University of Central Oklahoma

What you'll study

The programme combines core topics in computer science and advanced mathematics, allowing students to tailor study toward applied or theoretical pathways. Students follow a mix of required core courses and elective options, and choose between a thesis, project or coursework-only route to completion.

• Core computer science topics: algorithms and data structures, software engineering and design, operating systems, databases, and programming language concepts.
• Core mathematics topics: advanced calculus/real analysis, linear algebra, discrete mathematics and numerical methods important for computation.
• Typical electives: machine learning and data mining, artificial intelligence, computer networks and security, cryptography, computational geometry, numerical analysis, graph theory and combinatorics.
• Capstone options: an independent research thesis under faculty supervision, an applied project with a practical or industry focus, or an extended coursework plan culminating in comprehensive exams.
• Practical experience: opportunities for software development practicum, internships with regional employers, and participation in faculty-led research labs.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in computer science, mathematics or a related discipline from an accredited institution. Candidates who have a strong quantitative background but a different undergraduate major may be admitted conditionally, often with specified prerequisite coursework.

• Academic transcript: official transcripts demonstrating relevant undergraduate coursework in mathematics and computing.
• Letters and statements: letters of recommendation and a personal statement outlining academic and professional goals.
• English language proficiency: for international applicants, proof of English proficiency is required (accepted tests and minimum scores follow university policy).
• Additional materials: some applicants may be asked to submit a résumé/CV, samples of academic or programming work, and documentation of prerequisite courses; graduate entrance tests are considered according to department policy.

Career prospects

Graduates build careers across technology, research and education sectors. The programme’s blend of mathematics and computing produces professionals equipped for roles that require strong analytical and programming skills.

• Software engineer or developer
• Data scientist, data analyst or machine learning engineer
• Systems analyst, database administrator or network engineer
• Cybersecurity analyst or cryptography specialist
• Research positions and doctoral study in mathematics or computer science
• Secondary and community college teaching in mathematics or computing (where licensed or appropriate)

Why study at University of Central Oklahoma

The University of Central Oklahoma offers a supportive, student-focused environment with access to faculty who are active in both teaching and applied research. Class sizes tend to be smaller than at large research universities, which promotes close faculty mentoring and collaborative projects.

• Practical connections: proximity to the Oklahoma City region provides internship and employment links with local technology firms, government agencies and industry partners.
• Flexible delivery: graduate courses are available in formats that accommodate working students, including evening and online options dependent on course and term.
• Research and labs: students can engage with departmental research initiatives or pursue applied projects in computing and computational mathematics.
• Financial support: opportunities for graduate assistantships, tuition support and departmental scholarships may be available to qualified students.