Ph.D. in Intelligent Systems Engineering

Advance the evolution of engineering

Intelligent systems are revolutionizing engineering. In our Ph.D. in Intelligent Systems Engineering (ISE) program, you will learn to use artificial intelligence, embedded computing components, and sophisticated data interpretation in preparation for a career in industry, government research labs, or academia.

Our future-focused program emphasizes:

  • Hands-on designing, building, and simulating of systems
  • Smaller-scale, often mobile, often personal/consumer technologies and devices
  • Modern information technology approaches including big data, computational modeling, and user interface design
  • Use of the vast technological resources at Indiana University, a top research university

The premier faculty in ISE

You will learn from and conduct research with faculty members who are leading experts in areas such as:

  • Embedded systems
  • The internet of things
  • Cloud computing
  • Developmental and computational toxicology
  • Medical imaging and brain mapping
  • Fiber devices
  • Machine learning
  • Cancer modeling

Choose a track

Select one of the following six tracks, or choose a general major of intelligent systems.

Complete a minor

Broaden your education with a minor from the School of Informatics, Computing, and Engineering or another IU Bloomington school. Other options include an internal minor of ISE credits (it must be different from your track) or an individualized interdisciplinary minor.

Learn about Ph.D. minors offered by SICE. To learn about minors outside SICE, visit the websites of IU Bloomington’s other colleges and schools.

We offer five Ph.D. minors in ISE: bioengineering, computer engineering, cyber-physical systems, molecular and nanoscale engineering, and neuroengineering.

International students

Many students and faculty in ISE and throughout Indiana University come from other countries. The university, our department, and the School of Informatics, Computing, and Engineering offer many types of support for you and a global community that we hope you will join.


Before you have a faculty advisor and form your Advisory Committee, you can get guidance and assistance from the Intelligent Systems Engineering Graduate Studies Office ( Later you can contact your faculty advisor, Advisory Committee, or Research Committee. We also recommend regularly consulting the timeline in the Ph.D. student handbook.