This directory includes 238 Machine Learning 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 Machine Learning 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.

Yes — online programs from accredited universities are generally as well-regarded as on-campus equivalents, especially for working professionals. Employer recognition depends primarily on the institution's reputation and accreditation, not the delivery format. Programs from flagship state universities and nationally ranked schools carry strong employer recognition regardless of online status.

The average cost of a Machine Learning master's program ranges from $20,000 to $75,000 depending on the institution, residency status, and format. Online programs at public universities are typically most affordable ($20,000–$35,000 total). Private university programs range from $45,000–$80,000.

Most Machine Learning 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 Machine Learning master's degree qualify for a wide range of professional roles. Specific career paths depend on your specialization and the program's industry connections. Starting salaries vary significantly by field, geographic market, and employer type.