Online Programs

Master of Science in Vehicle Cyber Engineering

Master of Science

Fully Online Program
30 Total Credits
$916 per Credit Hour

The Master of Science in Vehicle Cyber Engineering degree (MSVCE) is a 30 credit-hour degree designed to provide hands-on training in connected vehicle cybersecurity. The coursework presented is based on topics that intersect electrical engineering, computer science, and cybersecurity. This relevant, hands-on curriculum is aligned closely with the cybersecurity needs of the vehicle and mobility industries to create an exciting learning environment that will provide a competitive advantage in the workplace for the graduate.

The program is offered online through the Engineering Graduate Programs Office in the College of Engineering & Science and the Electrical & Computer Engineering and Computer Science Department.  The program is supported by the Regional Applied Vehicle Cybersecurity Institute.

Program Outcomes

Upon completion of the MS in Vehicle Cyber Engineering program, graduates will be able to: 

  1. Identify, formulate, and solve electrical engineering problems in vehicular systems that involve automotive communication busses, Electronic Control Units (ECUs), and sensor/human interface technologies.
  2. Perform risk assessment and threat analysis to vehicular cyber systems.
  3. Develop cybersecurity solutions for embedded vehicle systems and distributed intra-vehicle networks.
  4. Identify, formulate, and solve cybersecurity problems in the areas of vehicular networks, artificial intelligence, and supply chain.
  5. Design comprehensive cybersecurity solutions for integrated vehicular systems or subsystems that span over multiple attack vectors.
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Admissions & Application Questions Valarie Steppes-Glisson, Administrative Assistant Professional Engineering Programs glissovs@udmercy.edu 313-993-1128
 
College of Business Administration
 
Paul Spadafora Director of Professional Engineering Programs 3139931603 spadafpa@udmercy.edu

Required Courses (30 credit hours)

 

CSSE 5545  Advanced Computer Security (3 credits)
CSSE 5760  Network Security (3 credits)
CSSE 5120 Intro to Data Science or ELEE 5750 Deep Learning or other approved technical elective (3 credits)
CYBE 5580  System Forensics or ELEE 5350 Machine Learning or VCE 5350 Applied Machine Learning (3 credits)
ELEE 5150 Secure Wireless Vehicular Networks (3 credits)
VCE 5110  Introduction to Cybersecurity (3 credits)
VCE 5400 Secure Vehicle Embedded Systems (3 credits)
VCE 5500  Secure Vehicle Electronics or ELEE 5500 Automotive Electronics (3 credits)
VCE 5530 Vehicular Hardware Security (3 credits)
VCE 5600 Capstone Design for Cyber Vehicle Engineering (3 credits)
 
Course descriptions can be found in the graduate Catalog, linked here.

Admissions Criteria

Students must maintain a GPA of at least 3.0 both overall and in the program. Grades below "C" will not advance the student towards graduation. Students with the Vehicle Cyber Engineering Graduate Certificate may apply all the courses toward this master's degree.

Program Requirements

Typical minimum requirements include an undergraduate GPA of at least 3.0 (or equivalent) and a bachelor's degree from an accredited university in Electrical Engineering, Robotics Engineering, Engineering (with a relevant focus), Computer Science, or a closely related discipline.  Applicants with cyber experience but who need additional technical knowledge to be successful in the master's-level courses, will be required to complete prerequisite courses or modules as part of a conditional admission.  These prerequisites will not advance a student toward his/her degree. Each applicant must also be approved by the department director/chair and the College of Engineering & Science dean's office.

Although the Graduate Record Exam (GRE) is not required, a strong score on the GRE will strengthen the application.