Brandeis University

What you'll study

The programme combines core computer-science fundamentals with applied information-technology topics. Core modules typically cover algorithms and data structures, operating systems, computer networks, databases, and software engineering. From there you can choose elective modules in areas such as machine learning and AI, data analytics, cloud computing, cybersecurity, human–computer interaction, and mobile or web development.

Most students complete a mix of coursework and a culminating experience: options commonly include a practicum or industry-aligned capstone project, a substantial team software project, or a research thesis under faculty supervision. Coursework emphasises both theoretical foundations and hands-on labs, giving students experience with modern development tools, distributed systems, and data platforms.

• Core topics: algorithms, operating systems, databases, software engineering, networking
• Common electives: machine learning, data science, cloud architecture, information security, HCI
• Culminating experience: capstone project, practicum with an external partner, or thesis
• Formats: full-time and part-time pathways are typically available to accommodate working professionals

Entry requirements

Applicants are expected to hold a bachelor’s degree from an accredited institution, typically in computer science, engineering, mathematics or a closely related discipline. If your undergraduate degree is in another subject, you may be asked to demonstrate sufficient preparation in programming, discrete mathematics and basic systems or to complete prerequisite coursework.

Admissions materials normally include a statement of purpose, academic transcripts, a current résumé/CV, and two to three letters of recommendation. Standardised tests may be optional or considered on a case-by-case basis; consult the programme for current policy. International applicants whose prior degree was not taught in English are generally required to provide proof of English proficiency.

Career prospects

Graduates enter a wide range of IT and computing roles across industry, government and research. Typical job titles include software engineer or developer, systems engineer, data engineer, data scientist, DevOps/cloud engineer, security analyst, and product or technical project manager. The programme’s practical projects and industry practicum options help graduates build a portfolio of work that employers value.

Graduates also use the master’s as preparation for research or doctoral study in computer science and related fields. Brandeis’s location near the Boston–Cambridge technology and biotech cluster provides networking and internship opportunities with startups, established tech companies, and research labs.

Why study at Brandeis University

Brandeis offers small classes and close faculty mentoring, allowing students to work directly with researchers in areas such as systems, machine learning, security and data analytics. The university emphasises interdisciplinary collaboration, so students can take relevant courses across departments and engage with centres working on applied computing problems.

Being near Boston and Cambridge gives students access to a dense regional tech ecosystem for internships, industry partnerships and career networking. Brandeis also provides career services and employer engagement tailored to graduate students, and its graduate community is designed to support both recent graduates and experienced professionals seeking to advance or shift their IT careers.