University of New Haven

What you'll study

The programme emphasises applied computing through a sequence of core computer science courses, lab work and team projects. Students build foundations in programming, data structures and algorithms, then move into applied areas such as software engineering, databases, networking and systems development. The curriculum balances theoretical understanding with practical implementation, culminating in a capstone project that integrates design, development and testing.

• Core topics: introductory and advanced programming, data structures and algorithms, discrete mathematics, computer architecture and operating systems.
• Applied and systems topics: software engineering and project management, databases and data management, computer networks and security, embedded systems and mobile application development.
• Contemporary electives: machine learning and artificial intelligence fundamentals, web and cloud computing, human–computer interaction, data analytics.
• Practical components: laboratory courses, team-based software projects, code reviews and testing, and a senior capstone or industry-sponsored project.
• Experiential learning: opportunities for internships, co-operative education placements or research assistantships to gain workplace experience.

Entry requirements

Applicants are expected to have a strong secondary-school background in mathematics and science, and demonstration of quantitative and problem-solving ability. Specific documentation and academic thresholds are set by the university admissions office and should be consulted directly.

• Academic preparation: secondary-school diploma or equivalent with good grades; recommended subjects include algebra, precalculus/calculus and physics.
• Programming exposure: prior coursework or experience in programming is advantageous (for example, courses in Python, Java or C++), though introductory programming is taught in the programme.
• Standardised tests: the university publishes its policy on tests such as the SAT/ACT; applicants should check the admissions guidance for current requirements.
• International applicants: proof of English proficiency (for example IELTS or TOEFL) may be required if English is not the applicant's first language.
• Supporting materials: transcripts, personal statement and recommendation letters are typically requested; applicants with relevant work or project experience should highlight these in their application.

Career prospects

Graduates are prepared for a wide range of technology roles in industry, government and the non-profit sector, as well as for graduate study in computer science or related fields. The applied orientation equips students to move quickly into development and operational roles.

• Software developer / engineer (desktop, web and mobile applications)
• Systems analyst, systems engineer or DevOps practitioner
• Database administrator or data engineer; entry-level data analyst roles
• Network and cybersecurity technician or analyst
• Embedded systems or IoT developer
• Technical roles in fintech, healthcare IT, manufacturing, and other sectors; entrepreneurship and startup roles
• Progression to postgraduate study (MSc, MS or PhD) in specialised areas such as artificial intelligence, cybersecurity or data science

Why study at University of New Haven

The University of New Haven offers an applied, career-focused Computer Science education with strong links to industry, emphasising hands-on labs and team projects. Small class sizes and accessible faculty allow for personalised mentoring, while campus career services and corporate partnerships support internships and job placement. The university’s location in Connecticut provides proximity to regional technology employers and opportunities for experiential learning. Facilities include dedicated computing and networking labs, and students can engage in faculty research, multidisciplinary projects and student organisations that build practical skills and professional networks.