Purdue University
Online MS in Artificial Intelligence – AI & ML
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $28K in total tuition, the Online MS in Artificial Intelligence – AI & ML sits roughly 34% below the $42.4K average for AI master's programs in our database — 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.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, probability, and calculus.
About This Program
This interdisciplinary online major is designed for students with a technical background to master the creation and implementation of advanced machine learning models. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. 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.
Thrive 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 $150,000.
Career Outcomes
Thrive 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 Software Engineer
What You'll Learn
- Implement supervised and unsupervised machine learning models for real-world applications.
- Design and train deep neural networks for tasks like image recognition and natural language processing.
- Analyze and mine large datasets to extract actionable AI-driven insights.
- Evaluate ethical implications and societal impacts of AI systems.
Curriculum Highlights
The curriculum balances core AI ethics and policy with technical selectives in deep learning, data mining, and optimization for intelligent systems.
Top Employers
Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at companies like OpenAI and NVIDIA.
Admissions
A bachelor's degree in computer science, engineering, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, probability, and calculus.
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: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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