## Graduate Programs

### Degree Programs

#### Master of Science in Intelligent Systems

**MS DEGREE 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).

**Tracks**

Upon admission to the program, students must choose a track to study: bioengineering, computer engineering, cyberphysical systems, envioronmental 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.

**Curriculum**

Students are required to complete 30 credit hours of graduate level coursework for this degree. 15 credits must be ISE classes. Individual program choices will vary.

**ISE Compulsory Core (7 credits)**

- ENGR-E 500 Introduction to the Intelligent Systems Engineering Program

Select two courses from the following (one from track focus and the other from track of choice)

- ENGR-E 501 Introduction to Computer Engineering
- ENGR-E 502 Introduction to Cyber Physical Systems
- ENGR-E 503 Introduction to Intelligent Systems
- ENGR-E 504 Introduction to Bioengineering
- ENGR-E 505 Introduction to Nano-Engineering
- ENGR-E 506 Introduction to Neuro-Engineering
- ENGR-E 507 Introduction to Environmental Engineering Intelligent Systems

**Math Methods (6 credits)**

Select two courses from the following or contact the GSO for a Math Methods waiver

- MATH-M 511/M 512 Real Variables I/Real Variables II
- MATH-M 513/M 514 Complex Variables I/Complex Variables II
- MATH-M 540/M 541 Partial Differential Equations I/Partial Differential Equations II
- MATH-M 544/M 545 Ordinary Differential Equations I/Ordinary Differential Equations II
- MATH-M 571/M 572 Analysis of Numerical Methods I/Analysis of Numerical Methods II
- MATH-M 671/M 672 Numerical Treatment of Differential and Integral Equations I/

Numerical Treatment of Differential and Integral Equations II

**Computing Tools Requirement (1 - 3 credits) optional**

Select from the following or contact the GSO for a Computing Tools waiver

- INFO-I 590 Topics in Informatics (Topic: Basic Data Science On-Ramp)
- INFO-I 590 Topics in Informatics (Topic: Advanced Data Science On-Ramp)
- CSCI-B 649 Topics in Systems (Topic: Cloud Computing)
- CSCI-B 673 Advanced Scientific Computing

**Track Core (6 credits)**

This core is different for each track and will be satisfied from courses decided upon by the student and their faculty advisor within the student's specialization: computer engineering, cyber-physical systems, bioengineering, molecular and nanoscale-engineering, neuroengineering, environmental engineering, or a generic specialization in Intelligent Systems.

**Electives (8 - 10 credits)**

The remaining credit hours can be selected from additional ISE course offerings. In consultation with an ISE advisor, students may choose to pursue an independent study or relevant internship opportunity to complete their paradigm.

**Transfer**

A maximum of 8 graduate level credits may be transferred from othe universities and 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 minimum grade of "B" (3.0).