St. John's University

What you'll study

The programme combines core computer science subjects with applied information science topics to give you both theoretical grounding and practical experience. Typical modules include:

• Algorithms and Data Structures — advanced algorithm design, complexity analysis and implementation techniques.
• Databases and Information Management — relational and NoSQL systems, data modelling, query optimisation and data governance.
• Software Engineering and Systems Development — software lifecycle, design patterns, testing, and team-based development practices.
• Machine Learning and Data Analytics — supervised and unsupervised learning, feature engineering, model evaluation and applied analytics workflows.
• Computer Networks and Security — principles of networking, networked applications, and foundational information security concepts and practices.
• Human–Computer Interaction and Information Retrieval — user-centred design, search systems, and usability evaluation.
• Electives and Special Topics — options often include cloud computing, cybersecurity, big data technologies, mobile and web application development, and research seminars.
• Capstone Project or Thesis — an individual or team-based applied project or research dissertation that integrates coursework with a practical or scholarly problem.

Courses are delivered through lectures, lab work, seminars and project-based assessments. The programme typically offers full-time and part-time pathways and emphasises industry-relevant tools and practices alongside foundational theory.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree from an accredited institution, preferably in computer science, information systems, engineering, mathematics or a closely related discipline. Practical software development or IT experience can strengthen an application.

Typical supporting documents include:

• Official transcripts from all post-secondary institutions attended.
• A personal statement or statement of purpose outlining academic and professional goals.
• One to three letters of recommendation from academic or professional referees.
• A current CV or résumé detailing relevant experience and projects.

Some applicants may be asked to demonstrate quantitative readiness through prior coursework or preparatory modules. International applicants must meet English language proficiency requirements. The programme may consider relevant professional experience in lieu of formal prerequisites on a case-by-case basis.

Career prospects

Graduates go on to a wide range of technical and managerial roles across private and public sectors. Typical career paths include:

• Software developer or engineer, building applications and systems.
• Data analyst or data scientist, extracting insights from structured and unstructured data.
• Systems or business analyst, bridging technical teams and organisational needs.
• IT project manager or product manager, leading delivery of technology solutions.
• Information security analyst or cybersecurity specialist, protecting systems and data.
• Information architect or database administrator, designing and maintaining information systems.

The programme also prepares students for further study, including research degrees, and for roles that require translating technical capabilities into organisational impact.

Why study at St. John's University

St. John’s University offers this programme within a context of personalised teaching, accessible faculty and connections to a large metropolitan technology and business environment. You benefit from practical lab facilities, opportunities for internships and collaborations with local industry, and career support services that help with employer engagement and placement.

The university emphasises a balance of rigorous technical instruction and applied skills development, supported by a community of alumni and partners in the New York area and beyond. This environment is suited to students who want technical depth alongside practical, career-oriented preparation.