MS in Engineering: Electrical & Computer Engineering-Advanced Mobility

MS in Engineering: Electrical & Computer Engineering-Advanced Mobility

Drive the Future

Kettering University is shaping the future of automotive engineering and advanced mobility with a groundbreaking online program: the Master's Degree in ECE - Advanced Mobility. The first of its kind, this cutting-edge advanced engineering degree equips graduates with the technical expertise to play an integral role in the development of electric and autonomous vehicles, mobile robotics and other dynamic systems. This program is specifically designed to meet growing demands within the automotive and advanced mobility industry, and it focuses on systems essential to the future of transportation, such as:

  • Integration of electrical and computer systems for autonomous vehicles and other advanced mobility applications
  • Development of advanced mobility applications for electric, hybrid and autonomous vehicles, transportation systems, artificial intelligence and robotics as it applies to mobility
  • Design of dynamic systems that work to enhance and support autonomous functionality
  • Robotics enhanced by artificial intelligence

CE-6423 | MOBILE ROBOTICS

Fundamentals of robotics with an emphasis on mobile robots, which are intelligent integrated mechanical, electrical and computational systems functioning in the physical world will be covered. Topics include state-of-the-art technologies in mobile robotics, such as locomotion, sensing, control, communication, localization, mapping, navigation, etc. Advanced topics such as 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 will also complete independent projects or research on current topics covering mobile robotics technologies and related fields.

MS in Engineering: Electrical & Computer Engineering-Advanced Mobility

  • GRE waiver available for Kettering undergraduates or students with a minimum 3.0 GPA from an ABET undergraduate school
  • 100% online – ideal for working professionals
  • Complete in as few as 24 months
  • Accredited by the Higher Learning Commission and a member of the North Central Association of Colleges and Schools
  • Ranked 14th nationally in non-PhD engineering programs in the 2018 U.S. News and World Report Best Colleges edition
  • Kettering University is ranked first in the Midwest and 19th nationally in PayScale.com’s 2017 return on investment rankings
  • #6 Best Regional Universities Midwest - U.S. News and World Report 2022-2023
  • #12 Best Colleges for Veterans - U.S. News and World Report 2022-2023

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CE-6523 | ARTIFICIAL INTELLIGENCE FOR AUTONOMOUS DRIVING

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

Master's Degree - Electrical Engineering & Computer Engineering - Advanced Mobility

The only program of its kind to equip graduates with skills for emerging industries like automotive engineering and advanced mobility.

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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 modeling and analysis of electric vehicle systems and components. Transient and steady state behavior of power electronic circuits using state space models is 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.

MS in Engineering: Electrical & Computer Engineering-Advanced Mobility Courses

Set yourself apart in this high demand industry and earn your MS Engineering-ECE-Advanced Mobility degree from Kettering University. The 30-credit MS Engineering-ECE-Advanced Mobility curriculum includes 10 courses consisting of 9 core courses and a capstone project.

CORE

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.

Earn an Electric Vehicle Certificate Along the Way

The online MS in Engineering -Electrical & Computer Engineering-Advanced Mobility curriculum includes 10 core courses including the 4 courses required for the Electric Vehicle Certificate:

ELECTRIC VEHICLE CERTIFICATE COURSES

  • ECE 6103 | Modeling of Dynamic Systems
  • ECE 6323 | Automotive Control Systems
  • ECE 6423 | Machine Drives for Electric Vehicles
  • EE 6263 | Power Electronics for Vehicle Electrification
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.

MS-ECE Advanced-Mobility Program - FAQ

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.

What are the domestic admissions requirements?
  •  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.
  • Resume
  • 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 8 hours of transfer credits may be available
  • No GRE or GMAT is required
MGMT 6203 | BUSINESS COMMUNICATION AND PRESENTATION

The ability to listen and craft well-written messages verbally, in writing, and within digital spaces are valued skills 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.

Is there a fee to apply at Kettering University Online?
No. there is no fee to apply at Kettering University Online.
What support do I receive as an online student?
To help close the distance gap, you have personal access to your professors through telephone, voice mail, email, fax and online bulletin boards and/or chat rooms. Professors provide office hours, during which you may contact them to ask questions or discuss course materials. You are assigned a personal Kettering University Online Professional Advisor to assist you with your program from enrollment through graduation. Technical support is also available.
ECE 6593 | INTEGRATIVE CAPSTONE PROJECT

This course is designed for students to create an MSE 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).

How long does it take to complete a Kettering University Online master’s degree program?
Kettering University Online works around your schedule. We have had students complete a master’s degree in less than a year, while others have taken five years. (You can complete an entire college course in just six to eight weeks, one course at a time, or more, as your schedule allows.) The average time to complete our master’s degree program is two years.