This directory includes 158 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.

Online Machine Learning master's programs typically cost $18,000–$45,000 in total tuition — often less than their on-campus equivalents because many charge a flat per-credit rate regardless of residency and carry no relocation or campus-fee costs. Public-university online options are usually the most affordable; verify per-credit pricing and any technology fees on each program page.

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.

An online Machine Learning master's from an accredited university carries the same degree title and career value as an on-campus one — employers see the institution, not the delivery format. Graduates move into the same professional roles, and the flexible schedule lets many advance in a current job while they study. Outcomes depend most on your specialization, portfolio, and the school's reputation.