Electrical Engineering and Computer Science Programs
Combine the scientific and research endeavors of electrical and computer engineering with the innovation of computer science for a truly powerful educational experience.
The BS degree in computer science is accredited by the Computing Accreditation Commission of the Accreditation Board for Engineering and Technology (ABET)
Study power generation, communication systems, instrumentation, circuitry and microprocessor design to prepare to work with electrical systems and equipment.
Gain a balanced perspective of hardware and software in an innovative engineering environment.
Study software systems, networking, cybersecurity and high-performance computing while gaining an understanding of computational theories and programming methodologies.
Complete both a bachelor’s and master’s in computer science, computer engineering or electrical engineering in just five years. Undergraduate students who have completed at least 90 credit hours and have a 3.0 GPA or higher are eligible to apply for the Accelerated BS to MS Program.
Advance your understanding of cloud computing, computer architecture and hardware level security.
Delve deeper into the problems of electrical engineering and help provide innovative solutions.
Further your exploration of computing systems, networks, cybersecurity and cloud computing.
Work alongside faculty on research around artificial intelligence, machine learning and computer vision; cloud computing, networking and high performance computing; cybersecurity; cyber-physical systems and social computing.
Gain an advanced understanding of electrical and computer engineering. Explore research around bioinformatics, computational biology, software engineering, nano technology, neural engineering, physical and power electronics and system modeling.
Gain a fundamental and applied understanding of brain signals—a growing component of neural big-data research.
Gain a deeper understanding of how the brain functions with a Certificate in Neural Engineering – Systems.
Learn the fundamentals of artificial intelligence and machine learning.
Gain an understanding of the fundamentals and advanced skills in data analytics engineering.
Gain a fundamental and applied understanding of brain signals and systems and machine learning schemes in the rapidly growing field of neural big-data research.