University of Central Oklahoma

How this program compares

Budget-wise, $34K puts this master's program at the 52nd percentile on cost — roughly 21% below the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Prerequisite coursework in linear algebra, statistics, algorithms, and OO design; GRE optional with recommended composite guidance on the program page.

About This Program

The MSDS pairs well with Buddy HPC narratives for students needing large-scale experimentation; coordinate international STEM paperwork with ISO using the conferring CIP on the I-20. Coursework concentrates on Machine Learning and Data Mining. Most students complete it in about 2 years.

End-to-end modeling and evaluation literacy.

At roughly $34K total, University of Central Oklahoma's MS in Data Science sits below the $42.9K average among AI master's programs we track — the 52nd percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 9 AI-related programs we track in Oklahoma, of which about 44% offer an online option. On price, it comes in higher than about 67% of the Oklahoma programs in our data, where typical tuition runs near $41.2K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $112,590 — actual offers vary..

Career Outcomes

The MS in Data Science at University of Central Oklahoma (Edmond, Oklahoma) is oriented toward Data Scientist hiring, with alumni reporting pay near $112,590 — actual offers vary.. Its focus on Machine Learning and Data Mining maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 35% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Data Scientist
• 2. Analytics engineer
• 3. Product data leads
• 4. PhD-bound researchers

What You'll Learn

• End-to-end modeling and evaluation literacy.
• Visualization and storytelling for technical stakeholders.
• Software engineering discipline for deployable pipelines.

Curriculum Highlights

Required themes include artificial intelligence, data visualization, data mining and statistical learning, and software engineering; linear algebra, statistics, data structures/algorithms, and object-oriented design prerequisites are explicit—see the Jackson College listing for admissions details.

Top Employers

Energy, logistics, aerospace, healthcare analytics, and SaaS employers across Oklahoma City and remote national teams.

Admissions

Admission to University of Central Oklahoma's MS in Data Science generally expects a bachelor's degree. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: Typically required—confirm
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions