Online Master of Science in Electrical Engineering (Thesis and Non-Thesis)

Online Master of Science in Electrical Engineering (Non-Thesis)

• Total Number of Hours (32)
• A minimum of 27 classroom hours (excludes 681, 684, 685).
  • Classroom hours must be taken from courses within the College of Engineering and/or College of Science.
  • At least 18 classroom hours must be ECEN courses.
• Transfer hours allowed from another institution (6)
  
  • Transfer hours must be from a U.S. peer institution; they cannot have been used on a previous degree plan.
  • Students must send syllabi, transcripts, and TAMU course equivalents to the Graduate Office. Transfer hours are subject to the approval of the GSC.
• Undergraduate hours allowed (2 courses or 8 hours)
  • Only 400 level undergraduate courses can be included on degree plan.
  • Courses must be from the College of Engineering and/or College of Science.

Online Master of Science in Electrical Engineering (Thesis)

• Total Number of Hours (32)
• A minimum of 24 classroom hours (excludes 681, 684, 685 and 691).
  • Classroom hours must be taken from courses within the College of Engineering and/or College of Science.
  • At least 15 classroom hours must be ECEN courses.
• A minimum of 5 hours of research (ECEN 691) must be included on the degree plan.  A maximum of 8 research hours can be included. All 691s must be ECEN.
• Transfer hours allowed from another institution (6)
  
  • Transfer hours must be from a U.S. peer institution; they cannot have been used on a previous degree plan.
  • Students must send syllabi, transcripts, and TAMU course equivalents to the Graduate Office. Transfer hours are subject to the approval of the GSC.

Online Master of Science in Electrical Engineering (Non-Thesis)

• Seminar (681), Internship (684), Directed Studies (685) no more than (3) hours allowed (combined).
  • Research (691) hours are not allowed on an MS non-thesis degree plan.
• **A final project report is required to be submitted to the Graduate Office.
  • A graded project from any ECEN and CSCE graduate course can be used to fulfill this requirement. The project requires a grade, the professor’s signature, and a completed cover page. It must be submitted in the graduating semester; see TEAMS page for submission deadlines and other requirements.
• Composition of supervisory committee
  • The Graduate Coordinator will be the chair of all MS non-thesis committees. No other committee members are needed.

Online Master of Science in Electrical Engineering (Thesis)

• Undergraduate hours allowed (2 courses or 8 hours)
  • Only 400 level undergraduate courses can be included on degree plan
  • Courses must be from the College of Engineering and/or College of Science.
• Seminar (681), Internship (684), Directed Studies (685) no more than (3) hours allowed (combined).
  • If you are considering going on internship (684), please consult your research advisor before making plans.
• Final defense of thesis is required for all MS students.
  • A thesis proposal must be approved by the supervisory committee and submitted to the Graduate Office via DocuSign at least 1 month before the defense. The link can be found on the OGAPS website.
  • The Request and Announcement of Final Exam must be scheduled through the Graduate Office via DocuSign at least 1 month in advance.
  • Thesis draft must be emailed to committee members at least two weeks before defense.
  • Please see TEAMS page for details, specifically "MS Defense Steps" Document. Contact the Graduate Office if you have questions.
• Composition of supervisory committee – four members total
  • At least two members from within the ECEN Department and within the student's focus area.
  • At least one member from within the ECEN Department but outside the student's focus area.
  • At least one member from outside the ECEN Department
  • Note: Committee Chair must be ECEN faculty.

Learn more in our course catalog

The MS degree is available as both thesis and non-thesis. Those pursuing the thesis option participate in cutting-edge research and will be well-prepared for research and development careers in industry or pursuing a doctoral degree.

Students choose one of four focus areas within the department, including:

1. Analog and Mixed Signals
2. Computer Engineering and Systems
3. Energy and Power
4. Information Science and Learning Systems
   

Computer Engineering and Systems

ECEN 602 - Computer Communications and Networking (Pierce Cantrell)
ECEN 676 - Advanced Computer Architecture (Paul Gratz)
ECEN 687 - Introduction to VLSI Design Automation (Jiang Hu)
ECEN 714 - Digital Integrated Circuit Design
ECEN 722 - Field Programmable Gate Arrays Information Processing Systems
ECEN 740 - Machine Learning Engineering
ECEN 749 - Microprocessor Systems Design (Sunil Khatri)
ECEN 750 - Design and Analysis of Communication Networks
ECEN 756 - Game Theory (Srinivas Shakkottai)
ECEN 757 - Distributed Systems and Cloud Computing (I-Hong Hou)
ECEN 758 - Data Mining and Analysis
ECEN 759 - Hardware Security (JV Rajendran) 

Analog and Mixed Signals

ECEN 607 - Advanced Analog Circuit Design Techniques (4 credits)
ECEN 610 - Mixed Signal Interfaces (4 credits) (Sam Palermo)
ECEN 620 - Network Theory
ECEN 622 - Active Network Synthesis
ECEN 665 - Integrated CMOS RF Circuits and Systems (4 credits) (Kamran Entesari)
ECEN 704 - VLSI Circuit Design (4 credits) (Aydin Karsilayan)
ECEN 720 - High-Speed Link Circuits and Systems (4 credits)
ECEN 721 - Optical Interconnects Circuits and Systems
ECEN 740 - Machine Learning Engineering 

Energy and Power

ECEN 613 - Rectifier and Inverter Circuits (Prasad Enjeti)
ECEN 614 - Power System State Estimation
ECEN 615 - Electric Power Systems Analysis Methods
ECEN 632 - Motor Drive Dynamics
ECEN 667 - Power System Stability
ECEN 710 - Switching Power Supplies
ECEN 713 - Data Sciences and Appliances for Modern Power
ECEN 715 - Physical and Economical Operations of Sustainable Energy Systems
ECEN 740 - Machine Learning Engineering
ECEN 743 - Reinforcement Learning (Dileep Kalathil) 

Information Science and Learning Systems

ECEN 601 - Mathematical Methods in Signal Processing
ECEN 605 - Linear Multivariable Systems
ECEN 608 - Modern Control
ECEN 609 - Adaptive Control
ECEN 628 - Robust and Optimal Control
ECEN 629 - Applied Convex Optimization (Chao Tian)
ECEN 642 - Digital Image Processing and Computer Vision (Zixiang Xiong)
ECEN 644 - Discrete-Time Systems
ECEN 647 - Information Theory (Tie Liu)
ECEN 649 - Pattern Recognition (Ulisses Braga-Neto)
ECEN 663 - Data Compression with Applications to Speech and Video
ECEN 743 - Reinforcement Learning
ECEN 760 - Introduction to Probabilistic Graphical Models