M.S. in Intelligent Systems Engineering Requirements

The Master of Science in Intelligent Systems Engineering requires a total of 30 credits and a 3.0 GPA upon completion. Students must take 15 credits of graduate level ISE courses (including any joint listed with other university programs).

Pre-requisites: Students in this program need to have a solid foundation in STEM coursework; specifically, they should have experience in the following:

  • C, Java and Python;
  • R and MATLAB;
  • andCalculus I & II and Probability Theory.

I. Core Courses (7 credit hours)

Compulsory Course (1 credit hour)
ENGR-E500 Introduction to Intelligent Systems Engineering

Track Introduction (6 credit hours)

Select two—one of these two courses must be the introduction to the student’s chosen track and the other one can be chosen freely:

E501 Introduction to Computer Engineering
E502 Introduction to Cyberphysical Systems
E503 Introduction to Intelligent Systems
E504 Introduction to Bioengineering
E505 Introduction to Nanoengineering
E506 Introduction to Neuroengineering
E507 Introduction to Environmental Engineering

II. Math Methods (up to 6 credits)

Select two—or contact the GSO for a Math Methods Waiver:

MATH M511/M512 Real Variable I & II
MATH M513/M514 Complex Variables I & II
MATH M540/M541 PDEs I & II
MATH M544/M545 ODEs I & II
MATH M571/M572 Numerical Methods I & II
MATH M671/M672 Numerical Differential and Integral Equations I & II

III. Computing Tools (up to 3 credits)

Select up to three 1 credit hour courses—or contact the GSO for a Computing Tools Waiver:

INFO D590 Data Science Onramp
CSCI B573 Scientific Computing
CSCI B673 Advanced Scientific Computing
CSCI B649 Cloud Computing for Data Intensive Sciences

IV. Track Core (6 or more credits)

Students are required to take two courses from their area of study as approved by their advisor.

V. Engineering Electives (remaining credits)

The remaining credits needed to meet the 30-credit degree total may be taken from the ISE electives.

Tracks: Upon admission to the program, students must choose a track to study: bioengineering, computer engineering, cyberphysical systems, environmental engineering, intelligent systems, nanoscale and molecular engineering, or neuroengineering.

Paradigms: Upon admission to the program, students must choose a paradigm for their studies: coursework, internship, project, and/or research.

Transfer of credit: A maximum of 8 graduate level credits from other universities and can be used to satisfy the 30 credit requirement with the permission of the advisor. These courses may not have been used to meet the requirements for another degree, and must have been completed with a grade of "B" (3.0) or better.