Felician University

What you'll study

This applied Master’s emphasises practical, project-based learning across core areas of computer science. Typical modules cover algorithms and data structures, software engineering and design, databases and information systems, operating systems and computer networks, and cybersecurity fundamentals. Applied electives commonly include machine learning and data mining, cloud computing and distributed systems, mobile and web application development, human–computer interaction, and advanced topics in artificial intelligence. The programme normally culminates in a capstone project or practicum where students apply design, implementation and testing skills to a real-world problem; some pathways may offer a supervised research option.

• Core subjects: Algorithms & Data Structures; Software Engineering; Databases; Operating Systems; Computer Networks; Cybersecurity.
• Electives: Machine Learning; Data Analytics; Cloud & Distributed Systems; Mobile/Web Development; AI Applications; Secure Programming.
• Capstone/Practicum: Team or individual applied project with emphasis on deployment, documentation and stakeholder requirements.
• Delivery: Courses are typically offered in formats that support working professionals, including evening or hybrid classes and intensive semesters.

Entry requirements

Applicants should hold a recognised bachelor’s degree. A degree in computer science, information technology, engineering or a closely related discipline is preferred; applicants from other backgrounds may be admitted subject to completion of prerequisite or bridging coursework in foundational computing topics (such as programming, discrete mathematics and data structures). Typical application materials include official transcripts, a CV or resume, a personal statement outlining academic and professional goals, and one or more letters of recommendation. Where academic preparation is limited, applicants may be asked to demonstrate competence through coursework, assessments or a preparatory module. English language proficiency evidence is required for applicants whose first language is not English, according to the university’s standard graduate requirements.

Career prospects

Graduates are prepared for a broad range of technical and applied roles in the technology sector and IT organisations. Common career paths include software developer/engineer, systems analyst, database administrator, data analyst, machine learning engineer, cybersecurity analyst, network engineer and cloud systems specialist. The programme’s applied focus and capstone experience also support those seeking roles that bridge technical and business functions, such as technical project manager, product engineer or solutions architect. Alumni with strong academic performance may also pursue doctoral study or specialised professional certifications in areas such as cloud platforms, security or data science.

Why study at Felician University

Felician offers a personalised learning environment with small class sizes and faculty who combine academic credentials with practical experience. The university emphasises applied learning and ethical professional practice in line with its Franciscan tradition, providing mentorship and close faculty supervision on projects. Location in the New Jersey–New York metropolitan region gives students access to a wide range of employers and internship opportunities, while flexible scheduling and support services are aimed at working professionals. Students benefit from hands-on laboratory work, opportunities for industry collaboration on capstone projects, and career services that help with internship and job placement.