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

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

• Total Number of Hours (30)
• 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 Electrical & Computer Engineering (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.
  • If a student plans to take a course elsewhere while at Texas A&M University, the student should consult the Graduate Office before doing so.
  • Students must send syllabi, transcripts, and Texas A&M ECEN course equivalents to the Graduate Office. Transfer hours are subject to the approval of the Group Leader/Graduate Studies Committee (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.
  • If a student plans to take a course elsewhere while at Texas A&M, the student should consult the Graduate Office before doing so.
  • Students must send syllabi, transcripts, and Texas A&M ECEN course equivalents to the Graduate Office. Transfer hours are subject to the approval of the Group Leader/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