An independent directory of US data science degrees
Independent directory · datasciencedegrees.net
Explore bachelor's, master's, and PhD programs across the United States. Compare schools, online options, tuition, admissions, and funding.
BS and BA degrees in data science and joint majors such as Statistics and Data Science, with first-year, transfer and completion routes as published.
74 verified programs
MS in Data Science, Master of Data Science and applied degrees — prerequisites, GRE policy, tuition basis and format for each.
102 verified programs
Doctoral programs whose degree names data science, with the funding each program actually publishes.
19 verified programs
Online Data Science Degrees
45 verified online programs at 40 universities. 40 carry the verified Fully online badge; the rest list every in-person requirement the university publishes, or say plainly that it is not published.
41 verified online master's programs, compared on tuition basis, attendance rules, GRE policy and deadlines.
Editorial selections
Selected against published criteria with evidence for every entry — not sold, not numbered, not based on reputation surveys.
Recently verified profiles. Shown for discovery — not ranked.
Data Science, BS
Online Bachelor of Science in Data Science
1. Find the degree
Candidates come from IPEDS completions data, university catalogs and program pages. We confirm the awarded degree names data science.
2. Quote the source
Every fact — format, credits, tuition, deadlines, funding — is recorded with the official page and a verbatim quote.
3. Re-check it live
A script re-fetches each page and finds the quote before anything is published. 909 fact groups are live today.
4. Show what's missing
Unpublished information stays “Not published”. Missing GRE information never means “no GRE”, and missing tuition never means free.
Editorial methodology · Data sources and verification · Suggest an update
Which published requirements matter if your bachelor's is not in computer science, how bridge courses and performance-based admission work, and how to prepare a convincing application.
How a PhD in Data Science differs from joint statistics or computing PhDs and related doctorates with a data science focus, and how to compare research fit, structure, credits and funding.
How to read data science tuition: per-credit, per-term and whole-program prices, resident vs nonresident rates, fees, estimating the total, and the basics of federal aid.
What data science master's programs ask for: degree, GPA, prerequisites, GRE policy, letters, statements, English tests and deadlines, and how to read the wording on admissions pages.
How data science master's programs describe their calculus, linear algebra, probability and statistics prerequisites, with real program wording and ways to fill gaps before you apply.
How online and on-campus data science degrees differ: fully online vs required attendance, live vs self-paced classes, the diploma, visas and the states a program can enroll from.