Lewis University

What you'll study

The programme combines core graduate-level computer science topics with applied coursework and hands-on projects. Core modules typically cover advanced algorithms, software engineering, database systems, computer networks and operating systems, while applied modules focus on areas such as machine learning and data analytics, cybersecurity, cloud computing and mobile or web application development.

Students progress through a mix of lectures, laboratory work and project-based learning. Common learning activities include programming assignments in modern languages and frameworks, database design and implementation, network configuration and security exercises, and team capstone projects that integrate design, development and deployment. The programme offers options for a professional practicum or capstone project to demonstrate applied competence; a research thesis route may be available for students preparing for doctoral study.

Entry requirements

• A bachelor's degree from an accredited institution, typically in computer science, information technology, engineering or a closely related discipline.
• Applicants with degrees in other fields may be considered provided they have completed prerequisite coursework in programming, data structures, discrete mathematics and computer systems; preparatory or bridging courses may be required.
• A record of satisfactory academic performance at undergraduate level; departments may consider professional experience in lieu of some academic prerequisites.
• International applicants must meet English language proficiency requirements as specified by the university.
• Additional materials such as a résumé/CV, personal statement and letters of recommendation are commonly required; standardised tests (e.g. GRE) may be optional or required on a case-by-case basis depending on applicant background.

Career prospects

Graduates leave prepared for technical and leadership roles in industry, government and non-profit organisations. Typical career paths include software developer/engineer, systems architect, data analyst or data scientist, cybersecurity analyst, cloud engineer, DevOps engineer and IT project manager. The programme also provides a foundation for those who choose to pursue doctoral study or specialised certifications in areas such as machine learning, cloud platforms and information security.

Lewis University's proximity to the Chicago metropolitan area and emphasis on applied learning supports opportunities for internships, industry projects and connections with employers across sectors including finance, healthcare, manufacturing and technology services.

Why study at Lewis University

• Applied, career-oriented curriculum that emphasises hands-on experience through labs, capstone projects and practicum options.
• Smaller class sizes and accessible faculty who bring a mix of academic and industry experience to teaching and mentoring.
• Flexible delivery options to accommodate working professionals, including evening and blended course schedules and online components.
• Access to computing facilities, specialised software and laboratory equipment that support coursework and project work.
• Connections to regional employers and a dedicated career services team to help with internships, job searches and professional development.