Graduate

Ph.D. in Intelligent Systems Engineering

Engineering for the 21st century and beyond.

In our Ph.D. program , you will learn from the premier faculty in intelligent systems engineering. You will also work alongside them on imaginative research that advances this new field.

You can choose among six tracks for the Ph.D. in Intelligent Systems Engineering. We developed these tracks with input from industry leaders:

  • Bioengineering
  • Computer engineering
  • Cyber-physical systems
  • Environmental engineering
  • Molecular and nanoscale engineering
  • Neuroengineering

You may also specialize in Intelligent Systems.

A multidisciplinary approach that leverages IU’s strengths

Our Ph.D. program combines the strengths of the School of Informatics, Computing, and Engineering—one of the largest, broadest, and most accomplished schools of its kind—with those of Indiana University Bloomington. IU’s world-class supercomputing and cyberinfrastructure resources and its longstanding strengths in fields such as science, technology, business, and law add a valuable multidisciplinary aspect to your education.

Requirements

Required courses include two to three courses in applied mathematics and computing, two to three courses that build your breadth of knowledge in engineering and applied science, and four courses that will help you gain depth of knowledge in your chosen track. You will also need to pass a qualifying exam and complete a minor, a thesis proposal, and a dissertation defense.

Careers in research and academia

The Ph.D. program will prepare you to work as a postsecondary teacher or as a researcher in academia, government, or industry. Positions that are related to our program tracks—including computer and information research scientist, postsecondary engineering teacher, medical scientist, bioengineer, and environmental engineer—are all projected to have double-digit growth in the nation.