Online Programs
Master of Science in Artificial Intelligence (AI)
Purdue University’s 100% online Master of Science in Artificial Intelligence (AI) offers two majors: AI and Machine Learning, which emphasizes technical skills, and AI Management and Policy, which focuses on AI strategy, ethics, governance, and organizational applications. The 30-credit graduate degree includes foundational AI coursework, electives, and a capstone project.
Master of Science in Artificial Intelligence (AI) Overview
Purdue University’s online Master’s in Artificial Intelligence combines foundational AI concepts with coursework tailored to your interests and career goals. Both majors include core study in AI fundamentals, ethics and policy, societal impacts, and a capstone project, along with electives that allow you to customize your plan of study.
The AI and Machine Learning major emphasizes technical topics such as machine learning, programming, data mining, and natural language processing. The AI Management and Policy major focuses on applying AI in organizations, including leadership, governance, ethics, communication, and data-informed decision-making. This interdisciplinary degree can help prepare you to build AI technologies or guide their responsible adoption across industries.
Save Time and Money with Purdue’s Graduate Certificate in Artificial Intelligence.
Purdue’s Foundation in Artificial Intelligence Graduate Certificate teaches core AI-related competencies in less time than a traditional master’s degree. By taking a handful of 100% online courses, you can add a valuable credential to your resume or plan of study and build foundational skills that will help you stay ahead of this revolutionary trend.
Credits earned through this graduate certificate program can be applied to the Master of Science in Artificial Intelligence. Please contact an enrollment counselor for specifics.
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AI and Machine Learning Major
Required Courses – 10 credits
- GRAD 50200 – Interdisciplinary AI Fundamentals: Bridging Knowledge (1 credit)
- SCLA 52200 – Artificial Intelligence Policy, Governance and Ethics (3 credits)
- SCLA 52100 – Societal Impacts of Artificial Intelligence (3 credits)
- GRAD 58900 – Master of Science in Artificial Intelligence Capstone (3 credits)
Required Major Courses – 2 credits
- GRAD 50400 – Advanced AI Fundamentals for Technical Professional (2 credits)
Selective Major Courses – 6 credits
- Selective Major Topic 1: Artificial Intelligence/ML
- Selective Major Topic 2: Data Mining
Electives – 9 credits
- Students complete nine credits from Technical/Professional electives, Management and Policy Selective Major Topics 1 or 2, or AI and Machine Learning courses not previously taken.
Additional Electives – 3 credits
- Any graduate level course with PUO staff advisor approval
AI Management and Policy Major
Required Courses – 10 credits
- GRAD 50200 – Interdisciplinary AI Fundamentals: Bridging Knowledge (1 credit)
- SCLA 52200 – Artificial Intelligence Policy, Governance and Ethics (3 credit)
- SCLA 52100 – Societal Impacts of Artificial Intelligence (3 credits)
- GRAD 58900 – Master of Science in Artificial Intelligence Capstone (3 credits)
Required Major Courses – 2 credits
- GRAD 50400 – Advanced AI Fundamentals for Technical Professional (2 credits)
Selective Major Courses – 6 credits
- Selective Major Topic 1: Applications of AI in Business, Non-Profit, Public Sectors
- Selective Major Topic 2: Data Management, Analysis, Communication
Electives – 9 credits
- Students complete nine credits from Technical/Professional electives, Management and Policy Selective Major Topics 1 or 2, or AI and Machine Learning courses not previously taken.
Additional Electives – 3 credits
- Any graduate level course with PUO staff advisor approval

The admissions process selects highly qualified applicants into the Master of Science in Artificial Intelligence program by considering each of the following criteria in judging the overall strength of the applicant.
Typically, no single criterion is used as a sole determinant for admission. This program does not require an application fee, so you can apply for free.
General Requirements:
- A bachelor’s degree from an accredited institution
- Cumulative GPA of 3.0 or equivalent
An applicant’s prior education must include the following prerequisites:
For the major in AI and Machine Learning:
- Prior programming experience and coursework (in Python, Data Science and/or Computer Science)
- Prior coursework in algorithms, calculus, linear algebra and probability theory.
For the major in AI Management and Policy:
- At least 24 months of work experience.
Other Requirements (if applicable):
The GRE or GMAT exam is not required for admission. Applicants who have taken the GRE or GMAT exam may upload their scores into the online application system for consideration.
Source: LightcastTM (2025). Unique job postings for July 2024-25. Projected growth for years 2019-2029.

Top Job Titles
Artificial intelligence supports careers that combine technical expertise, problem-solving, and innovation. Depending on their experience, skills, and career goals, graduates may pursue roles such as:
- Software Engineer — Develop software applications and integrate AI capabilities into technology solutions.
- Data Scientist — Analyze data to identify patterns, generate insights, and support data-informed decisions.
- Machine Learning Engineer — Develop and implement machine learning models and systems.
- Product Manager — Guide AI-related products and projects to align with organizational goals and user needs.
- Business Analyst — Evaluate business needs and translate data insights into recommendations for AI-driven initiatives.
Top Industries
Artificial intelligence is used across industries to improve operations, support decision-making, and develop new products and services. Relevant industries include:
- Technology — Develop AI systems, software, and digital products.
- Government — Explore AI applications in public services, policy, and operational efficiency.
- Finance — Apply AI to data analysis, risk assessment, and business processes.
- Automotive — Use AI in vehicle technologies, automation, and advanced product development.
- Retail — Apply AI to customer experiences, forecasting, and operational planning.

Educator and mom hopes to influence technology ethics in Purdue’s online Master of Science in Artificial Intelligence program
Tamara Grant’s journey to becoming a student in Purdue’s online Master of Science in Artificial Intelligence (AI) program started at a Walmart in Altamonte Springs, Florida, where she worked second shift as a cashier, saving money and practicing her English so she could go back to school.
A hard worker with a passion for justice, Grant knows what it means to take on a challenge. She’s overcome many of them in her life. Through Purdue’s innovative master’s in AI program, she hopes she can help others tackle the challenges of emergent technology with grace, empathy and a critical eye.
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