The Master of Science in Artificial Intelligence degree provides an advanced set of foundational skills preparing students to work in a field with applications across industries. The program's industry-led curriculum has a broad focus and covers the principles and technologies that underlie Artificial Intelligence (AI), including logic, regression, and machine learning (ML).

The number of industries that are implementing AI grew 270 percent in the past four years and tripled in the past year, according to the Gartner, Inc. 2019 CIO Survey. Many large corporations and startups in the Bay Area are rapidly looking to fill these positions, presenting graduates with many career options. Self-driving cars, robotic assistants, automated disease diagnosis, and Google search algorithms are just some of the many applications of AI.

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Program Features

1. Outstanding Faculty
   Industry leaders and academic experts offer a wide range of practical knowledge and industry experience.
2. Flexible Schedule for Working Professionals
   Conveniently scheduled evening and weekend classes that fit your work schedule.
3. Cohort
   A cohort experience that enables a deeper and wider exchange of knowledge and networking with peers.

Your Career Opportunities

This program prepares students for exciting careers as data scientists, data engineers, AI/ML engineers, AI research engineers, AI architects, AI compiler engineers, automation engineers, AI software engineers, AI application engineers, applied deep learning engineers, AI solutions engineers, as well as other traditional science and engineering career paths depending on a given student’s original science and engineering background.

Applying to the Program

Check the admission requirements and make sure you meet the criteria. Prospective students are encouraged to complete a prequalification form so that a faculty advisor can review and determine your suitability for the program.

Applicants are required to meet the following:

• Undergraduate degree in math, physics, computer science, engineering, or a closely related field, equivalent to a four-year U.S. undergraduate baccalaureate degree, with demonstrated college-level courses in programming, data structures, algorithm design, three-semester sequence of calculus, linear algebra and statistics.
• Undergraduate GPA of 3.0 or higher.

Program Deadlines

Fall 2023 Application Deadline	Fall 2023 Document Deadline
June 1, 2023	June 20, 2023