Master of Science in Artificial Intelligence (AI)

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. (all bolded)

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 relevant work experience.

Other Requirements (if applicable):

English Proficiency testing is required for international applicants. It will be waived for applicants who have received a baccalaureate degree or graduate or professional degree, within the last 36 months at the time of recommendation for admission, from a school where English is the primary language of instruction in a country/location where English is the native language.

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.

More information on courses and faculty can be found at the program website.

AI and Machine Learning Major

Required Courses – 10 credits

• GRAD 50200 – Interdisciplinary AI Fundamentals: Bridging Knowledge (1 credits)
• 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 Technical/Professional Electives – 9 credits
• Students choose a minimum of 9 credit hours of elective courses.

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 credits)
• 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 50300 – AI Essentials: A Non-Technical Introduction (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

• Choose any from the Technical/Professional Electives List Additional Electives – 3 credits
• Any Graduate Level Course with PUO staff advisor approval

Comprehensive Hands-on Curriculum

The online Master of Science in Artificial Intelligence program covers a broad range of topics, including machine learning, data analysis, robotics, deep learning, and more. Students will work on real-world projects and collaborate with peers and professors to apply their knowledge to practical AI challenges.

Flexible Online Learning

With 100% online courses, students can study at their own pace from anywhere, whether balancing full-time work or other commitments.

Learn from Leading Experts

Purdue University’s world-class faculty bring cutting-edge research, real-world experience, and leadership in AI to the online classroom. Students will learn from pioneers in the field who are shaping the future of technology.

Latest in AI research: Improving life and wellness through innovation

Sooyeon Jeong, assistant professor of computer science, works in artificial intelligence to ensure that robots are more friendly helpers to humans and less inscrutable interlopers, more R2-D2 than HAL, more Baymax than Terminator. From designing robots that socialize with hospitalized children to virtual agents helping Latinas with breast cancer in the Greater Lafayette and Chicago areas, Jeong’s projects all seek to ensure robots are doing the most good possible.