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Graduate Student Handbook

For information about our program and degree requirements, please read our Graduate Student Handbook.

Howdy!

Welcome to the graduate program in The Department of Electrical & Computer Engineering (ECEN) at Texas A&M University. Our department offers two graduate programs: Electrical Engineering and Computer Engineering.

Our graduate programs are consistently ranked among the top 15 public universities in the United States. Currently, we have 70 tenured/tenure track faculty and approximately 700 graduate students. Our high-quality research program, low tuition rates, and low cost of living make graduate studies in our programs one of the best values in the world.

Graduate course listings for ECEN

Electrical Engineering Graduate Program

This graduate program offers one of the best academic experiences among public universities. Our students become skilled in their research areas by learning from the depth and breadth of our graduate class options, which are considerable. Our faculty members are active in state-of-the-art research and training within electrical engineering and across disciplines by working with faculty members in other departments. Despite the size of our programs, students will find support from their faculty advisory committee members to develop a personal plan that satisfies degree requirements and matches their needs, interests, and long-term goals.

Electrical engineering is a diverse field that embraces many specialty areas, which include:

  • Analog and Mixed Signal

    This area focuses on the design and analysis of circuits that process both analog and digital signals. Research includes the development of integrated circuits for communications, sensing, signal conversion, and low-power applications. These systems are foundational to modern electronics, from smartphones to medical devices.

  • Biomedical Imaging, Sensing and Genomic Signal Processing

    This interdisciplinary field combines engineering, biology and computational methods to advance medical technology. Research areas include image reconstruction, wearable and implantable sensors, and algorithms for interpreting genomic and physiological data—enabling breakthroughs in diagnostics, personalized medicine and healthcare monitoring.

  • Device Science and Nanotechnology

    Research in this area involves the development and application of nanoscale devices and materials, including semiconductors, sensors and transistors. By pushing the limits of size and performance, this field drives innovations in quantum electronics, flexible electronics and high-speed computing technologies.

  • Energy and Power

    This specialty addresses the generation, distribution and management of electrical energy. Students engage in research on smart grids, renewable integration, power electronics and sustainable energy systems. The goal is to make power systems more efficient, reliable and resilient to meet global energy demands.

  • Electromagnetics and Microwaves

    This field explores the behavior and application of electromagnetic waves across the frequency spectrum. Research includes antenna design, radar systems, wireless communication and electromagnetic compatibility. Innovations power technologies from satellite communications to medical imaging systems.

  • Information Science and Learning Systems

    This area investigates the theory and application of information processing, machine learning and data-driven decision-making. Research topics include signal processing, statistical inference, neural networks and intelligent systems—tools that are essential in modern applications such as autonomous systems, robotics and communications.

Computer Engineering Graduate Program

This program focuses on the design, analysis, and application of computers and their applications as components of systems. Our department sustains and strengthens its teaching and research program to provide students with inspiration and quality education in the theory and practice of computer engineering.

Our primary goal is to provide the highest quality education for students pursuing graduate degrees in the computer engineering research field. We strive to attain this by meeting our department goals:

  • To create new knowledge and challenge young minds by participation in the process of discovery and invention
  • To educate electrical and computer engineers with a solid background in fundamentals, stretching their imagination and preparing them for an exciting future
  • To serve our society through research, education and outreach activities.

Research Areas

Our graduate students can explore a wide range of cutting-edge research topics that impact nearly every aspect of modern technology. Our faculty lead innovative investigations that span from foundational theory to real-world application, creating opportunities for students to engage in collaborative, interdisciplinary research. Below is an overview of our primary research areas within computer engineering, each contributing to the advancement of today’s most dynamic and high-impact technologies.

  • Artificial Intelligence: Focuses on developing algorithms and systems that can simulate human intelligence, including machine learning, natural language processing, audio, video and image processing and decision-making under uncertainty.
  • Augmented and Virtual Reality: Explores immersive technologies that blend digital content with physical environments (AR) or simulate entirely virtual spaces (VR), with applications in education, design, gaming and healthcare.
  • Computer Networks and Internet: Researches the design, optimization, and analysis of communication networks, including protocols, traffic management and next-generation internet infrastructure.
  • Computer Systems and Architecture: Centers on the design and evaluation of computer hardware and systems, including processors, memory hierarchies and the integration of hardware with software to improve performance and efficiency.
  • Digital VLSI Design and Test: Covers the design, simulation, and testing of Very Large-Scale Integration (VLSI) digital circuits, enabling faster and more efficient chips for computing and embedded applications.
  • Electronic Design Automation: Focuses on developing software tools and methodologies to automate the design, layout, verification and testing of complex electronic systems and integrated circuits.
  • Fault Tolerance, Security and Reliability: Examines techniques to ensure system dependability by protecting against hardware faults, software bugs and malicious attacks, especially in mission- critical applications.
  • Mobile Wireless Networking: Studies of wireless communication systems, protocols and mobility support, including the performance and security of mobile networks such as 5G and beyond.
  • Network Security and Reliability: Focuses on safeguarding network infrastructure against cyber threats and ensuring uninterrupted, trustworthy communication in wired and wireless systems.
  • Robotics: Investigates the development of intelligent robotic systems capable of perception, planning and autonomous decision-making, including human-robot interaction and swarm robotics.
  • Storage Systems: Covers the architecture, performance and reliability of data storage systems, including solid-state drives, cloud storage and large-scale distributed storage platforms.