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The following curriculum applies to MSAIE-IS students starting their INI program in the 2026-27 academic year (MS38 cohort).

Core Courses [105 units]

Artificial Intelligence CORE (48 UNITS):

• 14-763: Systems and Tool Chains for AI Engineering (12 units)

• 18-786: Introduction to Deep Learning (12 units)*
  OR
  24-788: Introduction to Deep Learning (12 units)
• 24-784: Trustworthy and Ethical AI Engineering (12 units)
• 12 units: Choose one:
  14-757: Introduction to Machine Learning with Adversaries in Mind
  18-661: Introduction to Machine Learning for Engineers
  24-787: Machine Learning and Artificial Intelligence for Engineers

*Limited Enrollment

Information Security Core (36 UNITS): 

• 14-741: Introduction to Information Security (12 units)
• 14-795: AI Applications in Information Security (12 units)
• 12 additional units of graduate-level security course(s). Please review the MSAIE-IS Additional Core Courses list for pre-approved graduate security courses.

BUSINESS AND MANAGEMENT CORE

• 14-789: AI in Business Modeling (6 units) 

NETWORKING CORE (12 UNITS):

• Choose one: 
  14-740: Fundamentals of Telecommunication Networks
  OR
  14-760: Advanced Real-World Data Networks (Spring)

ACADEMIC AND PROFESSIONAL DEVELOPMENT 1

• 14-601: INI Academic & Professional Development (3 units)

Program Electives [18 units]

Fulfilled by courses in INI, Electrical and Computer Engineering (ECE), School of Computer Science (SCS), Engineering & Public Policy (EPP), Entertainment Technology Center (ETC) or Integrated Innovation Institute (III), and/or approved courses in the Heinz College or Tepper School. Some exceptions apply.

Please note: If you chose the Advanced study option, you have additional requirements. Review the study option chart