California State University, Sacramento

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required; relevant technical background or programming experience is often preferred.

About This Program

This post-graduate certificate focuses on the theoretical foundations and engineering applications of intelligent systems in robotics and autonomous platforms.

Career Outcomes

Gain robotics skills to advance as AI Engineer in Cross-Industry AI

• 1. AI Systems Engineer
• 2. Machine Learning Specialist
• 3. Robotics Software Developer
• 4. Intelligent Systems Analyst

What You'll Learn

• Design and implement machine learning models for intelligent decision-making.
• Develop neural networks for pattern recognition and prediction tasks.
• Integrate AI algorithms into autonomous systems and robotics.
• Apply ethical principles to intelligent system deployment and evaluation.

Curriculum Highlights

The multi-course sequence covers intelligent agents, data mining, and neural network prototyping, concluding with a systems-level design project and oral defense.

Top Employers

Top employers include tech companies like Google, Microsoft, NVIDIA, and defense contractors such as Lockheed Martin.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required; relevant technical background or programming experience is often preferred.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)