Jun 02, 2026  
2026-2027 Graduate Catalog 
    
2026-2027 Graduate Catalog

Accelerated Masters: Intelligent Systems MS


(30 credits)

The accelerated 4+1 pathway allows qualified ISU undergraduates to begin MSIS coursework in their senior year and complete the master’s with one additional year of study.

The MSIS program equips professionals to integrate data-driven design, and artificial intelligence across applied engineering and technology domains.

Students build fluency in ethical, human-centered AI and information curation through two AI+ courses, develop analytical and managerial capability in a project-management and research cluster, and customize their plan of study with stackable graduate certificates or advisor-approved elective clusters (e.g., robotics, mechatronics, automotive systems, packaging, or machine learning). The degree culminates in an applied project or seminar that demonstrates mastery of intelligent systems principles.

The program can be delivered fully online for working professionals, supporting lifelong learning, rapid reskilling, and credential modularity. This pathway emphasizes the integration of teaching and applied research in an engaging, supportive environment, blending theoretical foundations with practical application. Students work with an advisor to craft an individualized plan aligned to prior coursework, experience, and goals, positioning them for leadership roles in industry and, if desired, for doctoral study (e.g., Ph.D. in Technology Management).

Project Management, Research and Analytics Cluster (6 credits):


Purpose: Build analytical and managerial competencies for intelligent systems design, integration, and implementation.

Certificates and Electives (12-15 Credits)


Students complete remaining credits through one or more of the following pathways:

  • Graduate certificates (6–9 credits each) in applied technologies or engineering disciplines
  • Advisor-approved elective clusters in applied technologies, engineering management, or information systems
  • Up to 9 credits of approved graduate transfer coursework

Purpose: Enables individualized, career-aligned specialization (e.g., Automotive Systems, Robotics, Packaging, Mechanical Engineering, Machine Learning, etc.)

Culminating Experience (3-6 credits)


Purpose: Culminating applied research, integration, or design experience demonstrating mastery of intelligent systems principles.

Notes:


A comprehensive examination may be required in each of these options.

A thesis course (e.g., ET 699) may be used to substitute for a culminating experience.