Electrical and Computer Engineering- Master of Science
For information, contact:
Director of Graduate Programs
Department of Electrical and Computer Engineering
260 Garland Hall, 513-529-0740
ECEdept@MiamiOH.edu
http://MiamiOH.edu/cec/academics/departments/ece/academics/graduate-studies/index.html
Introduction
The Master of Science in Electrical and Computer Engineering is designed to graduate electrical and computer engineers who are well qualified in advanced electrical and computer engineering technologies. This unique professional education prepares students for future interdisciplinary engineering practice that requires engineers to master both electrical/computer engineering and another discipline of choice. The degree includes electrical/computer engineering and elective courses in other disciplines. Students will conduct a research project with an electrical/computer engineering professor.
Students select either the research (thesis) or course intensive (non-thesis) option. Requirements include courses in electrical/computer engineering, elective courses, and a research-based thesis (research option) or a research project (course intensive option). For the thesis and the research project, students work with a faculty adviser on a research problem.
Admission and Application Requirements
New students are generally admitted to begin in the fall semester. Entry into the program requires completion of a bachelor's degree in electrical or computer engineering, or a closely related field.
Prospective students will be ranked and considered for admission based on the following information:
- Requirements of the Graduate School, including: undergraduate transcripts, and TOEFL scores (if required)
- GRE scores (waived for Miami graduates)
- Three letters of recommendation
- The applicant's essay describing the purpose of his/her study.
Combined Bachelor/Master's Program
Undergraduate Miami University students may apply to participate in the combined bachelors/master’s program. This program allows you to pursue a master’s degree in an accelerated manner while completing your bachelor’s degree. It is a great opportunity to deepen your knowledge and research skills. Please contact the Department of Electrical and Computer Engineering for more information.
Program Requirements
The degree requires electrical and computer engineering courses, elective courses, and a thesis or research project. Students select one of the following two options:
Option 1- Research Option (Thesis)
The research option requires completion of a minimum of 32 credit hours of graduate study and any additional hours needed to satisfy prerequisites. The distribution of hours is summarized as follows:
| Code | Title | Credit Hours |
|---|---|---|
| Electrical and Computer Engineering courses | 12-18 | |
| Elective courses | 6-12 | |
| ECE 610 | Graduate Seminars | 2 |
| ECE 700 | Research for Master's Thesis | 6 |
| Total Credit Hours | 32 | |
Option 2 - Course Intensive Option (Non-Thesis)
The course intensive option requires the completion of a minimum of 34 credit hours and any additional hours needed to satisfy prerequisites. The distribution of hours is summarized as follows:
| Code | Title | Credit Hours |
|---|---|---|
| Electrical and Computer Engineering courses | 15-21 | |
| Elective courses | 9-15 | |
| ECE 704 | Non-Thesis Project | 3 |
| ECE 610 | Graduate Seminars | 1 |
| Total Credit Hours | 34 | |
Elective Courses
Students may enter the program with courses that cover some of the material in related disciplines; however, they must complete at least 6-9 credit hours of elective courses selected in consultation with their faculty adviser.
| Code | Title | Credit Hours |
|---|---|---|
| CPB/MME 612 | Engineering Analysis | 3 |
| CSE 532 | Machine Learning | 3 |
| CSE 543 | High Performance Computing & Parallel Programming 2 | 3 |
| CSE 556 | Bioinformatic Principles 2 | 3 |
| CSE 564 | Algorithms 2 | 3 |
| CSE 565 | Comparative Programming Languages | 3 |
| CSE 567 | Computer and Network Security 2 | 3 |
| CSE 573 | Automata, Formal Languages, and Computability 2 | 3 |
| CSE 584 | Algorithms II 2 | 3 |
| CSE 586 | Introduction to Artificial Intelligence 2 | 3 |
| CSE 588 | Image Processing & Computer Vision | 3 |
| CSE 609 | Programming for Engineers and Scientists | 3 |
| CSE 616 | Simulation of Physical Systems | 3 |
| CSE 617 | Advanced Networks | 3 |
| CSE 627 | Machine Learning | 3 |
| CSE 664 | Advanced Algorithms | 3 |
| CSE 667 | Cryptography | 3 |
| MME 595 | Introduction to Applied Nonlinear Dynamics 2 | 3 |
| MME 612 | Engineering Analysis | 3 |
| MTH 525 | Number Theory 2 | 3 |
| MTH 532 | Optimization 2 | 3 |
| MTH 537 | Game Theory and Related Topics 2 | 3 |
| MTH 538 | Theory and Applications of Graphs 2 | 3 |
| MTH 551 | Introduction to Complex Variables 2 | 4 |
| MTH 553 | Numerical Analysis 2 | 3 |
| MTH 591 | Introduction to Topology 2 | 3 |
| MTH 632 | Advanced Optimization | 3 |
| MTH 638 | Advanced Graph Theory | 3 |
| MTH 641 | Functions of a Real Variable | 4 |
| MTH 651 | Functions of a Complex Variable | 4 |
| PHY 541 | Optics and Laser Physics 2 | 4 |
| PHY 561 | Electromagnetic Theory 2 | 4 |
| PHY 571 | Advanced Electronics 2 | 3 |
| PHY 623 | Solid State Physics | 3 |
| PHY 671 | Electromagnetism | 4 |
| PHY 691 | Modern Quantum Physics | 4 |
| PHY 692 | Modern Quantum Physics | 4 |
| STA 527 | Introduction to Bayesian Statistics 2 | 3 |
| STA 562 | Inferential Statistics 2 | 3 |
| STA 563 | Regression Analysis 2 | 4 |
| STA 567 | Statistical Learning 2 | 3 |
| STA 583 | Analysis of Forecasting Systems 2 | 3 |
Electrical and Computer Engineering Courses
Students design a program of study in consultation with their faculty advisor. Courses are selected from the following:
| Code | Title | Credit Hours |
|---|---|---|
| ECE 511 | Sensors and Data Fusion with Robotics Applications | 3 |
| ECE 514 | Design and Modeling of Robotic Systems | 3 |
| ECE 525 | Digital Signal Processing 2 | 3 |
| ECE 526 | Biomedical Signal Analysis and Machine Learning 2 | 3 |
| ECE 527 | Radar Signal Processing 2 | 3 |
| ECE 529 | Digital Image Processing 2 | 3 |
| ECE 530 | Electromagnetics in Sireless Sensing and Communications 2 | 3 |
| ECE 536 | Control of Dynamic Systems 2 | 3 |
| ECE 553 | Communication Systems 2 | 3 |
| ECE 561 | Network Performance Analysis 2 | 3 |
| ECE 570 | Special Topics 2 | 3 |
| ECE 587 | Computer Aided Design Tools for Computer Engineering 2 | 3 |
| ECE 591 | Power Systems Engineering 2 | 3 |
| ECE 593 | Power Electronics 2 | 3 |
| ECE 597 | Electric Vehicle Technology | 3 |
| ECE 601 | State Variables for Engineers | 3 |
| ECE 625 | Advanced Digital Signal Processing | 3 |
| ECE 661 | Advanced Optical Network Architectures | 3 |
| ECE 670 | Advanced Topics in Electrical and Computer Engineering 1 | 1-3 |
- 1
Maximum 6
- 2
Students who have taken the 400-level of this course or its equivalent must substitute another course.
Graduate Seminar Course
| Code | Title | Credit Hours |
|---|---|---|
| ECE 610 | Graduate Seminars | 1-3 |
Thesis and Project Research Courses
| Code | Title | Credit Hours |
|---|---|---|
| ECE 704 | Non-Thesis Project | 0-12 |
| ECE 700 | Research for Master's Thesis | 0-9 |