CA

Certificates in AI
On-Campus

California State University, Sacramento

Graduate Certificate in Intelligent Systems

  • Sacramento
About This Program

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

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What You'll Learn

Students will develop skills in neural networks, fuzzy inference, evolutionary computation, and the design of rule-based systems to solve complex engineering challenges.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
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Typical Curriculum Structure
The multi-course sequence covers intelligent agents, data mining, and neural network prototyping, concluding with a systems-level design project and oral defense.
Typical Course Topics
1. Machine Learning Fundamentals 2. Artificial Intelligence Algorithms 3. Neural Networks and Deep Learning 4. Intelligent Systems Design 5. Robotics and Autonomous Agents 6. AI Ethics and Decision Making
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

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

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Systems Engineer 2. Machine Learning Specialist 3. Robotics Software Developer 4. Intelligent Systems Analyst
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Microsoft, NVIDIA, and defense contractors such as Lockheed Martin.
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Program Details
Duration
  • 1 Year
Tuition
  • 8,064
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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