M.S. Computer Engineering
The Master of Science (M.S.) in Computer Engineering program is designed to provide students with advanced knowledge and practical skills in the design, development, and optimization of computer systems, as well as hardware-software integration. Combining elements of traditional electrical engineering and computer science, this program equips students with a strong foundation in both theoretical concepts and real-world engineering applications. The curriculum covers everything from mathematical and scientific principles to cutting-edge engineering practices, preparing graduates for leadership roles in industries such as digital systems design, embedded systems, robotics, machine learning, artificial intelligence, and beyond.
The program offers a flexible curriculum that allows students to tailor their studies to align with their career goals. Students can choose between a thesis plan, ideal for those interested in research and academic pursuits, or a project plan, which focuses on solving real-world engineering challenges through a culminating project.
Program Highlights
- Specialized Core Courses: Gain in-depth knowledge in areas such as system-on-chip (SoC) design, FPGA/ASIC development, computer architecture, microcontroller, and computer arithmetic.
- Diverse Elective Options: Customize your learning experience by selecting from a wide range of electives in Computer Science (COMP) and Electrical and Computer Engineering (ECE), including topics like machine learning, image processing, computer security, robotics, and VLSI design.
- Hands-On Learning: Engage in laboratory-based courses and projects that provide practical experience with industry-standard tools and technologies.
- Culminating Experience: Complete either a graduate thesis or a project, allowing you to demonstrate your expertise and contribute to the field.
Why Earn a Master's in Computer Engineering?
Pursuing a master’s degree in Computer Engineering equips you with advanced skills at the intersection of hardware and software, preparing you to lead innovation in areas such as computer hardware design, embedded systems, robotics, artificial intelligence, and high-performance computing. As technology continues to drive transformation across industries, a graduate degree provides the depth and specialization needed to tackle complex engineering problems, design next-generation systems, and contribute to cutting-edge research.
Career Opportunities
Graduates of the M.S. in Computer Engineering program are well-prepared for careers in:
- Computer hardware system design
- Embedded systems development
- Computer hardware and software integration
- Robotics and automation
- Artificial intelligence and machine learning
- Cyber-physical systems
- A bachelor’s degree from an accredited university or college, with a minimum overall GPA of 2.75.
- A minimum GPA of 2.7 in the last 60 semester units (or 90 quarter units) of undergraduate coursework.
- All applicants, regardless of citizenship, whose preparatory education was principally in a language other than English, are required to pass an English Proficiency exam.
Class | Description |
Math 150A | Calculus I |
Math 150B | Calculus II |
Math 250 | Calculus III |
Math or ECE 280 | Applied Differential Equations |
Physics 220A/AL | Mechanics |
Physics 220B/BL | Electricity and Magnetism |
Comp 110/L | Introduction to Algorithms and Programming and Laboratory |
Comp 182/L | Data Structures and Program Design 3/1 |
Comp 282 | Advanced Data Structures and lab 3 |
ECE 240/L | Electrical Engineering Fundamentals |
ECE 309 | Numerical Methods in Electrical Engineering |
ECE 320/L | Theory of Digital Systems |
ECE 340/L | Electronics I |
ECE 350 | Linear Systems I |
ECE 351 | Linear System II |
ECE 420 | Digital Systems Design with programmable Logic |
ECE 422 | Design of Digital Computers 3 |
ECE 425/L | Microprocessor Systems & Laboratory |
ECE 442/L | Digital Electronics & Laboratory |
ECE 450 | Probabilistic Systems in Electrical |
** The ECE Graduate Coordinator will determine which course(s) will be required.
The candidate must:
- Fulfill University requirements for classified status.
- Complete prerequisite courses with a 3.0 GPA or higher.
- Submit a tentative program of study to the ECE graduate coordinator.
- Maintain a grade of “C” or better, while maintaining a GPA of 3.0 or higher in any course taken.
For the Degree:
- 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.
- Formal approval of granting the degree by the Engineering Faculty.
Thesis Plan:
- 24 units of course work applicable to the M.S. degree, of which at least 15 units must be 500/600-level ECE courses. Select a minimum of 12 units of Electrical and Computer Engineering courses and a minimum of 6 units of Computer Science courses plus 6 units selected from Electrical and Computer Engineering or Computer Science courses.
- 6 units of ECE 698(Thesis) and a successful oral defense of the thesis before the thesis committee.
Project Plan:
- 27 units of coursework applicable to the M.S. degree, of which at least 18 units must be 500/600-level ECE courses. Select a minimum of 12 units of Electrical and Computer Engineering courses and a minimum of 6 units of Computer Science courses plus 9 units selected from Electrical and Computer Engineering or Computer Science courses.
- 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 courses from Electrical and Computer Engineering and Computer Science. 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 MSCompE is 562445M. Application deadlines for admission are set by the Office of Admissions.
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.
Continuing students in either Post Baccalaureate or Graduate status may change their objective and seek admission to a MS in Computer Engineering by filling out a change of objective form that can be obtained from the Office of Admissions and Records.
It is the student’s responsibility to be aware of all University regulations and restrictions such as:
- No more than 9 units of transfer or extension work
- No more than a total of 9 units of ECE 400-level Digital course and/or Comp 400-level courses taken in residence can be counted toward Master in Computer Engineering
- Probation and Disqualification
- Repeat of courses rules
- Advancement to Candidacy
- Academic leave
- 7-years time limit for the completion of the degree
- Graduation with Distinction
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.
For this degree, the student must define a program that conforms to the general M.S. in Computer Engineering degree requirements as established by the Department.
Students are advised to meet with an advisor as soon as possible to plan their program. No more than a total of 9 units of ECE 400-level Digital courses and/or Comp 400-level courses taken in residence can be counted toward Master in Computer Engineering.
Students must select a minimum of 14 units of 500 or 600-level required Electrical and Computer Engineering (ECE) courses listed below:
- ECE 520/L System on Chip Design and Laboratory (3/1)
- ECE 524/L FPGA/ASIC Design and Optimization Using VHDL and Lab (3/1) or ECE 526/L Digital Design with Verilog and System Verilog and Lab (3/1)
- ECE 620 Advanced Switching Theory (3)
- ECE 621 Computer Arithmetic Design (3) or ECE 622 Digital Systems Structure (3)
And 10–13 units of ECE or COMP 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 13 units of electives. For the graduate thesis option (6 units), students must complete 10 units of electives.
- ECE 420 Digital Systems Design with Programmable Logic (3)
- ECE 420L Digital Systems Design with Programmable Logic Lab (1)
- ECE 422/ECE 422L Design of Digital Computers and Lab (3/1)
- ECE 425/L Microprocessor Systems and Lab (3/1)
- ECE 442/L Digital Electronics and Lab (3/1)
- ECE 443/L Pulse and Waveshaping Circuit Design and Lab (3/1)
- 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 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 562 Data Communication Networks (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 699A Independent Study (1)
Note: No more than 9 units of 400-level courses are applicable toward an MS Computer Engineering degree. Before enrolling any 400-level courses, please seek approval from the Graduate Coordinator.
- COMP 424 Computer System Security (3)
- COMP 429 Computer Network Software (3)
- COMP 440 Database Design (3)
- COMP 442 Introduction to Machine Learning (3)
- COMP 469 Introduction to Artificial Intelligence (3)
- COMP 484/L Web Engineering I and Lab (2/1)
- COMP 485 Human-Computer Interaction (3)
- COMP 522 Embedded Applications (3)
- COMP 528 Mobile Computing (3)
- COMP 528L Mobile Computing Lab (1)
- COMP 529/L Advanced Network Topics and Lab (2/1)
- COMP 541 Data Mining (3)
- COMP 542 Machine Learning (3)
- COMP 560 Expert Systems (3)
- COMP 565 Advanced Computer Graphics (3)
- COMP 587 Software Verification and Validation (3)
- COMP 620 Computer System Architecture (3)
Note: No more than 9 units of 400-level courses are applicable toward an MS Computer Engineering degree. Before enrolling any 400-level courses, please seek approval from the Graduate Coordinator.
A. Thesis Plan
ECE 698C Thesis (3-3)
Successful defense of thesis before the thesis committee is required. Students who select the Thesis will complete 14 units of core courses, 6 units of ECE 698C, and 10 units of electives with no more than 9 units of 400-level courses approved for graduate credit.
B. Project Plan
ECE 698C Graduate Project (3)
The Graduate Project will culminate in a comprehensive report. Students who select the Graduate Project will complete 14 units of core courses, 3 units of ECE 698C, and 13 units of electives with no more than 9 units of 400-level courses approved for graduate credit.
Biomedical Engineering
Dr. Xiyi Hang | xhang@csun.edu | 818-677-7003 |
Dr. John Valdovinos | john.valdovinos@csun.edu | 818-677-7595 |
Communications and Radar Engineering
Dr. Ali Amini | aamini@csun.edu | 818-677-3609 |
Dr. Sahabul Alam | sahabul.alam@csun.edu | 818-677-2190 |
Dr. S. K. Ramesh | s.ramesh@csun.edu | 818-677-4742 |
Control Engineering
Dr. Ali Amini | aamini@csun.edu | 818-677-3609 |
Dr. Xiaojun (Ashley) Geng | xjgeng@csun.edu | 818-677-4755 |
Dr. Ruting Jia | ruting.jia@csun.edu | 818-677-6967 |
Dr. Kourosh Sedghisigarchi | ksedghi@csun.edu | 818-677-2036 |
Digital and Computer Engineering
Dr. Nagi El Naga | nagi.elnaga@csun.edu | 818-677-3204 |
Dr. Xiaojun (Ashley) Geng | xjgeng@csun.edu | 818-677-4755 |
Dr. Shahnam Mirzaei | shahnam.mirzaei@csun.edu | 818-677-7002 |
Dr. Ramin Roosta | ramin.roosta@csun.edu | 818-677-2452 |
Electronics Solid State Devices & Integrated Circuits Engineering
Dr. Jack Ou | jack.ou@csun.edu | 818-677-7197 |
Dr. Somnath Chattopadhyay | somnath.chattogadhyay@csun.edu | 818-677-7197 |
Dr. Brad Jackson | bradley.jackson@csun.edu | 818-677-2190 |
Dr. S. K. Ramesh | s.ramesh@csun.edu | 818-677-4742 |
Dr. Matthew Radmanesh | matthew.radmanesh@csun.edu | 818-677-2179 |
Microwave and Antenna Engineering
Dr. Matthew Radmanesh | matthew.radmanesh@csun.edu | 818-677-2179 |
Dr. Brad Jackson | bradley.jackson@csun.edu | 818-677-2190 |
Dr. Sembiam Rengarajan | sembiam.rengarajan@csun.edu | 818-677-3571 |
Power Systems Engineering
Prof. Bruno Osorno | bruno@csun.edu | 818-677-3956 |
Dr. Rasoul Narimani | rasoul.narimani@csun.edu | 818-677-2190 |
Dr. Kourosh Sedghisigarchi | ksedghi@csun.edu | 818-677-2036 |