Pace University

What you'll study

The programme combines core computer science theory with hands-on applied courses and project work. You study fundamental topics such as programming, data structures and algorithms, discrete mathematics and computer systems before progressing to applied areas including software engineering, databases, computer networks and operating systems.

Typical modules and learning experiences include:

• Introductory and advanced programming — object-oriented and functional programming languages, software design and development practices.
• Data structures & algorithms — algorithmic thinking, complexity analysis and practical implementations.
• Systems and architecture — operating systems, computer organisation and embedded systems basics.
• Databases and information management — relational databases, SQL, data modelling and introductory data engineering topics.
• Software engineering and project management — software life cycle, version control, testing and team-based capstone projects.
• Networks, security and privacy — fundamentals of networking, cybersecurity principles and secure coding practices.
• Applied electives — options often include web and mobile development, cloud computing, machine learning and artificial intelligence, human–computer interaction and computer graphics.
• Capstone and internships — a substantial team or individual project applying learned skills to a real problem, and opportunities for internships or cooperative placements with industry partners.

The curriculum also integrates general education requirements to develop communication, quantitative reasoning and professional skills. Coursework emphasises experiential learning: labs, team projects, industry-sponsored assignments and portfolio development.

Entry requirements

Applicants need a secondary school completion qualification equivalent to a US high school diploma. Admissions typically expect evidence of strong performance in mathematics. Prior exposure to programming is desirable but not always required; introductory bridging courses may be offered for students without programming background.

Typical application materials include an academic transcript, personal statement, and references. International applicants must demonstrate English proficiency through an accepted test or previous education in English. Some applicants may submit examples of coding work or project portfolios to strengthen their application.

Career prospects

Graduates are prepared for a broad range of technical roles in industry, government and startups. Common career paths include:

• Software developer or engineer (front-end, back-end, full‑stack)
• Data analyst or data engineer
• Systems or network engineer
• Cybersecurity analyst or security engineer
• Mobile and web application developer
• Cloud solutions engineer and DevOps practitioner
• Technical consultant, product manager or technical project lead

Graduates also frequently pursue postgraduate study in computer science, data science, cybersecurity or related fields, or launch technology startups. Pace's location and employer relationships support internship placements that often lead to full-time positions.

Why study at Pace University

Pace’s Seidenberg School of Computer Science and Information Systems (the university’s computing school) offers an applied, industry-facing approach to computing education. The university’s campuses provide proximity to the New York City technology sector as well as a suburban campus environment, giving students access to local employers, internships and networking opportunities.

Features that distinguish the programme include:

• Strong industry ties and internship pathways that connect students with technology firms, financial institutions and media companies in and around New York City.
• Project-based learning and capstone experiences that build practical portfolios employers seek.
• Access to specialised labs, research projects and development environments across software engineering, cybersecurity and data science.
• Career services focused on resume preparation, interview coaching and employer engagement to support transition into the workforce.
• Opportunities for cross-disciplinary study, allowing students to combine computing with business, design or the arts.

Overall, the programme is suited to students seeking a career-ready computer science education with ample experiential learning and strong connections to employers in a major urban technology market.