MS in Electrical and Computer Engineering (MSECE)
Department of Electrical Engineering & Computer Science
Wichita State University Degree Requirements

 

!!NEW!!: The Accelerated/Combined BS to MS in Electrical and Computer Engineering (MSECE) Program accpets applications Now! 

  • The Accelerated/Combined bachelor’s to master’s degree offers offers outstanding undergrad students in Electrical Engineering or Computer Engineering the opportunity to  pursue both the bachelor’s and master’s in a unison and in an accelerated time frame.
  •  Admission Requirements. To be considered for admission to the Accelerated/Combined MSECE program,  a student must have successfully  completed at least completion of 90 hours with accumulative GPA 3.0 or higher (or equivalent score from another country) in the bachelor’s degree. Students whose bachelor’s degree is from an institution outside the U.S. are required to submit official scores of the GRE General Test along with the admission application.  For complete requirements, including the eligible undergraduate programs and majors, please consult the Graduate Catalog and/or EECS department’s website.
  •  Degree/Program Requirements are the same as the regular MSECE porgram.  Up to 9 Tech Elective credit hours numbered above 700 can be used for both BS and MSECE programs.    

 

 

 

The Master of Science in Electrical and Computer Engineering is a flexible degree program for students who seek an advanced professional career in this field. It also gives critical knowledge to pursue a PhD in Electrical Engineering. Students of the program have the opportunity to build a strong foundation in physical science and mathematics, while exploring key sub-disciplines in Communication & Signal Processing, Computing Systems, Control Systems & Robotics, and Power & Energy Systems, to achieve a thorough command of their chosen sub-disciplines. The program's curriculum and the department's state-of-the-art laboratories prepare students to develop creative solutions to real-world engineering problems in a global economy. Students of this program are actively sought after by local companies through the university's Cooperative Education opportunity. This provides students with invaluable job experience, financial assistance, and contacts for potential full-time jobs after graduation.

ADMISSION REQUIREMENTS
The program admits students with a bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. Students from other areas with at least one year of university-level engineering mathematics may be admitted with an extra requirement to complete some undergraduate background deficiency courses prescribed at the time of admission.

To be considered for admission to the program, a student must have earned a cumulative GPA of at least 3.0 (or an equivalent score from another country). Students whose bachelor's degree is from an institution outside USA are required to submit official scores of the GRE General Test along with the admission application.

The process of applying to the program and other eligibility criteria, such as TOEFL/IELTS requirement for international students, are the same as already established by the Graduate School of the Wichita State University.


DEGREE REQUIREMENTS AND OTHER INFORMATION

Each MSECE student chooses a major specialization area. Current major areas in the department are Communication & Signal Processing, Computing Systems, Control Systems & Robotics, and Power & Energy Systems. Some courses in major areas have a research writing and presentation component, while others do not.

Students are highly recommended to consult with their advisors and/or the graduate coordinator prior to registering in an elective course outside the EECS department, if that course does not listed in the MSECE website.

Major Specialization Areas:

Area1: Communication & Signal Processing

Communication & Signal Processing Courses with Research Writing and Presentation Component:

  • EE 782 - Digital Signal Processing (3)
  • EE 824 - Cooperative Communication Systems (3)
  • EE 826 - Digital Communication Systems - II (3)
  • EE 836 - 5G Wireless Communications (3)
  • EE 856 - Information Theory (3)
  • EE 886 - Error Control Coding (3)
  • EE 986 - Wireless Spread-Spectrum Communication (3)

Other Communication & Signal Processing Courses:

  • EE 577AM Real-time Signal Processing Applications
  • EE 577D Antennas for Wireless Communications (3)
  • EE586 Introduction to Communication Systems (4)
  • EE 726 - Digital Communication Systems - I (3)
  • EE 754 - Probabilistic Methods in Systems (3)
  • EE 864 – Multi service over IP(4)
  • EE 877-S Introduction to Detection and Estimation Theory (3)
  • EE 877AA Information Theoretic Security (3)


Area 2: Computing Systems

Computing Systems Courses with Research Writing and Presentation Component:

  • EE 610 - Introduction to Quantum Computing (3)
  • CS 697AM - High Performance Computing Systems (3)
  • CS 697AN - Hardware-Based Computer Security (3)
  • CS 738 - Embedded Systems Programming (3)
  • CS 794 - Multicore Architectures Programming (3)
  • CS 898AI - Alternative Computing Paradigms (3)
  • EE 877E Advanced Quantum Computing (3)

Other Computing Systems Courses:

  • CS 697AB- Machine Learning(3)
  • CS 721 - Advanced Algorithms and Analysis (3)
  • CS 771 - Artificial Intelligence (3)
  • CS 836 - Computer Performance Analysis (3)
  • EE 691 Integrated Electronics (3)
  • EE 754 - Probabilistic Methods in Systems (3)
  • EE 856 - Information Theory (3)
  • EE 877AA Information Theoretic Security (3)
  • IME 877 - Foundations of Neural Networks (3)
  • MATH 751 - Numerical Linear Algebra (3)
  • PHYS 641 - Thermophysics (3)
  • PHYS 651 - Quantum Mechanics - I (3)
  • PHYS 652 - Quantum Mechanics - II (3)
  • PHYS 661 - Introduction to Atomic Physics (3)
  • PHYS 811 - Quantum Mechanics (3)
  • PHYS 871 - Statistical Mechanics (3)


Area 3: Control Systems & Robotics:

Control Systems & Robotics Courses with Research Writing and Presentation Component:

  • EE 832 - Discrete Event Systems I (3)
  • EE 833 - Stochastic Discrete Event Systems (3)
  • EE 885 - Robust Control Systems (3)
  • EE 877K - Stochastic Controls (3)
  • EE 877N - Cooperative Control (3)
  • EE 877T - Introduction to Smart Material Sensors and Actuators (3)
  • EE 893 - Optimal Control (3)
  • EE877C - Large-scale Systems (3)

Other Controls Systems & Robotics Courses:

  • AE 759 - Neural Networks for System Modeling and Control (3)
  • CS 697AG: Intro to Intelligent Robotics (3)
  • CS 898AW: AI for robotics (3)
  • EE 684 - Introduction to Control System Concepts (3) (This course is eqivalent to ME 659, students can not take both courses)
  • EE 732 Discrete Event System I (3)
  • EE 784 - Digital Control Systems (3)
  • EE 792 - Linear Systems (3)
  • EE 877-S Introduction to Detection and Estimation Theory (3)
  • ME 737 - Robotics and Control (3)
  • ME 758 - Nonlinear Controls of Electro-Mechanical Systems (3)
  • ME 847 - Applied Automation and Control Systems (3)


Area4: Power & Energy Systems:

Power & Energy Systems Courses with Research Writing and Presentation Component:

  • EE 877B - Smart Grids Applications (3)
  • EE 877I - Power Systems Protection (3)
  • EE 877L - Power Systems Dynamics (3)
  • EE777K- Power System Protection - I
  • EE 877O - Power Systems Reliability (3)
  • EE 877P - Power System Economy and Markets (3)
  • EE 897 - Operation and Control of Power Systems (3)
  • EE 898 - Electrical Power Quality (3)
  • EE877C - Large-scale Systems (3)

Other Power & Energy Systems Courses:

  • EE 577B Introduction to Smart Grid
  • EE 577E COMPUTATIONAL METHODS FOR POWER SYSTEMS
  • EE 588 Advanced Electron Motors (3)
  • EE 598 - Electric Power System Analysis I (3)
  • EE 688 - Power Electronics (4)
  • EE 697 - Electric Power System Analysis II (3)
  • EE 796 - Electric Power Distribution (3)

Other EECS Graduate Level Courses: 

  • CS 736 - Data Communication Networks (3)
  • CS 737 - Wireless Networking (3)
  • CS 764 - Routing and Switching - I (4)
  • CS 765 - Routing and Switching - II (4)
  • CS 731 - Mathematical Foundations of Computer Networking (3)
  • CS 834 Advanced Routing and Switching (3)
  • CS 835 - Ad Hoc and Sensor Networks (3)
  • CS 836 - Computer Performance Analysis (3)
  • CS 889AM-Cyberphysical System Security (3)
  • CS898AF cognitive radio networks (3)

Electives (Courses Outside EECS Department):

 MSECE students may take elective courses, i.e. graduate-level courses other than those already listed in the MSECE major areas and other graduate level courses in EECS department. Any elective transferred from another institution should be a graduate-level course at that institution. Electives from outside EECS taken by thesis or project students need to be approved by their faculty advisors, and those taken by coursework students should have significant engineering, physical science, or mathematical concepts, as determined by the graduate coordinator. Some examples of acceptable electives from outside EECS are:

  • AE 607 Flight Control Systems (Only one course can be counted in the following courses: AE 607, EE 684, ME 659)
  • AE 707 - Modern Flight Control Systems Design I (3)
  • CS 898D- Data mining (3)
  • EE777- Research tool I (1)
  • IME 724 - Statistical Methods for Engineers (3)
  • IME 731 - Foundations of Optimization (3)
  • IME 754 - Reliability and Maintainability Engineering (3)
  • IME 755 - Design of Experiments (3)
  • IME 864 - Risk Analysis (3)
  • MATH 511 - Linear Algebra (3)
  • MATH 547 - Advanced Calculus I (3)
  • MATH 551 - Numerical Methods (3)
  • MATH 553 - Mathematical Models (3)
  • MATH 615 - Elementary Number Theory (3)
  • MATH 640 - Advanced Calculus II (3)
  • MATH 657 - Optimization Theory (3)
  • MATH 758 - Complex and Vector Analysis for Engineers (3)
  • PHYS 616 - Computational Physics Laboratory (2)
  • PHYS 730 - Principles of Computer Modeling (2)
  • STAT 701 - Matrix Theory (3)

Graduating Options:

Three options to complete the MSECE degree:

Thesis Option (30 credit hours), including:

  • At least 9 credit hours of courses from a major area, of which at least 3 credit hours must be numbered at 800 - level, or higher
  • EE 876 - MS Thesis (6)

Project Option (33 credit hours), including

  • At least 9 credit hours of courses from a major area, of which at least 6 credit hours must be numbered at 800-level, or higher
  • EE 878 - MS Project (3)


Coursework Option (36 credit hours of courses), including

  • At least 12 credit hours of courses from a major area
  • At least 9 credit hours must be 800-level or higher, of which at least 6 credit hours must be in the major area
  • At least 3 credit hours must be course with a research writing and presentation component
  • At least 27 credit hours of courses from all the MSECE major and/or other EECS  graduate level courses

Plan-of-Study:

Soon after completing all background deficiency courses, if any, and before completing 12 credit hours of MSECE degree courses, students file a plan-of-study, in which they state their choice of graduating option, major and minor areas, and courses. At least 60% of all credit hours on this plan that are from WSU need to be from courses numbered 700 or higher.

You are welcome to discuss the courses that you would like to include on your Plan of Study with the Graduate Coordinator (Dr. Yanwu Ding) during office hours.

How to file your Plan of Study:

Thesis and Project students:

  1. fillout the supporting document and proceed to next step
  2. Download the Thesis / Project worksheet. There are TWO tabs in the file, one for Project and one for Thesis use the tab that is correct for the graduation option you have choosen. Fill in the required information on the worksheet (this must be done before it is printed for the calculations to be done). Note that the course number for Thesis and Project are already inputed.
  3. Please do not make any changes in the worksheet.
  4. Please use correct course information and areas listed in the websit
    • Include all courses that you take for your major in the section of ‘your major area'
    • Include all other courses that are not major, but your supervisor approves you take those courses, in the section of ‘Courses your supervisor approves'.
  5. ‘Independent Study' cannot be listed in your major area, it should be listed in the ‘Courses your supervisor approves' in the worksheet.
  6. If there are no warnings on the worksheet, fill out the standard Plan of Study form using the same courses with the same order on the worksheet.
  7. Your Thesis / Project adviser needs to sign the Plan of Study under your signature.
  8. Email the gradguate coordinator for an appointment to sign the form.

Coursework only students:

  1. fillout the supporting document and proceed to next step
  2. Download the Coursework option worksheet. Fill in the required information on the worksheet.
  3. Please do not make any changes to the worksheet.
  4. Please use correct course information and areas listed in the website.
    • Include all courses that you take for your major area in the section of ‘your major area'
    • Include all courses that you take in the EECS department other than your major area  in the section of ‘Other EECS Courses'.
    • Include all courses that you take from the electives (the elective courses are listed in the website) in the section of ‘Electives'. 
  5. ‘Independent Study' cannot be listed in your major area, it should be listed in the ‘Other EECS Courses' in the worksheet.
  6. If there are no warnings in the worksheet, fill out the standard Plan of Study form using the same courses with the same order on the worksheet.
  7. Email the gradguate coordinator for an appointment to sign the form.

Plan of Study Revisions:

To file Plan of Study Revisions, students need to re-submit the worksheet containing the updated courses for POS (the courses dropped should not be included).

  • Fillout the supporting document and proceed to next step
  • On the standard Plan of Study form, place a "D" next to the courses that you wish to drop, and an "A" next to the courses that you wish to add.
  • Fill in the worksheet with correct courses.
  • For Thesis / Project students, have your advisers sign the Plan of Study form.
  • Email the gradguate coordinator for an appointment to sign the form.

Form to sign: (Reduced Course Load, I-20 extension, exception forms, ect.)

  • Fillout the supporting document and proceed to next step
  • Fill out the form. Please be sure to include your name, mywsu ID, and any information that is neccessary in the form.
  • For Thesis/Project  students, please have your project or thesis adviser sign the form.
  • Email the gradguate coordinator for an appointment to sign the form.