Clark University

What you'll study

The programme balances foundational theory with practical, project-based learning. Core topics typically include programming (object-oriented and functional paradigms), data structures and algorithms, discrete mathematics, computer systems and operating systems. Students also study databases, computer networks and software engineering principles.

Beyond the core, the curriculum offers electives and pathways in areas such as data science and machine learning, human–computer interaction, cybersecurity and ethical computing, mobile and web development, and computational modelling. Coursework is complemented by laboratories, team software projects, and a senior capstone or honors thesis that emphasises applied problem-solving and communication of technical work.

Because Clark is a liberal arts university, majors take a selection of general education courses to develop communication, critical thinking and quantitative reasoning. Many students combine the major with minors or double majors in fields like mathematics, psychology, economics or the natural sciences to develop interdisciplinary skills.

• Programming and Software Design
• Data Structures and Algorithms
• Databases and Information Management
• Computer Systems and Operating Systems
• Networks and Distributed Systems
• Machine Learning and Data Science
• Human–Computer Interaction and User Experience
• Cybersecurity and Privacy
• Capstone Project or Research Thesis

Entry requirements

Applicants are expected to have a secondary-school diploma with a strong academic record. Recommended preparation includes high-school mathematics (algebra and preferably calculus), and prior coursework or experience in computing is advantageous but not always mandatory. Admissions criteria consider the overall academic profile, recommendations, personal statement and any relevant extracurricular or project experience.

For international applicants, proof of secondary-school completion equivalent to U.S. requirements is required along with demonstrated English proficiency according to the university's accepted tests or exemptions. Clark typically evaluates applications holistically, so students with non-traditional backgrounds who can show aptitude and motivation for computing are also encouraged to apply.

Career prospects

Graduates with a degree in Computer and Information Sciences are prepared for a wide range of technical and interdisciplinary careers. Common entry roles include software developer, systems analyst, data analyst, database administrator, cybersecurity specialist, quality assurance engineer and web/mobile application developer. The programme also provides a foundation for roles that combine computing with other domains — for example, computational biology, digital humanities, education technology and public-sector IT.

Many students pursue internships during their studies, which often lead to full-time employment. Others continue to graduate study in computer science, information science, data science or related fields. Career services at Clark and connections in the Worcester and greater Boston tech ecosystem support job placement, internships and experiential learning.

Why study at Clark University

Clark offers a small-class environment with close access to faculty and numerous opportunities for undergraduate research and independent projects. The university emphasises experiential learning, so computer and information science students often work on team-based projects, internships and community-engaged technology initiatives.

Located in Worcester, Clark provides proximity to a regional network of technology companies, research institutions and startups, which enhances internship and collaborative project opportunities. The programme’s interdisciplinary culture makes it straightforward to combine computing study with other interests across the liberal arts, while career support and alumni networks help graduates transition into industry or further study.

Overall, Clark’s approach is oriented toward preparing reflective, adaptable technologists who can apply computational tools to real-world problems and continue learning as technologies evolve.