Online Graduate Certificate in Engineering Applications of Artificial Intelligence

About

The online Graduate Certificate in Engineering Applications of Artificial Intelligence deepens your expertise at the intersection of engineering and artificial intelligence. This program equips you with the knowledge and hands-on skills to analyze data, design intelligent systems, and apply modern AI tools to real-world engineering challenges. 

Program Learning Outcomes

  • Gain sufficient knowledge of AI methods for developing engineering applications based on modern AI tools.
  • Develop skills in analyzing and processing data, as well as in designing, implementing, and testing AI methods using tools such as MATLAB and Python.
  • Establish the suitability and validation of AI methods for engineering applications.

Admissions

We have rolling admissions, meaning you can apply and be accepted at any time. The admission evaluation process begins once we’ve received all of your application materials.

A maximum of one course, or 3 credits, at the 500-level may be transferred from outside the University of Maine to the program for credit.

  • A completed bachelor’s degree or an ongoing bachelor’s degree in a STEM field from an accredited college/university with a minimum GPA of 2.5 on a 4.0 scale
  • One college-level course in each of the following areas:
    • Calculus III (MAT 228 or equivalent)
    • Statistics and Probability (STS 132, STS 235, STS 332, STS 434, ECE 316, CHE 350 or equivalent)
    • Engineering-Level Software Programming such as C/C++, MATLAB, or Python (ECE 177, ECE 277, MEE 125, CIE 115, PHY 241, COS 125 or equivalent)

Before you apply, please review the application instructions. When you’re ready to apply, please submit the following:

  • Online application
  • Current resume or CV
  • Official academic transcripts from all institutions attended
  • A 300-500 word essay based on the following prompt

Careers

A Graduate Certificate in Engineering Applications of Artificial Intelligence (AI) positions you for specialized, high-demand roles at the intersection of engineering, data science, and intelligent systems.

Possible career paths include: 

  • AI Engineer / Machine Learning Engineer
  • Robotics Engineer
  • Data Scientist / AI Data Analyst
  • Automation Engineer / Intelligent Systems Engineer
  • Predictive Maintenance or Reliability Engineer
  • Digital Twin Engineer / Simulation Engineer
  • Research and Development (R&D) Engineer
  • Computational Engineer / Simulation Data Specialist

Curriculum

Course assignments will use Python or MATLAB. Students with extensive programming experience in a different language, such as C/C++, Java, JavaScript/Perl/R, or R, should familiarize themselves with Python and MATLAB before their first course.

The following courses are required (6 credits):

  • ECE 591: Deep Learning (3 credits)
  • ECE 590: Neural Networks (3 credits)
    OR COS 570: Topics in Artificial Intelligence (3 credits)

Choose two courses from the following (6 credits):

  • COS 575: Machine Learning (3 credits)
  • ECE 517: Mobile Robotics (3 credits)
  • ECE 598: Selected Topics in Electrical and Computer Engineering: Cyber-Physical Systems (3 credits)
  • ECE 598: Selected Topics in Electrical and Computer Engineering: Data Engineering (3 credits)
  • MEE 559: Engineering Optimization (3 credits)
Person using a tablet in an engineering lab

At a Glance

UMaineOnline

Maine College of Engineering & Computing


Degree Level

Graduate Certificate

Degree Earned

Graduate Certificate in Engineering Applications of Artificial Intelligence

Application Deadline

Rolling Admissions

Mode of Study

Online

Number of Credits

12 Credits

UMaineOnline

Maine College of Engineering & Computing


Degree Level

Graduate Certificate

Degree Earned

Graduate Certificate in Engineering Applications of Artificial Intelligence

Application Deadline

Rolling Admissions

Mode of Study

Online

Number of Credits

12 Credits

Cost Per Credit Hour

E-Rate

$780

Photo of Beth Royston

Contact

Beth Royston, M.S.

UMaineOnline Advisor

umaine.edu/online

P

207.581.4581