MS in AI

AI Management and Policy

The AI Management and Policy major, one of two specialized tracks in Purdue University’s 100% online Master of Science in Artificial Intelligence program, is designed for those who want to lead at the intersection of AI, governance, and policy. This major is perfect for professionals looking to influence the ethical use of AI and shape policies that will guide its development and implementation. No programming or coding background is required, just a passion for understanding the social, political, and business implications of AI. Graduates will be equipped for impactful careers in AI governance, policymaking, and management. Discover the career opportunities awaiting you and take the first step toward becoming a leader in responsible AI.

Have a question about the program or learning online at Purdue? Check out the FAQs for more information.

Ready to dive into the world of AI? 

Request Info Apply Now

artificial chat Chat with AI or Artificial Intelligence. Digital chatbot, robot application, OpenAI generate. Futuristic technology.

Career Outlook

Get your career started by working in one of the following roles:  IT Director, Business Analyst, Product Manager, Financial Analyst, Cybersecurity Analyst, IT Consultant, Business, Intelligence Analyst, Operations Research Analyst, Database Administrator and more! 
 
Purdue University’s rigorous online programs allow you to earn a prestigious Purdue degree anytime and from anywhere. These programs give you access to outstanding faculty and top-quality curriculum in a convenient, flexible format to move your career and the world forward.

Curriculum Overview 

Build In-Demand AI Skills Through Hands-On Learning 

  • Build professional skills in AI by completing hands-on projects with real-world applications  
  • Gain expertise in in-demand areas like data analytics, computer science, change management, project management and more. 
  • Prepare yourself for a career in technology or learn to incorporate AI skills into your current role. 

The AI Management and Policy major requires a total of 30 credit hours. A detailed breakdown of the curriculum can be found below.  If you are looking for more information on courses, please check out the Purdue University Course Catalog. Enter the course code into the search bar including the prefix and number to find the specific course in the catalog.   

Required Courses – 10 credits 

Required Major Courses – 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  

 

Required Major Courses – 2 credits 

  • GRAD 50400 – Advanced AI Fundamentals for Technical Professional (2 credits) 

Selective Major Courses – 6 credits 

Selective Major 1: Applications of AI in Business, Non-Profit, Public Sectors. Students will choose at least one course from the following: 

  • MGMT 52500 – Marketing Analytics (2 credits) 
  • MGMT 68300 – Technology-Driven Business (2 credits) 
  • POL 52601 – Technology, AI, and Ethics in Policy and Public Administration (3 credits) 
  • POL 52701 – Local to Global Governance of Data, AI, and Emerging Technology (3 credits) 

Selective Major 2: Data Management, Analysis, Communication. Students will choose at least one course from the following: 

  • ABE 65100 – Environmental Informatics (3 credits) 
  • CGT 57500 – Data Visualization Tools and Applications (3 credits) 
  • CNIT 51000 – Data Literacy (3 credits) 
  • CNIT 57000 BDA – IT Data Analytics (3 credits) 
  • CNIT 57500 – Data Analysis (3 credits) 
  • COM 65000 – Communication and Leadership (3 credits) 
  • EDPS 55600 – Introduction to Quantitative Data Analysis Methods in Education (3 credits) 
  • EDPS 55700 – Introduction to Quantitative Data Analysis Methods in Education II (3 credits) 
  • ILS 69500-Computational Text Analysis (3 credits) 
  • MGMT 58600 – Python Programming (Python for Analytics) (2 credits) 
  • MGMT 59000 – Directed Readings in Management (Big Data Analytics in the Cloud) (2 credits) 
  • MGMT 59000 – Directed Readings in Management (Database and SQL) (2 credits) 
  • MGMT 59000 – Directed Readings in Management (Visualization and Persuasion) (2 credits) 
  • MGMT 59000 – Directed Readings in Management (Web Data Analytics) (2 credits) 

Technical/Professional Electives  

Students choose a minimum of 9 credit hours from the Technical/Professional elective list. Students may also select courses from the Management and Policy Selective Topic 1 or 2 lists if not previously completed. 

  • ASM 54000 – Geographic Information System (GIS) Application (3 credits)  
  • CNIT 55200 PME – IT Project Management (3 credits)  
  • CNIT 58100 PRM – Risk Management (1 credit)  
  • CNIT 58500 PCM – Organizational and Change Management for IT Projects (3 credits)  
  • COM 60311 – Seminar in Crisis Communication (3 credits)  
  • ECE 56900 – Introduction to Robotic Systems (3 credits)  
  • ECE 59500 – Selected Topics in Electrical Engineering (Computer Vision for Embedded Systems) (1 credit)  
  • EDPS 53100 – Introduction to Measurement and Instrument Design (3 credits)  
  • ENGT 50700 – Fundamentals of Collaborative Leadership and Agile Strategy (3 credits)  
  • IT 57100 – Project Management in Business and Industry (3 credits)  
  • MA 59800 – Linear Algebra for Data Science (1 credit)  
  • ME 53900 – Introduction to Machine Learning (3 credits)  
  • MGMT 56800 – Supply Chain Analytics (2 credits)  
  • MGMT 69000 – Change Management (2 CR)  
  • OLS 57900 – Emerging World-Class Leadership Strategies (3 credits)  
  • OLS 58000 – Interpersonal & Group Skills for Leaders (3 credits)  
  • OLS 58100 – Leading Teams (3 credits)  
  • OLS 58200 – Leadership and Organizational Change (3 credits)  
  • SCLA 53000 Strategic Foresight and Leadership for Defense Leaders (3 credits)  
  • STAT 59800 – Topics in Statistical Methods (Probability and Statistics) (1 credit)  

Additional Electives   

  • Students may choose 3 credit hours if their PUO staff advisor approves or select a course from one of the above categories. 

Contact Us

Ready to Become a Boilermaker?

Are you ready to join the Purdue innovators and changemakers always striving to make giant leaps forward in our industries and fields? Start your application today!

You are not alone in taking your next giant leap. Get your questions answered, receive application help, or plan your degree journey by speaking with an enrollment counselor. Request more information today.