Oklahoma Christian University offers a Master of Science in Computer Science (MSCS) with an Artificial Intelligence emphasis that gives graduate students a direct path into machine learning, intelligent systems, and applied AI projects. The 30-credit program also includes core work in algorithms, software engineering, and artificial intelligence. OC says students can finish the degree in as little as one year, while the graduate school describes a typical completion range of one to two years.
Quick Facts
| School | Oklahoma Christian University |
| Location | Edmond, Oklahoma |
| Degree | Master of Science in Computer Science |
| Credits | 30 |
| Format | Campus |
| Tuition | $18,750 for 2026–27 |
| Length | As little as 1 year; 1–2 years is the school’s broader planning range |
| AI / ML Focus | Artificial Intelligence emphasis with Machine Learning, Intelligent Systems, and two AI project courses |
Curriculum
The official degree requirements divide the 30-credit MSCS into 12 credits of computer science foundation courses, 6 credits of electives, and 12 credits in the selected emphasis.
The foundation includes Foundations of Technology Ethics and Values, Algorithm Analysis, Object-Oriented Software Engineering, and Artificial Intelligence.
Students in the Artificial Intelligence emphasis complete Machine Learning, Intelligent Systems, Artificial Intelligence Project I, and Artificial Intelligence Project II. This gives the program a much stronger AI connection than a general computer science master’s with only one AI elective.
OC’s published degree requirements also list Data Science, Cybersecurity, and Software Engineering emphases. The Data Science emphasis includes Big Data Management, Data Science Project I, Data Science Project II, and Machine Learning.
Credits and Program Length
The MSCS requires 30 graduate credits for students who enter with an appropriate computer science background. Oklahoma Christian says the degree can be completed in as little as one year. Its Graduate School of Engineering & Computer Science describes its graduate programs more broadly as taking one to two years, so students who take a lighter course load should plan for the longer end of that range.
Tuition and Cost
For the 2026–27 academic year, Oklahoma Christian publishes MSCS tuition of $625 per credit. At 30 credits, the university lists total program tuition of $18,750. The graduate tuition page also lists a $25 application fee and $125 graduation fee; books and course-related fees vary. These additional costs are not included in the $18,750 tuition figure.
International students pay an additional $25-per-credit administrative fee and must purchase OC student health insurance. Students who need prerequisite leveling courses may also have additional tuition costs.
Admissions
The Graduate School of Engineering & Computer Science admission requirements state that MSCS applicants should hold a bachelor’s degree in computer science. Applicants from other academic backgrounds can still be considered based on their college and professional experience.
Applicants need a cumulative undergraduate GPA of at least 2.5. GRE scores from the previous five years are required unless the applicant has at least a 3.0 undergraduate GPA or five or more years of documented engineering or computer science work experience.
Students without sufficient computer science preparation may receive a leveling plan. OC offers four online, three-credit leveling courses covering computer science concepts, object-oriented programming, data structures and algorithms, and database systems. The number required depends on the student’s prior coursework and professional experience.
Machine Learning and AI Focus
The Artificial Intelligence emphasis makes Oklahoma Christian a strong fit for this directory. Every student in the AI emphasis takes a dedicated Machine Learning course plus Intelligent Systems and two sequential AI project courses. Students also complete Artificial Intelligence as part of the common MSCS foundation.
The two AI project courses are especially useful because they add an applied component to the specialization rather than limiting the curriculum to lecture-based AI coursework. Students who prefer a data-centered path can choose the Data Science emphasis, which also requires Machine Learning.
Campus Format
We classify the MSCS as a Campus program. Oklahoma Christian specifically directs F-1 students to the on-campus MSCS, and the university does not describe the full degree as a 100% online program. Some leveling courses are available online, but that does not make the graduate degree itself an online program.
AI Projects and Other Emphases
The AI emphasis ends with Artificial Intelligence Project I and Artificial Intelligence Project II, giving students a two-course project sequence. Students can also choose published emphases in Data Science, Cybersecurity, or Software Engineering, which makes the MSCS useful for students who want a broader computer science degree while still having access to machine learning and AI coursework.
Who Is This Program Best For?
- Students who want a 30-credit computer science master’s with a defined Artificial Intelligence emphasis.
- Students who want required coursework in machine learning, intelligent systems, and applied AI projects.
- Applicants without a computer science bachelor’s degree who are willing to complete assigned leveling courses.
- Students who prefer a campus-based program in the Oklahoma City metro area and want the option to finish in roughly one to two years.
- Students comparing relatively affordable private-university options, with published 2026–27 tuition of $18,750 before variable fees and books.
Bottom Line
Oklahoma Christian University is a clear fit for MastersInMachineLearning.org. Its MS in Computer Science offers a dedicated Artificial Intelligence emphasis with required machine learning coursework, intelligent systems, and a two-course AI project sequence. The program is also compact at 30 credits, publishes a clear 2026–27 tuition price of $18,750, and can be completed in as little as one year.
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