Villanova University

USA
1 Scholarships 92 Programs 3 Degree levels
Bachelor

Bachelor's in Computer and Information Sciences

Offered at Villanova University, USA
DegreeBachelor
FieldComputer and Information Sciences, General.
A

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

You borrow $25,874 median federal debt
You repay $294/mo over 10 years
Graduates earn $100,423 10 yrs after entry
Debt clears in 0.4 yrs of the salary premium
US Department of Education figures See the full breakdown →

The Bachelor in Computer and Information Sciences at Villanova University is an undergraduate degree that combines core computing fundamentals with hands-on laboratory work and project-based learning. It suits students who want a strong technical foundation in programming, systems and data, with opportunities for internships, research and specialisation in areas such as software engineering, networks, cybersecurity and artificial intelligence.

What you'll study

The programme builds a foundation in computer science and information systems through a mix of theoretical courses, practical labs and team projects. Core subjects typically include programming (object-oriented and procedural), data structures and algorithms, discrete mathematics, computer architecture and operating systems.

  • Software engineering and systems design, including software development lifecycle, testing and version control
  • Database systems and information management (relational databases, SQL, data modelling)
  • Computer networks, distributed systems and cybersecurity fundamentals
  • Web development, mobile computing and human–computer interaction
  • Applied topics such as machine learning, artificial intelligence, data analytics and cloud computing (offered as electives)
  • Capstone or senior design project that integrates knowledge across the curriculum through an extended team-based development effort
  • Laboratory classes and programming practicum to develop hands-on skills, plus opportunities for undergraduate research

Students also complete general education requirements in mathematics, natural sciences and the liberal arts; electives and minors allow specialisation in areas like cybersecurity, data science, business analytics or entrepreneurship.

Entry requirements

Admission is based on a combination of academic performance and preparation in relevant subjects. Typical requirements include a completed secondary-school qualification with strong grades, particularly in mathematics. Schools commonly look for coursework in algebra, precalculus or calculus and, where available, computer science or programming experience is an advantage.

  • Submission of official secondary-school transcripts; standardised tests may be considered where applicable but policies can vary
  • For international applicants, proof of English language proficiency (for example, recognised tests or other institutional measures) is required if English is not the applicant's first language
  • Letters of recommendation, a personal statement and examples of programming or project work can strengthen an application
  • Transfer applicants should provide college transcripts and details of completed computing courses; advanced standing may be awarded based on prior coursework or examinations

Career prospects

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

  • Software developer or engineer building applications, backend systems and mobile software
  • Systems analyst, IT consultant or solutions architect working on enterprise systems and integration
  • Data analyst or entry-level data scientist using databases, analytics and visualisation tools
  • Cybersecurity analyst, network engineer or information assurance specialist securing systems and networks
  • Roles in cloud computing, DevOps, site reliability engineering and infrastructure
  • Further study at graduate level (master’s or PhD) in computer science, information systems, data science or related fields

Villanova’s career services and employer relationships support internship placements and recruiting, helping graduates move into industry roles or graduate programmes.

Why study at Villanova University

Villanova combines a strong technical curriculum with an emphasis on ethical decision-making and the liberal arts, reflecting the university’s Augustinian educational tradition. The programme emphasises experiential learning through laboratories, project courses and a culminating capstone that gives students practical experience designing and delivering software systems.

  • Access to faculty-led research and opportunities to collaborate on real-world projects
  • Small-to-moderate class sizes that allow personalised instruction and mentoring
  • Modern computing labs, development tools and partnerships with local and national employers for internships and co-curricular experiences
  • A network of alumni and on-campus career resources to support job placement and professional development

Together, these elements prepare graduates with both the technical skills and the professional habits needed to succeed in technology careers or advanced study.

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