Purdue University

How this program compares

Purdue University's MS in Artificial Intelligence lists about $28K total tuition — roughly 35% below the $42.9K AI master's average (39th 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: 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.

Design, train, and optimize machine learning models for real-world applications.

At roughly $28K total, Purdue University's MS in Artificial Intelligence sits below the $42.9K average among AI master's programs we track — the 39th percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 20 AI-related programs we track in Indiana, of which about 75% offer an online option. On price, it comes in cheaper than about 55% of the Indiana programs in our data, where typical tuition runs near $31.8K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $118,000.

Career Outcomes

Graduates of Purdue University's MS in Artificial Intelligence most often target Machine Learning Engineer roles, where reported compensation runs around $118,000. Its focus on AI Ethics/Policy and Machine Learning 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. 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

Admission to Purdue University's MS in Artificial Intelligence generally expects a master of science (ms). Plan for the GRE, which this program lists as required or recommended. 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: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions