Loyola University Chicago

What you'll study

The programme combines core computer science foundations with applied information science topics. Typical modules cover algorithms and data structures, database systems and data modelling, software engineering and systems design, computer networks and cybersecurity, and machine learning and data analytics. Students also encounter courses in human–computer interaction, information retrieval, cloud computing and systems architecture, alongside modules on research methods and ethics in computing.

Programme structure is flexible and commonly offers a mix of coursework and a culminating experience: a project-based capstone or practicum with an industry partner, and in some cases a supervised research thesis. Electives allow specialisation in areas such as data science, security, enterprise systems or artificial intelligence. Instruction combines lectures, laboratory work, team projects and independent research, with opportunities to engage with faculty research groups and local technology organisations.

Entry requirements

Applicants are normally expected to hold a recognised undergraduate degree in computer science, information systems, engineering, mathematics or a closely related field. Candidates with degrees in other disciplines but with demonstrable computing experience or coursework may also be considered.

• Official transcripts from all post‑secondary institutions attended.
• A current CV or résumé outlining relevant academic and professional experience.
• Personal statement describing motivations, relevant experience and academic or career goals.
• Letters of recommendation (usually one to three) from academic or professional referees.
• Proof of English language proficiency for international applicants (for example TOEFL or IELTS), unless exempt.

Some applicants may be asked to provide examples of previous programming or project work. Standardised test requirements (such as the GRE) are subject to change by the department; consult the programme admissions page for current guidance. Professional experience in software development, systems administration or data analysis can strengthen an application, particularly for applicants without a traditional computing degree.

Career prospects

Graduates progress to a broad range of roles across the technology sector and within data-driven functions across industry. Typical job titles include software developer or engineer, data scientist/analyst, database administrator, systems analyst, cloud engineer, cybersecurity analyst and IT project manager. The programme also prepares students for technical leadership roles, product positions that bridge technical and business functions, and for continued academic study at the doctoral level.

Students benefit from Loyola's links to the Chicago technology and professional services ecosystem, career services, internship opportunities and alumni networks, which support transition into industry roles and career advancement.

Why study at Loyola University Chicago

Loyola University Chicago combines a rigorous technical curriculum with the university's Jesuit mission emphasising ethical practice, social responsibility and interdisciplinary learning. The department offers small class sizes and direct access to faculty whose research spans artificial intelligence, data science, cybersecurity and human-centred computing.

Situated in a major metropolitan area, Loyola provides connections to a diverse set of employers and organisations across finance, healthcare, consultancy and startups. The university offers flexible scheduling options, including evening and part‑time pathways, making the programme accessible to working professionals. Support services such as academic advising, career counselling and opportunities for applied projects or internships help students translate their studies into practical experience and career outcomes.