Santa Clara University

How this program compares

Santa Clara University's MS in Artificial Intelligence lists about $56.4K total tuition — about 32% above the $42.9K AI master's average (73rd percentile in our data). It runs on a full-time, part-time schedule (on-campus).

Admission Snapshot

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. Most students complete it in about 2 years.

Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $120,000.

Design and implement machine learning models for predictive analytics.

Budget planners should note $56.4K estimated total tuition (73rd percentile among AI master's programs, above the $42.9K average). Applicants should weigh that premium against the program's outcomes and brand.

It is one of 65 AI-related programs we track in California, of which about 37% offer an online option. On price, it comes in higher than about 56% of the California programs in our data, where typical tuition runs near $63.3K.

Career Outcomes

The MS in Artificial Intelligence at Santa Clara University (Santa Clara, California) is oriented toward Robotics Engineer hiring, with alumni reporting pay near $120,000. Its focus on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Santa Clara University's MS in Artificial Intelligence generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions