MS Engineering-ECE-Advanced Mobility

MS Engineering-ECE-Advanced Mobility

Drive the Future

Kettering University is shaping the future of automotive engineering and advanced mobility with a groundbreaking online program: the MS Engineering-Electrical and Computer Engineering-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


An overview of the expanding role of international business in the world marketplace is provided. Emphasis is placed on exploring the complex issues relating to the best practices in International Business. This course will use case studies to illustrate the major topics


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 classical techniques based on linear algebra, state-space representations, and the state transition matrix. 

MS Engineering-ECE-Advanced Mobility Fast Facts

  • 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’s 2017 return on investment rankings

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A comprehensive examination of different organizational behavior theories will be conducted including the analysis at individual, group and organizational levels. Individual levels include perception, personality, and motivation. Group levels will include decision making, group dynamics and team building. Organizational levels will include communications, empowerment, leadership, diversity and cross-cultural issues. Experiential activities will include class exercises such as case studies, videos, and survey instruments as well as team and individual assignments.


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 Engineering-ECE-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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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.


The performance of the financial management role in a firm is provided in this course. The first half of the course focuses on the theoretical valuation of stocks and bonds and the capital markets in which they are traded. The second half of the course focuses on both the use of financial leverage by the firm and working capital management. The need for financial managers to provide both ethical and legal leadership for the firm is stressed throughout the course.

We are Here to Help

We understand pursuing a master’s degree in electrical and computer engineering can be a big decision with many factors to consider. Our knowledgeable and supportive enrollment advisors are here to help guide your decision about our program offerings to achieve your career goals. 

By connecting with an Enrollment Advisor, you can expect to: 

  • Receive in-depth knowledge on the program and the admissions process
  • Benefit from having a 1-on-1 conversation to ensure the program fits your academic and professional goals
  • Learn more on how you could earn 2 degrees in 2 years
  • Receive a recommendation on which of our certificates align with your graduate degree and why
  • Be advised and assisted with putting together a strong file for the Admissions Committee to review

Schedule an Appointment


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 data, identify patterns and make predictions on new data. The major 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.


This course is an overview of the management of technology and its impact on contemporary organizational performance. The focus of the course is on the application of skills, and knowledge required of managers and professionals responsible for technology implementation in a product or service development environment. Concepts of cybersecurity and managing technology in the future are considered. Case studies and simulations are used to bring to life the critical challenges confronting managers of technology.

MS Engineering-ECE-Advanced Mobility Courses

Set yourself apart in this high demand industry and earn your MS Engineering-ECE-Advanced Mobility degree from Kettering University. The 40-credit MS Engineering-ECE-Advanced Mobility curriculum includes 10 courses consisting of 9 core courses and your choice of an elective.



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.


This course overviews information systems (IS) at two levels: the strategic role of IS and a process-oriented view of the organization and its relationships with suppliers, customers, and competitors. We view processes as vehicles for achieving strategic objectives and transforming the organization. The major focus of the course is how organizations implement processes globally using enterprise resource planning (ERP), supply chain management (SCM), customer relationship management (CRM) Product Lifecycle Management (PLM) and social networks. The course also provides a brief IS infrastructure overview and addresses key IS management topics. Students learn about the ethical and legal implications of information 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 may include anti-lock brakes, traction control, and vehicle stability control. Simulations will be used, and students will be using MATLAB/Simulink for many of the assignments.


Managing projects within an organizational context, including the processes related to initiating, planning, executing, controlling, reporting, and closing a project are covered in this course. Project integration, scope, time, cost, quality control, and risk management. Managing the changes in organizations resulting from introducing or revising information systems. Identifying project champions, working with user teams, training, and documentation. The change management role of the IS specialist.


Students may select any available Kettering University Online course.

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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 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.


Students are prepared for management positions in high tech and manufacturing companies. In this overview course, students will be introduced to the most important concepts and issues concerning the management and leadership of high technology staff. Subjects include high tech leadership and communication, change management, lean thinking, HR issues, ethics and persuasion.

Online Master of Science Electrical and Computer Engineering Career Outlook

Intense competition among companies and a skills gap have created tremendous demand for top engineering talent related to advanced mobility:

  • Salaries in the San Francisco Bay Area for self-driving car engineers, including annual bonuses and equity, averaged $295,000 in 2017 – Forbes

  • In 2017, 5,000 software and electronics positions in the auto industry were unfilled in the U.S. – The Fuse
  • Connected and autonomous vehicle workers are needed across 49 different occupations – from IT and cybersecurity to civil and transportation systems engineering – Industry Week 

A comprehensive examination of different leadership theories, with emphasis on relevant empirical evidence and application of the theories to case studies that involve leadership and group functioning are covered in this course. Students will thoroughly examine a professional review of concepts and apply their understanding through a variety of means. Ethics and persuasion are covered.