San José State University

How this program compares

At an estimated $33.7K in total tuition, the MS in Artificial Intelligence sits roughly 20% below the $42.4K average for AI master's programs in our database — placing it in the 52nd percentile on cost among the 532 we track at this level.

Admission Snapshot

Typical admitted student: A bachelor’s degree in computer science, computer engineering, or a related field is expected. Applicants prequalify through Engineering Extended Studies, and the GRE is not required for the professional cohort.

About This Program

San José State University’s MS in Artificial Intelligence is a 33-unit professional master’s delivered as an evening cohort through Engineering Extended Studies in the heart of Silicon Valley. The industry-led curriculum builds advanced skills in machine learning, deep learning, and autonomous systems, and is structured so working professionals can take one course at a time while staying employed. Coursework concentrates on Machine Learning and Autonomous Systems. Most students complete it in about 2 years.

Estimated total tuition is $33.7K, below the $42.4K average for AI master's programs in our database and in the 52nd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

It is one of 83 AI-related programs we track in California, of which about 41% offer an online option. On price, it comes in cheaper than about 67% of the California programs in our data, where typical tuition runs near $64.6K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $150,000.

Career Outcomes

Graduates of the MS in Artificial Intelligence at San José State University most often target Machine Learning Engineer roles, where reported compensation runs around $150,000. Its focus on Machine Learning and Autonomous Systems maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 35% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Engineer
• 3. Data Scientist
• 4. Applied Scientist

What You'll Learn

• Build and evaluate machine learning and deep learning models (CMPE 257, CMPE 258).
• Engineer AI data pipelines and apply mathematical foundations for data-driven decisions.
• Develop intelligent autonomous systems and reinforcement learning agents.
• Apply AI methods to real industry problems through an applied, cohort-based curriculum.

Curriculum Highlights

Core coursework covers AI and data engineering (CMPE 252), machine learning (CMPE 257), and mathematical foundations for decision and data sciences (ISE 201), with specialization options in autonomous systems such as deep learning (CMPE 258) and reinforcement learning (CMPE 260).

Top Employers

Graduates are positioned for roles at Silicon Valley employers including Apple, Google, NVIDIA, Cisco, and Adobe.

Admissions

Admission to the MS in Artificial Intelligence at San José State University generally expects a bachelor’s. The GRE is not required 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: Optional
• Resume: Recommended
• Transcripts: Official transcripts required

Frequently Asked Questions