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Biomedical Electrical Engineering Ph.D.
Doctoral Degree
Program type:
Major
Format:
On Campus
Est. time to complete:
4-6 years
Credit Hours:
42 (with prior M.S.)72 (with prior B.S.)
Become a high-tech-job-creating entrepreneur of tomorrow with UNT’s first-of-its-kind
Electrical Engineering Ph.D. program with a concentration in Biomedical Engineering.
If you have a passion for electrical engineering, love helping others and have a bit
of that entrepreneurial spark, then a Ph.D. in Electrical Engineering with a concentration
in Biomedical Engineering may be for you. The program's integrated entrepreneurship
component is a unique and innovative feature aimed at preparing students for an exciting
career that blends both technology and health care with entrepreneurship.
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Request More InfoWhy earn a degree in Biomedical Electrical Engineering?
The department houses several state-of-the-art instructional and research laboratories that provide practical and advanced hands-on experiences. They include:
- Analog/Mixed-Signal Design and Simulation Laboratory
- Autonomous Systems Laboratory
- Communications and Signal Processing Laboratory
- Embedded Sensing & Processing Systems Laboratory
- Environmental and Ecological Engineering Laboratory
- Optimization, Signal Processing, and Control Algorithm Research Laboratory
- Power Electronics and Renewable Laboratory
Marketable Skills
- Identify knowledge gaps in electrical engineering
- Expertise with modern tools
- Data analysis using computational tools
- Entrepreneurship capability
- Scientific report writing and communication
Biomedical Electrical Engineering Ph.D. Highlights
Our faculty members are well-known for their expertise, spirit of innovation and emphasis
on university/industry collaboration. Their research has been supported by the National
Science Foundation, NASA, the National Institute of Standards and Technology, the
MITRE Corp. and local industries, among others.
Engineering classes and research are conducted at Discovery Park, a 300-acre research
facility that brings together laboratories, offices and classrooms to maximize the
potential for creativity, collaboration and technological innovation.
The department houses several state-of-the-art instructional and research laboratories
that provide practical and advanced hands-on experiences.
The College of Engineering constantly assesses its degree programs with an eye on
tomorrow's marketplace. The Department of Electrical Engineering is a pioneer in developing
project-oriented curricula, giving students the opportunity to apply knowledge to
tangible real-world needs.
You'll also have direct access to the Materials Research Facility, the UNT Nanofabrication
Cleanroom and the Center for Advanced Scientific Computing and Modeling.
Ph.D. graduates will be prepared to conduct research into new unexplored fields for
the discovery of new knowledge principles that can revolutionize the technology sector.
What Can You Do With A Degree in Biomedical Electrical Engineering?
With up to 100% job placement rate in academia, industry and research organizations, our graduates are employed in various sectors such as high-tech, energy, defense, finance, transportation and government.
Biomedical Electrical Engineering Ph.D. Courses You Could Take
Design and Testing of Digital Systems (3 hrs)
Topics include review of combinational logic, testing combinational circuits, sequential
circuit synthesis, state minimization, state assignment, and structure of sequential
circuits; state identification and fault detection experiments; and testing of sequential
circuits and design for testability.
Wireless Integrated Circuit Design (3 hrs)
This course shows how to translate wireless system specification to architectures
and building blocks compatible with integrated circuit technology. Student is expected
to understand the analysis and design of wireless systems including the circuits,
blocks and architectures as demonstrated by the course project.
Wireless Communications (3 hrs)
This course provides in-depth coverage in wireless and mobile networks, and introduces
fundamental theory and design of modern wireless communication systems. Topics include
2G and 3G wireless standards, cellular communications, mobile radio propagation, multipath
fading channel characterization, channel equalization and multiple access technique
for wireless communications.
Neuroengineering (3 hrs)
This course includes contemporary topics in neuroscience and physiology. Topics vary
from semester to semester and may include neuro-physiology, computational neuroscience,
neurotransmitters central nervous system trauma.
AI for Wearables and Healthcare (3 hrs)
Students use machine learning to extract clinically useful signals from wearable devices
including inertial sensors such as accelerometers and gyroscopes. Applications of
AI in health care as a whole are discussed, with a specific emphasis on wearable devices.
Digital Signal Processing (3 hrs)
This course is an introduction to modern digital signal processing theory and techniques
and includes discrete time signals and systems, sampling theorem, Z-transform, frequency
analysis of signals and systems, discrete Fourier transform, fast Fourier transform
algorithms and digital filter design.
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