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This is your comprehensive digital program guide where you will find all the information you need regarding Kettering University's 100% online MS in Engineering: Electrical & Computer Engineering-Advanced Mobility.

Ready to get started? Schedule time with a friendly enrollment advisor to discuss program details, admission requirements, tuition, financial aid and more.

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WELCOME


This is your comprehensive digital program guide where you will find all the information you need regarding Kettering University's 100% online Master of Science in Electrical and Computer Engineering-Advanced Mobility.

Ready to get started? Schedule time with a friendly enrollment advisor to discuss program details, admission requirements, tuition, financial aid and more.

Schedule an Appointment

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MS-ECE Program Brochure

MS-ECE Program Brochure

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

The online Masters in Electrical and Computer Engineering from Kettering University will set you apart by building specialized skills in 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

Important Dates

 

Application Deadline: June 18, 2024

 

Next Start: July 1, 2024

 

Schedule an Appointment

 

Fast Facts

Program Features
  • 100% online
  • Multiple start dates per year
  • 30 credits; 10 courses
  • No GRE, GMAT or application fee
  • Earn a Graduate Certificate in Electric Vehicles along the way, increasing your marketability, qualifications and career potential
Admission 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
International Admissions Requirements

In addition to the Domestic requirements, International requirements also include:

  • International students are required to submit educational documentation to an evaluation service such as Educational Perspectives, which is a member of the National Association of Credential Evaluation Services (NACES). This will be at the expense of the student. Kettering University undergraduate students need not submit their Kettering transcripts but are required to submit transcripts from any other university.
  • International applicants whose native language is not English and who have not earned a bachelor’s degree from a U.S. institution are required to take the Test of English as a Foreign Language (TOEFL), International English Language Testing System (IELTS), MELAB (offered by the University of Michigan), or complete level 112 at an approved ELS center. Please have official scores sent to Kettering University’s Office of Admissions, Code 1246. Photocopies will not be accepted.

Our minimum score requirements are:

  • TOEFL: Paper-based: 550
  • Computer-based: 213
  • Internet-based: 79
  • IELTS: Minimum Band score of 6.0
  • MELAB: 76
Accreditation & Rankings

Kettering is accredited by the Higher Learning Commission and a member of the North Central Association of Colleges and Schools.

The MS-ECE program is nationally recognized for academic excellence.

  • Ranked 14th nationally in non-PhD engineering programs in the 2018 U.S. News and World Report Best Colleges edition
  • #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
Cost & Financial Aid

Tuition Cost is $990 per credit hour - financial aid and military benefits are available to those who qualify.

About Kettering University

Kettering University is a national leader in experiential STEM (science, technology, engineering and math) education, integrating an intense academic curriculum with applied professional experience. Through this proven approach, we inspire students to realize their potential and advance their ideas by combining theory and practice better than any institution in the world.

Curriculum

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.

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.

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.

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 | ADVANCED 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 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.

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).

Earn an Electrical Vehicle Certificate Along the Way

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

ELECTRIC VEHICLES 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

 

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