University of Central Oklahoma

What you'll study

The programme combines core computing theory with hands-on practice. Typical areas covered include programming and software development, data structures and algorithms, operating systems, computer networks, database design and administration, cybersecurity principles, web and mobile application development, and data analytics. Students usually follow a mix of required core courses, concentration or elective options, general education requirements, and a culminating experience such as a senior project or capstone.

• Core programming and software engineering: introductory and advanced programming, software design, testing and maintenance.
• Systems and infrastructure: operating systems, computer architecture, networking fundamentals and network administration.
• Data and information management: relational databases, SQL, data modelling and introductory data analytics.
• Security and privacy: fundamentals of cybersecurity, secure coding practices and risk management.
• Applied and elective topics: web and mobile development, human–computer interaction, cloud computing, machine learning foundations and specialised electives depending on interests and faculty offerings.
• Capstone and experiential learning: team-based senior projects, internships or cooperative placements with industry partners to apply classroom learning to real-world problems.

Structure

The degree follows a semester-based undergraduate structure with a combination of lecture, laboratory and project-based courses. Students complete general education requirements alongside major coursework and typically choose electives or a concentration area. Opportunities for undergraduate research, internships and participation in computing student organisations are encouraged throughout the programme.

Entry requirements

Applicants are normally expected to hold a high school diploma or equivalent with a record of strong performance in mathematics. Typical academic prerequisites include algebra and precalculus; coursework in calculus and computer science at high-school level is advantageous. Admission criteria may consider overall high school GPA and, where applicable, college preparatory coursework.

Transfer applicants should provide official college transcripts; admission decisions generally take prior college performance into account and some credit may be awarded for relevant coursework. International applicants must demonstrate the academic equivalence of their secondary qualifications and meet English language proficiency requirements through recognised tests or approved alternatives. Specific admissions policies, placement testing in mathematics, and any optional standardised test submission policies are provided by the university admissions office.

Career prospects

Graduates are prepared for a wide range of entry-level and early-career roles across the technology sector and in organisations that rely on IT. Common career paths include software developer, web or mobile application developer, systems or network administrator, database administrator, cybersecurity analyst, IT support specialist, business systems analyst and data analyst. The practical and project-based elements of the programme also position graduates to pursue internships, technology consulting roles, or further study such as master’s degrees in computer science, information systems or related disciplines.

Why study at University of Central Oklahoma

The University of Central Oklahoma offers a programme designed with an emphasis on applied learning and close faculty interaction. Students benefit from laboratory facilities, opportunities for internships and local industry connections in the Oklahoma City metropolitan area. Smaller class sizes make it easier to work directly with instructors on projects, while student organisations and computing clubs provide networking, hackathons and competition experience. Career services and practicum opportunities help students transition from the classroom to employment or graduate study in computing and information sciences.