## Graduate Programs

### Degree Programs

#### Intelligent Systems Engineering

##### Master of Science in Intelligent Systems Engineering

**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, cyber-physical 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.

**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

- ENGR-E 503 Introduction to Intelligent Systems
- MATH-M 511 Real Variables I
- MATH-M 512 Real Variables II
- MATH-M 513 Complex Variables I
- MATH-M 514 Complex Variables II
- MATH-M 540 Partial Differential Equations I
- MATH-M 541 Partial Differential Equations II
- MATH-M 544 Ordinary Differential Equations I
- MATH-M 545 Ordinary Differential Equations II
- MATH-M 571 Analysis of Numerical Methods I
- MATH-M 572 Analysis of Numerical Methods II
- MATH-M 671 Numerical Treatment of Differential and Integral Equations I
- MATH-M 672 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

- ENGR-E 516 Engineering Cloud Computing
- 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 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.

**Paradigms/Electives (8-17 credits)**

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

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.

**Coursework:**Students may choose to complete the 30 credit degree requirement with coursework**Internship:**May include 1-3 credit hours of ENGR-E 591 Graduate Internship. The number of credit hours approved for this requirement is dependent on time and length of internship**Thesis or Project:**May include a maximum of 6 credit hours of the following:- ENGR-E 687 Graduate Independent Studies in Intelligent Systems Engineering
- ENGR-E 788 Master's Thesis

**Transfer:**A maximum of 8 graduate level credits may be transferred from other 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).