This directory includes 150 Deep Learning Graduate programs from accredited universities across the United States. Programs are updated regularly. Use the filters above to narrow by state, format, and cost.

GRE requirements vary by program. Many Deep Learning Graduate programs have dropped the GRE requirement since 2020. Filter by "No GRE" in the options above to see programs that waive the GRE, or contact each program admissions office directly for current requirements.

The average cost of a Deep Learning Graduate master's program ranges from $20,000 to $75,000 depending on the institution, residency status, and format. In-state public university tuition is typically most affordable, while private and out-of-state programs sit at the higher end. Factor in campus fees and living costs alongside tuition.

Most Deep Learning Graduate master's programs take 1.5–2 years of full-time study (30–48 credits). Accelerated programs can be completed in 12 months; part-time programs for working professionals take 2–3 years.

Graduates with a Deep Learning Graduate master's degree qualify for a wide range of professional roles, and on-campus study adds in-person recruiting events, research assistantships, and local employer pipelines. Specific career paths depend on your specialization and the program's industry connections; starting salaries vary by field, geographic market, and employer type.