M.S. Electrical Engineering

1. A bachelor’s degree from an accredited university or college, with an overall GPA of at least 2.75.

2. A minimum GPA of 2.7 in the last 60 semester units (or 90 quarter units) of undergraduate coursework.

3. All applicants, regardless of citizenship, whose preparatory education was principally in a language other than English, are required to pass an English Proficiency exam.

Regardless of an undergraduate degree, ALL students must fulfill with a 3.0 GPA or higher, the undergraduate prerequisite courses in Mathematics, Physics and Electrical Engineering outlined below.

** The ECE Graduate Coordinator will determine which course(s) will be required.

1. Fulfill University requirements for classified status.
2. Complete prerequisite courses with 3.0 GPA or higher.
3. Submit a tentative program of graduate study approved by the ECE graduate coordinator.
4. Minimum grade in any course taken must be "C" or better while maintaining an overall GPA of 3.0 or higher.

For further questions and/or academic advisement, please email the ECE department office at ece@csun.edu to schedule an appointment with the ECE graduate coordinator.

For the Degree:

1. Completion of 30 units under either the Thesis Plan or the Project Plan. Note:  Students may not take a course (counting toward an MSEE degree) which is the same or equivalent to a course taken toward ones undergraduate program.
2. Formal approval of granting the degree by the Engineering Faculty.

Thesis Plan:

1. 24 units of course work applicable to the M.S. degree, of which at least 15 units must be 500/600-level ECE courses.
2. 6 units of ECE 698(Thesis) and a successful oral defense of the thesis before the thesis committee.

Project Plan:

1. 27 units of coursework applicable to the M.S. degree, of which at least 18 units must be 500/600-level ECE courses.
2. 3 units of ECE 698 (Graduate Project) culminating in a comprehensive report.

Graduate Program:

The 30 units of coursework in the graduate program must form a cohesive plan of graduate study that consists of suggested and elective courses from one of the seven options currently offered in the ECE department. The 30 units may include one graded unit of ECE 699A (Internship) as an elective course. Any additional enrollment in ECE 699A can only be taken on a Credit/No Credit (CR/NC) basis and will not be included in the 30 units required for the degree.

Application forms can be accessed through Cal State Apply and are submitted online. The code number for the MSEE is 562440M.

All applicants, regardless of citizenship, whose preparatory education was principally in a language other than English must receive a minimum score of 550 on the paper-based, 213 on the computer-based or 79/80 on the Internet-based Test of English as a Foreign Language (TOEFL) or a score of 6.5 or higher on the International English Language Testing System (IELTS). Besides TOEFL and IELTS,  CSUN currently accept other tests such as Duolingo. All acceptable English language tests and minimum scores are listed on the International Prospective Students page.

It is the student's responsibility to be aware of all University regulations and restrictions such as:

1. No more than 9 units of transfer or extension work
2. Probation and Disqualification
3. Repeat of courses rules
4. Advancement to Candidacy
5. Academic leave
6. 7-years time limit for the completion of the degree
7. Graduation with Distinction
8. No more than 9 units of 400 level courses.

For details on the above, students are advised to attend one of the ECE graduate orientation meetings to meet with the Graduate Coordinator. Prior to the formation of their Graduate Committee, graduate students are advised by the Graduate Coordinator. After the formation of their Graduate Committee, graduate students are advised by their Committee Chair. All courses taken towards the MS degree must be approved by the Committee Chair and the Graduate Coordinator.

Students need to complete 30 units to receive a Master of Science degree in Electrical Engineering. This includes 13 units of core requirements and 11-14 units of ECE elective courses, depending on whether they select the graduate thesis or project option. For the graduate project option (3 units), students are required to take 14 units of electives. For the graduate thesis option (6 units), students must complete 11 units of electives.

Within this degree students may choose an area of concentration in Biomedical Engineering, Communications and Radar Engineering, Control Engineering, Digital and Computer Engineering, Electronics, Solid State Devices and Integrated Circuits Engineering, Microwave and Antenna Engineering and Power Systems Engineering. Suggested courses for each of the concentrations are indicated in the listings that follow.

Note: No more than 9 units of ECE 400 level courses are applicable toward an MSEE degree. Additionally, ECE 450, ECE 455, and ECE 480 do not count toward graduate credits. You must obtain approval from the Graduate Coordinator before enrolling in any 400-level courses.

In general, graduate students are not required to take ECE labs of 400-level courses. However, some courses may require the concurrent enrollment in the lab sections. Students are advised to meet with an advisor as soon as possible to plan their program. All graduate programs in the Department of Electrical and Computer Engineering must be approved by the faculty advisor and the Graduate Coordinator.

Core Courses: Students are required to complete the following core courses.

Engineering Mathematics - select one course from the following:

• ECE 580 Digital Control Systems (3)
• ECE 582 State Variable Controls (3)
• ECE 650 Random Processes (3)

Engineering Physics - select one course from the following:

• ECE 545 Solid State Devices (3)
• ECE 571 Electromagnetic Fields and Waves II (3)
• ECE 578 Photonics (3)

Engineering Circuits - select one course from the following:

• ECE 524/L FPGA/ASIC Design and Optimization Using VHDL and Lab (3/1)
• ECE 526/L Digital Design with Verilog and System Verilog and Lab (3/1)
• ECE 540/ECE 540L Analog Integrated Circuit Design and Lab (3/1)

Engineering Systems - select one course from the following:

• ECE 501 Introduction to Biomedical Engineering (3)
• ECE 511 Distributed Energy Generation (3)
• ECE 561 Digital Communication Systems (3)

• ECE 501/L Biomedical Measurements and Instrumentation and Lab (2/1)
• ECE 502 Introduction to Medical Devices (3)
• ECE 503 Biomedical Imaging (3)
• ECE 537 Deep Learning for Pattern Recognition (3)
• ECE 540/L Analog Integrated Circuit Design (3/1)
• ECE 551 Image Processing (3)
• ECE 580 Digital Control Systems (3)
• ECE 581 Fuzzy Control (3)
• ECE 582 State Variables in Automatic Control (3)
• ECE 602 Computational Models in Biomedical Engineering (3)
• ECE 603 Biomedical Signal Processing (3)
• ECE 650 Random Processes (3)

• ECE 537 Deep Learning for Pattern Recognition (3)
• ECE 551 Image Processing (3)
• ECE 561/ECE 561L Digital Communications Systems and Laboratory (3/1)
• ECE 562 Data Communication Networks (3)
• ECE 635 Error Detection and Correction Systems Design (3)
• ECE 642 Design of Radio Frequency Integrated Circuits (3)
• ECE 650 Random Processes (3)
• ECE 651 Digital Signal Processing I (3)
• ECE 652 Digital Signal Processing II (3)
• ECE 658 Signal Detection and Estimation Theory (3)
• ECE 659 Information Theory and Coding (3)
• ECE 660 Modulation Theory and Coding (3)
• ECE 661 Wireless Communications (3)
• ECE 665 Radar Systems (3)
• ECE 666/ECE 666L Fiber-Optic Communications and Lab (3/1)

• ECE 551 Image Processing (3)
• ECE 580 Digital Control Systems (3)
• ECE 581 Fuzzy Control (3)
• ECE 582 State Variables in Automatic Control (3)
• ECE 650 Random Processes (3)
• ECE 651 Digital Signal Processing I (3)
• ECE 652 Digital Signal Processing II (3)
• ECE 681 Nonlinear Control Systems (3)
• ECE 683 Optimal Control (3)
• ECE 684 Stochastic Control (3)

• ECE 520/L System on Chip Design and Laboratory (3/1)
• ECE 524/L FPGA/ASIC Design and Optimization Using HDL and Lab (3/1)
• ECE 527/L Application Specific Integrated Circuit Development and Lab (3/1)
• ECE 528/L Robotics and Embedded Systems and Lab (3/1)
• ECE 537 Deep Learning for Pattern Recognition (3)
• ECE 546 Very Large Scale Integrated Circuit Design (3)
• ECE 551 Image Processing (3)
• ECE 620 Advanced Switching Theory (3)
• ECE 621 Computer Arithmetic Design (3)
• ECE 622 Digital Systems Structure (3)
• ECE 623 Diagnosis and Reliable Design of Digital Systems (3)
• ECE 624 Digital Systems Design Automation and VHDL Modeling (3)
• ECE 635 Error Detection and Correction Systems Design (3)

• ECE 540/ECE 540L Analog Integrated Circuit Design (3/1)
• ECE 545 Solid State Devices (3)
• ECE 546 Very Large Scale Integrated Circuit Design (3)
• ECE 572 RF and Microwave Active Circuit Design (3)
• ECE 573 Microwave & Photonic Devices (3)
• ECE 578 Photonics (3)
• ECE 640 Modern Electronic Techniques (3)
• ECE 642 Design of Radio Frequency Integrated Circuits (3)
• ECE 645 Narrow and Wide Bandgap Semiconductor Device Fabrication (3)
• ECE 648 Electrical Network Theory (3)
• ECE 649 Design of Active Filters (3)
• ECE 650 Random Processes (3)

• ECE 545 Solid State Devices (3)
• ECE 546 Very Large Scale Integrated Circuit Design (3)
• ECE 571 Electromagnetic Fields and Waves II (3)
• ECE 572 RF and Microwave Active Circuit Design (3)
• ECE 573 Microwave & Photonic Devices (3)
• ECE 577 Microwave and Optical System Design (3)
• ECE 578 Photonics (3)
• ECE 642 Design of Radio Frequency Integrated Circuits (3)
• ECE 648 Electrical Network Theory (3)
• ECE 650 Random Processes (3)
• ECE 665 Radar Systems (3)
• ECE 671 Microwave Engineering (3)
• ECE 672 Advanced Microwave Circuit Design (3)
• ECE 674 Antenna Engineering (3)

• ECE 510 Power Systems II (3)
• ECE 511 Distributed Energy Generation (3)
• ECE 512 Electric Power System Protection (3)
• ECE 580 Digital Control Systems (3)
• ECE 581 Fuzzy Control (3)
• ECE 582 State Variables in Automatic Control (3)
• ECE 595PWS Power Systems II (3)
• ECE 610 Power System Operation and Control (3)
• ECE 611 Power Distribution Systems (3)
• ECE 683 Optimal Control (3)

Biomedical Engineering

Communications and Radar Engineering

Control Engineering

Digital and Computer Engineering

Electronics Solid State Devices & Integrated Circuits Engineering

Microwave and Antenna Engineering

Power Systems Engineering