Electrical and Computer Engineering - Advanced Mobility, M.S.

Graduate from the online ECE master’s program with the in-demand engineering skills employers seek to help them stay ahead in a highly competitive, global industry. You’ll also position yourself for potential promotions and salary increases. The U.S. Bureau of Labor Statistics (BLS) projects a 7% job growth for computer engineers over the next decade and a 9% job growth for electrical engineers. Both rates are faster than the average 4% job growth for all professions.

Jobs for those who graduate with an online Master of Science in Electrical and Computer Engineering - Advanced Mobility degree include:

• Automation Engineer
• Electrical and Computer Engineer
• Mobility Engineer
• Robotics Engineer
• Senior Engineer, Autonomous Driving
• Senior Software Engineer – Autonomous Vehicle Security

CE-6423 | Mobile Robotics

This course covers fundamentals of robotics with an emphasis on mobile robots, which are intelligent integrated mechanical, electrical, and computational systems functioning in the physical world. Topics include state-of-the-art technologies in mobile robotics, such as locomotion, sensing, control, communication, localization, mapping, navigation, etc. Advanced topics such as the coordination of multiple mobile robots will also be explored. The course aims to provide both theoretical and practical experience to students through lectures and simulation software. Students also complete independent projects or research on current topics covering mobile robotics technologies and related fields.

CE-6523 | Artificial Intelligence for Autonomous Driving

This course will provide introductory theories and technologies in artificial intelligence, focusing on machine learning and covering a wide range of machine learning methods, concepts, and applications. Machine learning studies algorithms that learn from large quantities of data, identifying patterns and making predictions on new data. The major list of machine learning fields includes computer vision, robotics, autonomous driving, voice/gesture recognition, and automated planning and scheduling, etc. Students study the concepts that underlie intelligent systems and investigate advanced topics in intelligent systems through a course project.

ECE-6103 | Modeling Dynamic Systems

This course covers modeling, simulation, and analysis of multivariable dynamic systems. Approaches to modeling a variety of dynamic physical systems are discussed using examples of dynamic systems taken from a variety of fields. The course places emphasis on the modeling and analysis of electric vehicle systems and components. Transient and steady-state behaviors of power electronic circuits using state space models are included in this course. These systems are simulated using MATLAB simulation tools. Most of the course is devoted to the analysis of linear systems using now classical techniques based on linear algebra, state-space representations, and the state transition matrix.

ECE-6303 | Digital Signal Processing

This graduate-level course is designed to introduce critical digital signal/image processing principles/theories and techniques applied to a variety of automotive engineering applications. Special focus is given to autonomous driving and NVH analysis. Examples include, but are not limited to, edge detection methods in traffic sign recognition and identification, Kalman filtering for vehicle state estimation, Modal analysis (frequency domain), and expansion to time-frequency domain analysis of dynamic response using techniques such as wavelets and Empirical Mode Decomposition (EMD). MATLAB will be heavily used for analysis and simulations.

ECE-6323 | Automotive Control Systems

This class will focus on applying students' knowledge of fundamental principles of control systems to a variety of systems within automobiles. Specific topics will include the control of the air-fuel ratio, spark timing, idle speed, transmissions, cruise and headway, lane-keeping, and active suspensions. Other topics that may be included are antilock brakes, traction control, and vehicle stability control. Simulations will be used, and students will be using MATLAB/Simulink for many of the assignments.

ECE-6423 | Machine Drives For Electric Vehicles

Methods of controlling electric machines and their applications in electric vehicles are discussed. Topics include solid-state devices, various switching schemes, types of drives, characteristics of motors, controlling motors, including vector control, braking of motors, and dynamics of electric drives and applications.

EE-6263 | Power Electronics for Vehicle Electrification

This is an advanced class in power electronics. Advanced converter topologies, control methods, and analyses used in electric-vehicle and power-system domains will be discussed. Topics include state-variable modeling of DC-DC converters for closed-loop control system design, isolated DC-DC converter topologies (half, full, and dual bridges), and resonant DC-DC converter topologies (series, parallel, and series-parallel) for wireless power transfer and battery charging, soft-switching concepts and control methods for isolated DC-DC converters, single-phase and three-phase inverter design, inverter control methods including six-step, Sine PWM, Space Vector PWM, and Discontinuous PWM, and the design and control of multilevel and modular multilevel inverters.

CE-6513 | Introduction to Autonomous Driving

This course provides an overview of theoretical and practical background regarding the design and development of autonomous vehicles. Topics include an overview of autonomous vehicle systems, autonomous vehicle localization technologies, perception in autonomous driving, decision and planning, and control for autonomous driving. This course aims to cover the basics of autonomous driving through lectures, assignments, a term project, and readings on current related topics.

MGMT- 6203 | Business Communication and Presentation

The ability to listen and craft well-written messages — verbally, in writing, and within digital spaces — is a valued skill among employers regardless of industry. This course is designed to provide opportunities for students to sharpen writing, improve editing, hone critical thinking skills, and create effective persuasive messages. Course content also includes best practices for organizing, revising, and presenting information in person and remotely.

ECE-6593 | Integrative Capstone Project

This course is designed for students to create an ECE-focused project applicable to current ECE applications, especially related to electrification or advanced mobility. Throughout the course, students develop their proposal regarding an organization-based electrification or advanced mobility challenge, including identifying and incorporating all feedback from stakeholders. Students establish a team contract, identify deliverables, and collect and analyze data. At the end of the course, students develop and deliver a presentation with solutions to their organization’s challenge(s).

At Kettering University, our admissions team is ready to help you take the next step toward your future. We’re committed to providing the personalized support you need to reach your goals, from your first inquiry through graduation. Whether you have questions about the program, the application process, or how this degree can advance your career, we’re here to guide you. Your success is our priority.

Domestic Admissions Requirements

• A bachelor’s degree from an approved, ABET-accredited engineering (not technology) or computing program, or a Kettering University degree other than management or business.
• Undergraduate degree with 3.0 on a 4.0 grading system, or the international equivalent (85 overall grade point average on a 100-grade-point scale).  A 2.5-2.99 GPA will be considered on a provisional basis.
• Résumé.
• Statement of Purpose.
• Three professional letters of recommendation (one must be from a supervisor).
• Official transcripts from a regionally accredited U.S. university or an international equivalent.
• Up to eight hours of transfer credits may be available.
• No GRE or GMAT is required.

Kettering University is accredited by the Higher Learning Commission and is a member of the North Central Association of Colleges and Schools. These designations affirm that our programs uphold the highest standards of academic excellence and institutional integrity. Our faculty and staff provide a challenging curriculum designed to foster student learning and achievement.