CertificateOn-CampusPart-Time

Rutgers, The State University of New Jersey

Machine Learning for Electrical & Computer Engineers Certificate

New Brunswick, New Jersey1 years$11K total tuition
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Est. Salary$130,000 AI/ML Research Engineer
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree in engineering or computer science
Duration
1 year
Est. Tuition
$11K total
Format
On-Campus
Schedule
Part-Time
GRE / GMAT
Required
Concentrations
Deep Learning, Machine Learning

Typical admitted student: Applicants must hold a bachelor's degree in electrical engineering, computer engineering, computer science, or a closely related field with demonstrated coursework in linear algebra, calculus, and programming. Strong mathematical and programming foundations are essential for success in the program.

About This Program

This certificate provides a systematic introduction to machine learning, focusing on technical foundations and the use of statistical methods.

Career Outcomes

Gain deep learning skills to advance as Machine Learning Engineer in Engineering AI

  • 1. Machine Learning Engineer
  • 2. AI Research Engineer
  • 3. Computer Vision Specialist
  • 4. Autonomous Systems Engineer

What You'll Learn

  • Design and implement machine learning models for signal processing, image recognition, and autonomous systems
  • Apply deep learning architectures to solve complex engineering problems in real-world applications
  • Develop proficiency in machine learning frameworks and tools commonly used in industry and research
  • Evaluate model performance, manage computational efficiency, and deploy ML solutions in embedded and distributed systems

Curriculum Highlights

Coursework covers theoretical and practical machine learning aspects using Python, including written assignments and hands-on Jupyter Notebook projects.

Top Employers

Top employers include technology companies like Google, Tesla, NVIDIA, and Intel, as well as aerospace firms such as Boeing and Lockheed Martin, automotive companies developing autonomous vehicles, and defense contractors investing in AI systems.

Admissions

Applicants must hold a bachelor's degree in electrical engineering, computer engineering, computer science, or a closely related field with demonstrated coursework in linear algebra, calculus, and programming. Strong mathematical and programming foundations are essential for success in the program.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • Resume: Required
  • Transcripts: Official transcripts required
  • Portfolio or coding samples: Optional but recommended

Academic Requirements

  • Degree Required: Bachelor's degree in engineering or computer science
  • GRE/GMAT: Optional (may strengthen applications with non-traditional backgrounds)
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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