Online Education for Working Professionals
Develop advanced skills in computer networking analysis.

Network and Communication Systems—Graduate Certificate

Network and Communication Systems

Use networks and communications systems in engineering applications.

Design computer communication systems for use in many industrial sectors, such as automotive, manufacturing, and power generation or distribution. Learn modern communication theory, wireless or digital communications, and wireless sensor networks. Advance the fields of autonomous systems and multi-level control function systems. A computer networking salary averages about $75,000 per year.

3 courses in 3 semesters.

Department Electrical and Computer Engineering
Admissions requirement Electrical engineering, computer engineering, mechanical engineering, computer science or related degree.
Contact Paul L. Bergstrom
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 9 credits of elective courses.

Take a maximum of three credits at the 4000-level.

The minimum completion time is two semesters.

Here is a typical schedule.

Fall Spring

6 credits of:

EE 4250
EE 4272
EE 5365
EE 5525

3 credits of:

EE 4250
EE 4272
EE 5527
EE 5726

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. Demonstrate knowledge of computer networking and communications systems.

Students receiving this certificate will have demonstrated the ability to solve open-ended problems in network and communications systems from fundamental principles, and be able to apply their solution to real world problems.

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.

Christopher Cischke

Christopher Cischke

Associate Teaching Professor, Electrical and Computer Engineering

Teaching Statement

Mr. Cischke teaches courses in hardware/software system integration, computer system engineering and performance, and computer networks.

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Jason Hiebel

Jason Hiebel

Adjunct Assistant Professor, Department of Computer Science

Teaching Statement

Dr. Heibel teaches concurrent computing.

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Aurenice Oliveira

Aurenice Oliveira

Associate Professor, Electrical and Computer Engineering

Teaching Statement

Dr. Oliveira teaches modern communication systems and connected and autonomous vehicles.

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Zhaohui Wang

Zhaohui Wang

Associate Professor, Electrical and Computer Engineering

Teaching Statement

Dr. Wang is interested in communications, signal processing, networks, and underwater acoustics.

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