Online Education for Working Professionals
Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors.

Control Systems—Graduate Certificate

Control Systems

Apply feedback control laws to stabilize systems and achieve performance goals.

Control systems are ubiquitous among many science and engineering disciplines. Learn topics in modeling, analysis, simulation, and feedback control design of dynamic systems. Design in the frequency and time domains of linear and nonlinear systems. Mathematically model and analytically compare complex, dynamic processes. Join the field of control systems engineering.

3 courses in 3 semesters.

Department Mechanical Engineering-Engineering Mechanics
  Electrical and Computer Engineering
Admissions requirement Acceptance to the Graduate School.
Contact Wayne Weaver
  Michael Roggemann
Length 3 courses in 2-3 semesters
Effort 3 hours per credit per week
Each course 3 credits
Total credits 9
Course type Online or on-campus
Modality Watch class recordings on demand
Cost Based on credits and course type
Already enrolled? Speak with your advisor.

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Progress quickly with a compact curriculum.

Work with the program advisor to select courses that fit your interests and pre-requisite skills.

Check your preparation.

Here are some of the pre-requisite courses for this certificate.

Take a 3 credit required course.

Take one of the following.

Take 6 credits of elective courses.

Do not take both MEEM 5812 and EE 5812. Do not take both MEEM 6702 and EE 6702.

Check online offerings to see when courses are available.

The minimum completion time is two semesters.

Here is a typical schedule for a three-semester sequence.

Fall Spring
MEEM/EE 5715 MEEM/EE 6702
Fall  
EE 5500  

Interested in taking a single, online course? Enroll as a non-degree seeking student.

Upon completion of the Certificate the student should be able to:

  1. Mathematically model and analyze complex dynamic processes.
  2. Apply feedback control laws that are capable of stabilizing the system and achieving performance goals.

Michigan Tech was founded in 1885.

The University is accredited by the Higher Learning Commission and widely respected by fast-paced industries, including automotive development, infrastructure, manufacturing, and aerospace. Michigan Tech graduates deliver on rapid innovation and front-line research, leaning into any challenge with confidence.

The College of Engineering fosters excellence in education and research.

We set out as the Michigan Mining School in 1885 to train mining engineers to better operate copper mines. Today, more than 60 percent of Michigan Tech students are enrolled in our 17 undergraduate and 29 graduate engineering programs across nine departments. Our students and curriculum embrace the spirit of hard work and fortitude our founders once had. Our online graduate courses are the same, robust classes taken by our doctorate and masters candidates, taught directly by highly regarded faculty, with outstanding support from staff. We invite working professionals to join these courses, bring their own experience and challenges as part of the discussion. Leverage the national reputation of Michigan Tech to advance your career in tech leadership.

Meet the online certified instructors.

Students have the flexibility to review class recordings later.

Jeffrey Burl

Jeffrey Burl

Associate Professor, Electrical and Computer Engineering

Teaching Statement

Dr. Burl teaches courses in control systems, digital and non-linear control, and probability and stochastic processes.

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Gordon Parker

Gordon Parker

John and Cathi Drake Endowed Chair in Mechanical Engineering

Teaching Statement

Dr. Parker teaches courses in dynamic systems, control, robotics, and mechatronics, as well as linear and nonlinear system theory.

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Michael Roggemann

Michael Roggemann

Professor, Electrical and Computer Engineering

Teaching Statement

Dr. Roggemann teaches on sensing and processing in robotics, digital image processing, Fourier optics, and algorithms and optimizations.

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Timothy Schulz

Timothy Schulz

University Professor, Electrical and Computer Engineering

Teaching Statement

Dr. Schulz teaches courses in detection and estimation theory, math and computational methods in engineering, and electric circuits.

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Wayne Weaver

Wayne Weaver

Professor, Mechanical Engineering-Engineering Mechanics

Teaching Statement

Dr. Weaver teaches on propulsion systems for hybrid electric vehicles and linear systems theory and design.

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