Loyola University Chicago

USA
5 Scholarships 144 Programs 3 Degree levels
Masters

Master's in Computer Science

DegreeMasters
FieldComputer Science.
B

Cost & earnings at Loyola University Chicago What students borrow here, and what they go on to earn

You borrow $24,157 median federal debt
You repay $275/mo over 10 years
Graduates earn $71,530 10 yrs after entry
Debt clears in 0.8 yrs of the salary premium
US Department of Education figures See the full breakdown →

The Master of Science in Computer Science (Applied Computer Science) at Loyola University Chicago is a professionally oriented programme that builds practical skills in software development, data analysis, machine learning and systems engineering. It suits graduates with a computing background—or closely related discipline—who want to advance technical expertise for industry roles or applied research projects.

What you'll study

This applied master's focuses on developing hands‑on technical competence alongside theoretical foundations. Core topics typically include algorithms and data structures, software engineering and architecture, databases, operating systems, and computer networks. Students also study applied areas such as machine learning and artificial intelligence, data analytics, cybersecurity, and cloud computing.

The programme is structured to combine required core courses with electives that allow specialisation. Many students complete a capstone project, practicum or applied research project in partnership with an external organisation or a faculty research group to demonstrate end‑to‑end skills in design, implementation and evaluation. Course formats commonly include lectures, lab sessions, group projects and code reviews, emphasising real‑world problem solving and industry best practice.

  • Representative core modules: Algorithms & Data Structures, Software Engineering, Databases, Operating Systems
  • Representative applied electives: Machine Learning, Big Data Analytics, Secure Systems, Cloud & Distributed Systems, Human‑Computer Interaction
  • Capstone or practicum: team project with a practical deliverable or research‑oriented thesis option where available
  • Flexible delivery: options for full‑time, part‑time and evening courses to accommodate working professionals

Entry requirements

Applicants are expected to hold a bachelor's degree from an accredited institution. Most successful applicants have a degree in computer science, computer engineering, electrical engineering or a closely related field. Applicants from other backgrounds with substantial programming experience and relevant coursework may also be considered.

  • Academic transcripts demonstrating a strong undergraduate record; a competitive GPA is typically expected.
  • Evidence of quantitative and programming preparedness—prior courses in programming, data structures and mathematics are usually required; conditional admission or prerequisite courses may be offered where gaps exist.
  • Supporting materials such as a statement of purpose, current CV or resume, and one or more letters of recommendation.
  • International applicants must meet English language proficiency requirements; additional documentation may be required for visa purposes.
  • Some programmes accept standardised test scores (such as the GRE) but many cohorts are admitted without them; consult the department for current testing policy.

Career prospects

Graduates move into a wide range of technical and engineering roles across sectors. Common job titles include software engineer, backend or systems developer, data scientist/analyst, machine learning engineer, DevOps/cloud engineer, cybersecurity analyst and systems architect. The programme’s applied emphasis and capstone projects prepare students for industry roles that demand practical coding, system design and data‑driven decision making.

Being in Chicago gives access to regional employers in finance, healthcare, consulting and technology startups as well as national and global firms with local offices. Alumni typically find roles in product development teams, data and analytics groups, research and development, and technical consulting. Graduates who pursue further study often continue to doctoral programmes or specialised professional certifications.

Why study at Loyola University Chicago

Loyola University Chicago combines a strong liberal arts and professional education tradition with connections to a major metropolitan technology ecosystem. The Computer Science department emphasises experiential learning, faculty mentorship and opportunities for interdisciplinary collaboration with fields such as business, health informatics and the arts.

Key strengths include access to faculty engaged in applied research, hands‑on lab facilities, and career services that support internship placement and employer networking in Chicago. The university’s Jesuit mission also encourages ethical reflection on technology, preparing graduates to consider social impact alongside technical excellence. For professionals seeking a practical, career‑oriented computer science master’s with ties to industry, Loyola offers a balance of technical depth, applied projects and location‑based opportunities.

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Programme details are indicative and may change — always verify current information with the official university website before applying.