University of Tulsa

What you'll study

The programme combines a core of computing and mathematical fundamentals with applied courses in information systems, data management and software development. Early study focuses on programming, discrete mathematics, data structures and computer organisation; later years emphasise operating systems, databases, networks, software engineering, cybersecurity and elective topics such as machine learning, human–computer interaction and data analytics.

• Foundations: introduction to programming, discrete mathematics, calculus or applied mathematics, and computer architecture.
• Core computing: data structures and algorithms, operating systems, database systems, computer networks and software engineering.
• Information sciences: information retrieval, data modelling, systems analysis and design, and information assurance.
• Applied and elective topics: web and mobile development, data analytics and visualisation, machine learning, cybersecurity and human–computer interaction.
• Capstone and practical experiences: a senior project or capstone course that integrates design and implementation, plus opportunities for internships, undergraduate research and industry-sponsored projects.

Teaching typically mixes lectures, hands-on laboratory sessions, team projects and individual coursework. The curriculum is structured to let students build progressively from theoretical concepts to large-scale software and systems development, with options to tailor study through electives and minors.

Entry requirements

Applicants should hold a recognised secondary school qualification with strong performance in mathematics. Typical successful applicants demonstrate preparedness in algebra and pre-calculus or calculus; prior experience with programming is beneficial but not always required. Selection is based on a combination of academic record, subject preparation and other application materials.

• Academic background: secondary diploma with solid grades, particularly in mathematics and science.
• Recommended preparation: coursework in algebra, geometry, trigonometry and calculus where available; introductory programming or computer science courses are advantageous.
• International applicants: proof of English language proficiency is required if English is not the first language; recognised tests or equivalent qualifications are acceptable.
• Additional materials: personal statements, letters of recommendation and evidence of extracurricular activities or projects in computing can strengthen an application.

Career prospects

Graduates are prepared for a wide range of technical roles across sectors including technology, finance, energy, healthcare and government. Common entry-level positions include software developer, systems analyst, database administrator, network engineer and cybersecurity analyst. The programme also supports careers in data science, UX/product roles and IT consulting, and provides a strong foundation for graduate study in computer science, information systems or specialised fields such as artificial intelligence and information assurance.

Many students secure internships and cooperative placements that lead to full-time roles; alumni work in start-ups, established technology firms, local industry partners and public-sector organisations. The programme emphasises transferable skills—problem solving, teamwork, technical communication and project management—that are valued across employers.

Why study at University of Tulsa

The University of Tulsa offers a personalised undergraduate experience with small class sizes and close faculty mentorship, enabling hands-on learning and access to research opportunities. The campus provides modern computing laboratories, project spaces and resources for student organisations focused on software, cybersecurity and robotics. Close links with regional industries present internship and project collaborations, and faculty members are active in research areas that feed into student projects and senior capstones.

The programme is designed to balance theoretical understanding with practical, career-focused experience, helping graduates transition smoothly into the workforce or continue their studies in specialised graduate programmes.