Brandeis University

What you'll study

The curriculum balances core computer-science theory and practical applied coursework. You will take foundational courses in programming, data structures, algorithms, computer systems and discrete mathematics, and then move into applied topics such as software engineering, databases, operating systems, computer networks, machine learning, artificial intelligence and cybersecurity. Applied-computer-science specialisms are supported by project-based classes, a capstone or practicum sequence, and opportunities to undertake independent research with faculty.

Mathematical and quantitative preparation is integrated into the programme through courses in calculus, linear algebra, probability and statistics — all intended to support work in data science, machine learning and theoretical aspects of computing. Electives often reflect faculty expertise and current industry needs, and may include human–computer interaction, natural language processing, computer vision, distributed systems and mobile application development.

Students are encouraged to complement technical work with courses from across Brandeis’s liberal-arts curriculum — for example ethics of technology, cognitive science, economics or biology — to develop broader context for applied computing projects. Practical learning is reinforced through team projects, software development practicum, summer internships and access to campus labs and maker spaces.

Entry requirements

Admission to Brandeis University follows the undergraduate admission process for the institution. Typical preparation for the computer-science programme includes strong achievement in high-school mathematics (including calculus where available), coursework in science and evidence of quantitative reasoning. Prior programming experience is helpful but not always mandatory; applicants who have completed introductory programming, AP Computer Science or equivalent coursework are often better prepared for early core courses.

Selection is based on the overall academic record, letters of recommendation, a personal statement and any standardised-test information submitted according to Brandeis’s current testing policy. Transfer applicants should demonstrate college-level success in quantitative and technical courses and provide college transcripts. International applicants must meet Brandeis’s general English proficiency and credential requirements.

Career prospects

Graduates with a Bachelor’s in Computer Science (Applied Computer Science) from Brandeis go on to a wide range of roles in industry, government and research. Typical career paths include software engineer, data scientist or analyst, systems engineer, cybersecurity analyst, cloud engineer, mobile and web developer, and product or technical project manager. The programme also provides strong preparation for postgraduate study in computer science, data science, artificial intelligence or related fields.

Brandeis students commonly secure internships and entry-level positions with technology firms, startups, financial services, healthcare and research organisations. The combination of technical depth, communication skills and a liberal-arts perspective helps graduates move into interdisciplinary roles and leadership positions over time.

Why study at Brandeis University

Brandeis offers a small-college feel within a research-active university, with relatively small class sizes and close mentorship from faculty who are active in research and applied computing. The university’s location near Boston and its tech ecosystem provides access to internships, industry partnerships and employers across the region.

The department emphasises hands-on, project-based learning, research opportunities for undergraduates and cross-disciplinary collaboration. Students benefit from campus resources such as computing labs, maker spaces and career services that support internship and job placement. A liberal-arts environment encourages ethical reflection and communication skills alongside technical training, preparing students for diverse careers where computing intersects with other domains.