CertificateOn-CampusFull-Time, Part-Time

California State University, Sacramento

Graduate Certificate in Intelligent Systems

Sacramento, California1 years$8K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $8.1K in total tuition, the Graduate Certificate in Intelligent Systems sits roughly 29% below the $11.4K average for AI certificate programs in our database β€” placing it in the 44th percentile on cost among the 236 we track at this level.

Est. Salary$120,000
Job Growth+23%
Top RoleAI Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$8K total
Format
On-Campus
Schedule
Full-Time, Part-Time
GRE / GMAT
Not Required
Concentrations
Machine Learning, Tech

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. Coursework concentrates on Machine Learning and Tech. Most students complete it in about 1 year.

Estimated total tuition is $8.1K, below the $11.4K average for AI certificate programs in our database and in the 44th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Gain robotics skills to advance as AI Engineer in Cross-Industry AI Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

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+)

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