Saint Louis University

What you'll study

This programme provides a balance of theoretical foundations and applied skills. In the first years you build fluency in programming, discrete mathematics and computational problem solving, typically through courses in introductory programming, data structures and algorithms, computer organisation and calculus. Core modules progress to operating systems, databases, computer networks, software engineering and software design patterns.

Applied and elective modules allow you to specialise or broaden your skills. Typical applied topics include web and mobile development, human–computer interaction, machine learning and data analytics, cybersecurity fundamentals, cloud computing and embedded systems. Many students undertake a senior capstone project or practicum that emphasises team-based software development, real-world requirements and deployment.

Throughout the degree you will also take supporting mathematics and science courses (for example discrete mathematics, statistics and linear algebra) and courses that develop professional skills such as ethics, technical communication and project management.

• Programming and data structures
• Algorithms and complexity
• Computer architecture and operating systems
• Databases and information systems
• Software engineering and development practices
• Networks, security and systems administration
• Data science, machine learning or specialised electives
• Senior capstone project or internship/practicum

Teaching and assessment

Teaching mixes lectures, laboratory sessions and project-based courses. Assessment commonly includes programming assignments, exams, group projects, oral presentations and a culminating capstone. Opportunities for undergraduate research with faculty and industry internships are available to reinforce applied learning.

Entry requirements

Applicants should hold a secondary school qualification recognised by Saint Louis University. Successful candidates typically demonstrate strong achievement in mathematics and science subjects and experience with problem solving or programming is advantageous.

• High-school diploma or equivalent with strong performance in mathematics (e.g. calculus or advanced algebra) and preferably a science subject.
• Evidence of academic readiness for a technical degree, which may include prior coursework in computer science or programming projects.
• International applicants will need to meet English language proficiency requirements through recognised tests or demonstrated prior study in English.
• Some applicants strengthen their application with recommendations, a personal statement outlining interest in computing, and records of extracurricular technical experience such as coding clubs, competitions or internships.

Specific entry criteria and any alternative pathways (transfer credit, bridging courses) are detailed by the university admissions office.

Career prospects

Graduates from an applied computer science bachelor’s go into a broad range of technical and interdisciplinary roles. Typical early-career positions include software developer, web or mobile application developer, systems analyst, database administrator, quality assurance engineer and IT support specialist.

With elective focus on data and machine learning, graduates may enter roles such as data analyst, machine learning engineer or business intelligence developer. A security-focused pathway can lead to roles in cybersecurity or network administration. Many graduates also pursue graduate study in computer science, data science or related disciplines.

Saint Louis University’s location and industry links support internship and employment opportunities in technology firms, healthcare IT, finance, biotechnology and startups, as well as positions within government and non-profit organisations.

Why study at Saint Louis University

Saint Louis University combines a Jesuit liberal arts tradition with a focus on service, ethics and whole-person education. The university emphasises small class sizes and close interaction with faculty, which benefits students in lab-based and project work.

Students in computer science can access undergraduate research, faculty mentorship and local industry partnerships in the St. Louis region. Career services, internship support and active student clubs (such as programming, robotics and cybersecurity groups) help translate classroom learning into professional experience.

The programme’s applied orientation aims to produce graduates who are technically competent, aware of ethical and social implications of technology, and prepared for immediate employment or further study.