 Data Scientist
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOnline

Admission Snapshot

Degree Required
Master of Science (MS)
Duration
2 years
Est. Tuition
$28K total
Format
Online
Schedule
Flexible
GRE / GMAT
Required
Concentrations
AI Ethics/Policy, Machine Learning

Typical admitted student: Applicants typically need a bachelor's degree with a strong foundation in computer science, mathematics, or a related field, along with a competitive GPA (3.0+) and demonstrated programming experience. GRE scores are often required or recommended.

About This Program

A professional master's degree from Purdue's West Lafayette campus that provides foundational AI knowledge applicable to careers in engineering, business, and communication. Coursework concentrates on AI Ethics/Policy and Machine Learning. Most students complete it in about 2 years.

Estimated total tuition is $28K, below the $42.4K average for AI master's programs in our database and in the 41st percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $118,000.

Career Outcomes

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

  • 1. Machine Learning Engineer
  • 2. AI Research Scientist
  • 3. Data Scientist
  • 4. AI Systems Architect

What You'll Learn

  • Design, train, and optimize machine learning models for real-world applications
  • Implement advanced AI techniques including deep learning, neural networks, and natural language processing
  • Apply critical thinking to evaluate AI technologies, understand limitations, and make informed decisions about deployment
  • Develop competency in data representation, knowledge reasoning, and large-scale data analytics

Curriculum Highlights

The program includes core interdisciplinary courses, a capstone experience, and specialized tracks focusing on either technical development or AI management and policy.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, Tesla, IBM, and government research institutions like national laboratories and defense agencies.

Admissions

Applicants typically need a bachelor's degree with a strong foundation in computer science, mathematics, or a related field, along with a competitive GPA (3.0+) and demonstrated programming experience. GRE scores are often required or recommended.

Application Materials

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

Academic Requirements

  • Degree Required: Master of Science (MS)
  • GRE: Required or Recommended
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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