AI Science M.S.

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Program Overview

The Master of Science in Artificial Intelligence Science is designed to educate independent technical thought leaders with a deep understanding of artificial intelligence (AI) from a computational perspective.  This graduate program, offering both hardware and software options is designed to produce senior level scientists and engineers who have deep algorithmic knowledge of AI, can design and develop multiple AI systems, and analyze their performance.

Admission Requirements

Applicants should hold a bachelor’s degree in a STEM or engineering field. The GRE is currently optional. International applicants must meet English proficiency requirements. 

No Computer Science prerequisite required: The program’s two 500-level bridge courses (ASE 510 and ASE 511) are designed so graduates from mathematics, physics, and engineering fields can enter directly.

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Degree Requirements

The M.S. in AI Science is a 30-credit degree program. This includes a 15-credit core with coursework specific to either a hardware or software focus. The program also includes a six-credit thesis or project experience, six credits in AI-specific electives and three credits in AI-related engineering electives.

The curriculum includes two introductory 500-level courses that reduce pre-requisite requirements, making the program accessible to mathematically mature individuals with a computing, engineering or STEM background, from various fields. 

For more information, visit the Syracuse University Course Catalog.

Why Choose AI Science at Syracuse University?

Build for working professionals
No CS prerequisite. Two 500-level bridge courses bring graduates from mathematics, physics, and engineering directly into the program without an additional year of prerequisites.

Industry-facing capstone
Two-semester capstone mirrors real project cycles and connects students with employers including Lockheed Martin, Saab, and Hidden Level.

Explosive, documented demand
U.S. AI job postings grew 144% YOY as of April 2026 vs. 7% overall (BPC / Lightcast). AI skills carry a 56% wage premium (PwC, 2025). 1.3 million U.S. AI openings; supply covers fewer than half.

Hardware and software both
Among the first graduate AI programs nationally to offer both software (NLP) and hardware specialization tracks.

Research path available
Students pursuing doctoral work or original research can elect the master’s thesis track, defended before a faculty panel per Graduate School standards.

56% wage premium for AI skills
PwC’s 2025 Global AI Jobs Barometer found workers with AI skills earn up to 56% more than peers in equivalent non-AI roles — making a focused AI graduate credential highly valuable.

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The exceptional faculty, innovative research opportunities, top-notch resources, and a nurturing environment made my journey truly invaluable.
Nandhini Ragagopal G'21
A woman