MasterOn-CampusFull-Time, Part-Time

Santa Clara University

MS in Artificial Intelligence

Santa Clara, California2 years$56K 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 $56.4K in total tuition, the MS in Artificial Intelligence sits about 33% above the $42.4K average for AI master's programs in our database β€” placing it in the 74th percentile on cost among the 531 we track at this level.

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

Admission Snapshot

Degree Required
Bachelor's degree
Duration
2 years
Est. Tuition
$56K total
Format
On-Campus
Schedule
Full-Time, Part-Time
GRE / GMAT
Required
Concentrations
Artificial Intelligence & Machine Learning, AI Engineering / Applied AI

Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or equivalent and calculus/linear algebra prerequisites.

About This Program

Located in Silicon Valley, this master's degree blends technical training with ethical considerations, preparing graduates to build and lead responsible, industry-ready artificial intelligence systems. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

Estimated total tuition is $56.4K, above the $42.4K average for AI master's programs in our database and in the 74th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Thrive as Robotics Engineer in Engineering AI with machine learning expertise Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $120,000.

Career Outcomes

Thrive as Robotics Engineer in Engineering AI with machine learning expertise

  • 1. Machine Learning Engineer
  • 2. AI Research Scientist
  • 3. Data Scientist
  • 4. AI Software Developer

What You'll Learn

  • Design and implement machine learning models for predictive analytics
  • Develop deep neural networks for complex pattern recognition
  • Apply natural language processing techniques to text and speech data
  • Build ethical AI systems addressing bias and fairness

Curriculum Highlights

The dual-track curriculum offers concentrations in either Computer Science and Engineering or Electrical and Computer Engineering, covering robotics, natural language processing, and computer vision.

Top Employers

Top employers include Google, Meta, Amazon, Microsoft, and AI-focused startups in Silicon Valley.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or equivalent and calculus/linear algebra prerequisites.

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: Optional
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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