Prepare for the Exciting World of Electrical Engineering and Computer Science
Combine the scientific and research endeavors of electrical and computer engineering with computer science for a truly powerful educational experience. Regardless of your major, you’ll benefit from hands-on learning, world-renowned faculty and ground-breaking, life-changing research happening in Electrical Engineering and Computer Science.
Undergraduate Degree Programs
Bachelor of Science in Electrical Engineering
Help find solutions to global energy problems. You’ll learn about electrical power generation, communication systems and instrumentation. Explore circuit and microprocessor design, and gain an understanding of electromagnetic fields. Prepare to work with electrical systems and equipment.
Bachelor of Science in Computer Engineering
Design applications, programs and systems that change the way we think, work and live. Gain a balanced perspective of hardware and software in an innovative engineering environment. Study discrete and integrated electronics and robotics. Prepare to research, design and develop computing systems and components. You will also be ready to advance to graduate studies.
Bachelor of Science in Computer Science
Learn to harness the power of big data, cloud computing and artificial intelligence. You’ll study algorithms, software systems, networking, cybersecurity and high-performance computing. Gain an understanding of computational theories and programming methodologies. You’ll be prepared to write programs, develop websites and create applications and to advance to a graduate-level program. The BS CS degree is accredited by the Computing Accreditation Commission of ABET, www.abet.org.
Dual Bachelor of Science in Electrical Engineering and Physics
Distinguish yourself with a dual degree that combines the application skills of electrical engineering with the foundational knowledge of physics. Study electromagnetics, circuits and systems alongside electricity, magnetism and thermodynamics. Prepare to work with optics, plasma, materials and biophysics in research and development labs. You will also be ready to advance to graduate-level studies.
Dual Bachelor of Science in Electrical and Computer Engineering
Expand your career options with a degree the blends electrical engineering with the study of hardware and software. Study circuits, microprocessing and instrumentation along with computer architecture, organization, design and language. You will graduate prepared for jobs in hardware, firmware, computer architecture, research and development. Or, advance your studies.
Dual Bachelor of Science in Computer Science and Information Technology
Gain both a practical and theoretical understanding of computers and technology. Study programming, graphics, system design, databases and networking. Then, opt to delve deeper into information systems or media technologies. You’ll be prepared for the high-growth IT industry or for advancement into a graduate-level program.
Undergraduate Certificate Programs
Certificate in Neural Engineering – Signals
Gain a foundational understanding of brain signals. Study concepts around brain waves, recording techniques and types of noise. Gain expertise in the usage of signal processing concepts in applications such as detecting the onset of epilepsy and design of brain-machine interfaces.
Certificate in Neural Engineering – Systems
Gain both a fundamental and applied understanding of brain signals, a rapidly growing component of neural big-data research. Study basic concepts related to modeling the nonlinear electrical circuits in the brain. Gain the expertise required for design of neural prostheses and brain-machine interfaces.
Accelerated BS to MS Program
Accelerated Bachelor to Master of Science (CS, CE, EE)
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. Those accepted will be considered “provisional” graduate students and can take up to 15 credit hours of graduate-level electives, which will count toward both the BS and MS. Students will fully transition to the master’s program once they reach 126 credit hours.
Graduate Degree Programs
To apply for a master’s or doctorate program, apply through the MU Graduate School.
View the EECS graduate brochure.
Master of Science in Computer Engineering
Advance your understanding of the Internet of Things (IoT) and cyber-physical systems. Study new innovations such as wearable biocompatible sensors, low-power flexible integrated circuits, cloud computing, hybrid multicore computer architecture and hardware level security. Work with an advisor to select a research topic and write and present your thesis. Prepare to continue on in a PhD program or work in advanced positions.
Master of Science in Electrical Engineering
Delve deeper into the problems of electrical engineering and help provide innovative solutions. Advance your understanding of the Internet of Things (IoT) and cyber-physical systems. You’ll work with an advisor to choose and execute research to write and present your thesis. You will finish the program prepared for high-level positions within the industry or continued studies in a PhD program.
Master of Science in Computer Science
Prepare for advanced professional careers in technology development. Receive specialized training in active research fields. Work in leading industrial, government and non-profit organization research and development facilities. Or, plan to advance to a PhD program.
Master of Engineering
The Master of Engineering allows you to earn a terminal master’s degree for professional purposes. Further your understanding of computer science or electrical and computer engineering for advancement in the field. This non-research degree is for those who do not plan to pursue a PhD. Your official university transcript and diploma will indicate Master of Engineering with no designation of a focus area. When registering for the GRE and TOEFL exams, designate the University of Missouri-Columbia and your program of interest as locations to receive scores. MU’s institutional code is 6875.
Doctorate in Computer Science
Further your study for a successful career in specialized computing, research and development or college teaching and research. You’ll study algorithms, programming methodology, software systems, computational theories, networking, computer graphics, cybersecurity, machine learning, high-performance computing and databases. Work with a faculty advisor to conduct research and defend your dissertation.
Doctorate in Electrical and Computer Engineering
Gain an advanced understanding of electrical and computer engineering. You’ll explore the Internet of Things (IoT), cyber-physical systems, electrical fields and high-level systems. You will be prepared for a successful career in research and development, a specialized field or college teaching and research. Work with a faculty advisor to conduct research and defend a dissertation.
Graduate Certificate Programs
Graduate Certificate in AI and Machine Learning
Advance your understanding of artificial intelligence and machine learning to handle growing demands for new technologies. Get an introduction to machine learning and pattern recognition before selecting from electives such as biomedical informatics, robotics and computer vision.
Graduate Certificate in Data Analytics Engineering
Gain an understanding of the fundamentals of data analytics engineering. You will be prepared to address the growing need for data engineering and data science professionals who are trained in advanced data analytics and can collect, process, and transform large streams of data into understandable and actionable information for the purpose of making decisions.
Graduate Certificate in Neural Engineering-Signals, Systems & Machine Learning
Gain both fundamental and applied understanding of brain signals and systems, and machine learning schemes in this rapidly growing component of neural big-data research. You will study basic concepts related to modeling the nonlinear electrical circuits in the brain which use concepts from signal processing, systems modeling and control disciplines.