The University of Oklahoma offers a 100% online Master of Science in Data Science and Analytics through the Gallogly College of Engineering and Data Science and Analytics Institute. The 33-credit program covers machine learning, advanced analytics, big data engineering, statistical modeling, databases, and data-driven decision-making.
Quick Facts
| School | University of Oklahoma |
| Location | Norman, Oklahoma |
| Degree | M.S. in Data Science and Analytics |
| Credits | 33 credits |
| Format | 100% Online |
| Tuition and Fees | $33,495 total ($1,015 per credit) |
| Length | 24+ months for full-time students |
| ML/AI Focus | Machine learning, intelligent data analytics, predictive modeling, big data, and AI |
Curriculum
OU’s Data Science and Analytics Institute describes a technical curriculum built across data science, computer science, and industrial and systems engineering. The online degree includes 24 credit hours of core coursework and 9 credit hours of electives.
- Computing Structures — 5 credits
- Algorithm Analysis — 3 credits
- Advanced Analytics and Metaheuristics — 3 credits
- Fundamentals of Engineering Statistical Analysis — 3 credits
- Database Management Systems — 3 credits
- Intelligent Data Analytics — 3 credits
- Professional Practice — 4 credits
- Approved electives — 9 credits
The institute also offers coursework in Machine Learning for Data Science, Big Data Engineering, Applied Data Science, data visualization, Python, R, econometrics, and other data science topics.
Credits and Program Length
The online M.S. requires 33 credit hours. OU states that a full-time student can complete the program in 24+ months. The published sample sequence spreads the degree across six semesters, including summer study.
Tuition and Cost
OU Online lists tuition and fees for this program at $1,015 per credit hour. At 33 credits, the published program total is $33,495. Books and additional materials are not included.
OU’s 2026-27 Bursar rates list separate standard Norman-campus graduate tuition and fees. The fixed online program price above is the more useful figure for students entering this specific online degree.
Admissions
Applicants need a completed bachelor’s degree with a 3.0 GPA. OU also expects prior coursework in Calculus I, Calculus II, Linear Algebra, and two semesters or one year of a high-level programming language, with Java or C++ preferred.
The institute’s admissions information also lists official transcripts, a statement of purpose, a resume, and two letters of recommendation. International applicants may need to meet OU’s English-language testing requirements.
Machine Learning, AI, and Data Science Focus
This program clearly fits MastersInMachineLearning.org. OU identifies machine learning and artificial intelligence as program outcomes, and students develop skills in machine learning, optimization, predictive modeling, big data, data mining, data engineering, and advanced analytics.
The degree is broader than a dedicated artificial intelligence master’s. Its main emphasis is data science and analytics, but machine learning is a substantial part of the technical training. Students who want an AI-only curriculum may prefer OU’s separate M.S. in Applied Artificial Intelligence, while this program is better suited to students who want machine learning within a wider data science foundation.
Online Format
OU classifies this version of the degree as 100% online. The university lists fall, spring, and summer start dates and estimates a weekly time commitment of about 10 to 20 hours. OU also offers Data Science and Analytics study on campus or through a combination of online and campus coursework, but this profile focuses on the fully online M.S.
Professional Practice and Research Options
The online 33-credit curriculum includes a 4-credit Professional Practice requirement. OU’s broader Data Science and Analytics program also lists a 30-credit thesis option with six research credits for students following the thesis pathway. Prospective online students should confirm with the institute whether the thesis option is available within their intended online course plan.
Who Is This Program Best For?
Best for: working professionals who want a fully online data science master’s with meaningful machine learning coursework; students who want training across programming, statistics, databases, analytics, and big data; and applicants who prefer a structured 33-credit engineering program with a published total online price.
Bottom Line
The University of Oklahoma’s online M.S. in Data Science and Analytics is a strong fit for students who want a broad data science degree with substantial machine learning content. The program requires 33 credits, takes 24+ months for full-time students, and costs $33,495 in tuition and fees at the currently published online rate. Its strongest feature is the combination of machine learning and intelligent analytics with statistics, databases, big data, and professional practice.
Related Programs
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