Rutgers University Department of Computer Science

What Rutgers University Department of Computer Science does

The Rutgers University Department of Computer Science is an academic unit within the Rutgers School of Arts and Sciences, housed in Hill Center on the Busch Campus in Piscataway, New Jersey. Established in 1966, it offers undergraduate (B.A. and B.S.), graduate (M.S. in Computer Science, M.S. in Data Science), and doctoral (Ph.D.) degree programs, serving prospective and enrolled students who progress through centralized Rutgers admissions. The department's research is organized into three divisions — Computer and Network Systems, Intelligent Systems, and Theory of Computing — with supporting facilities including the CAVE immersive visualization lab (renamed Coding Social Lounge), the HackerSpace maker facility, and shared access to the Caliburn supercomputer.

Faculty (100+ across professors, lecturers, affiliated faculty, researchers, and emeritus) conduct research across algorithms, AI/ML, computer vision, NLP, robotics, security, databases, high-performance computing, and theory. Notable outputs include patents, a Cambridge University Press textbook on virtual memory, research contributions integrated into the Linux kernel, and program-level recognition from U.S. News & World Report and CSRankings.org. The department provides infrastructure for graduate research and undergraduate instruction, with a cooperative cross-enrollment arrangement with Princeton University.

The department's revenue mechanics are non-commercial: tuition and fees flow through Rutgers central admissions, sponsored research is funded by federal agencies (NSF, NIH, DOE, DARPA, NASA, DOD/AFOSR) and corporate partners (Google, Intel, Microsoft, Amazon, VMware, AMD, Meta, NetApp, eBPF Foundation), and supplemental support arrives through alumni donations via the Rutgers Foundation. Go-to-market for student recruitment combines the Rutgers central admissions channel with departmental events (open houses, campus tours of the Coding Social Lounge and HackerSpace), organic social channels (Facebook, X, Instagram, LinkedIn), and alumni/student testimonial content.

Name

Rutgers University Department of Computer Science

Legal name

Rutgers, The State University of New Jersey

Website

https://cs.rutgers.edu

Company type

Private

Founded year

1966

Operating status

Operating

Headcount range

101–250 employees

Short description

The Rutgers University Department of Computer Science (est. 1966) is an academic unit within Rutgers School of Arts and Sciences that offers undergraduate and graduate CS degrees and conducts research across systems, intelligent systems, and theory, serving students, faculty, and sponsored research partners in New Jersey and globally.

Ownership category

akta.pro rank

Product category

Higher Education / Computer Science Academic Programs

NAICS

Colleges, Universities, and Professional Schools (6113)

akta.pro primary industry

Technical Universities with Computing, Data & AI Focus (EDAHAEAK)

akta.pro secondary industry

Public Research Universities with Engineering/Polytechnic Emphasis (EDAHAAAD)

Keywords

• Computer science education
• Academic degree programs
• Graduate research training
• Computer science research
• University academic department

Headquarters

HQ city

Piscataway

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B and B2C

Offering type

Services

Cost components

Personnel, Technology or R&D, Infrastructure, Operations

Revenue model

1. Tuition and Fees: Revenue generated through undergraduate and graduate tuition fees paid by enrolled students. Programs include B.A., B.S., M.S., and Ph.D. degrees.
2. Research Grants and Sponsored Programs: Faculty and the department receive substantial funding from federal agencies including NSF, NIH, DOE, DOD, as well as corporate grants from Google, Intel, Microsoft, Amazon, VMware, and others. Grants fund specific research projects and faculty positions.
3. Donations and Alumni Giving: The department operates a dedicated donation portal (give.rutgersfoundation.org) for alumni and supporters to contribute to departmental initiatives, scholarships, and facilities.

Go-to-market motion3 records

Distribution channels3 records

Marketing channels7 records

Core offering

The Rutgers University Department of Computer Science is an academic unit within Rutgers School of Arts and Sciences that delivers undergraduate (B.A., B.S.) and graduate (M.S., Ph.D.) degree programs in computer science, alongside a professional M.S. in Data Science. It produces fundamental and applied research across three domains — Computer and Network Systems, Intelligent Systems, and Theory of Computing — supported by facilities such as Hill Center, the CAVE/Coding Social Lounge, HackerSpace, and Caliburn supercomputer access.

Product overview

The Rutgers Computer Science Department (established 1966) operates as an academic unit within Rutgers School of Arts and Sciences, offering a unified portfolio of educational programs and research specializations. The core academic products include undergraduate B.A. and B.S. degrees, M.S. programs (both general CS and specialized Data Science tracks), and a Ph.D. research program. These degree programs are organized around three interconnected research domains: Computer and Network Systems (covering systems, security, databases, and software), Intelligent Systems (covering AI, machine learning, computer vision, robotics, and computational biomedicine), and Theory of Computing (covering algorithms, complexity, cryptography, and quantum computing). The department does not offer commercial software products.

Differentiator

Problem solved

Functional benefit

Products and services

• Bachelor of Arts (B.A.) in Computer Science Undergraduate liberal-arts oriented computer science degree providing foundational coursework in algorithms, programming, and theoretical concepts with interdisciplinary flexibility; for prospective and enrolled undergraduates.
• Bachelor of Science (B.S.) in Computer Science Intensive undergraduate computer science degree with deeper technical requirements in systems, software development, and specialized CS areas; for prospective and enrolled undergraduates.
• Master of Science in Computer Science (M.S.C.S.) Graduate-level master's program offering advanced coursework and research opportunities across algorithms, systems, AI/ML, and applications areas; for students with an undergraduate CS background.
• Master of Science in Data Science (MSDS) Professional master's program focusing on data science methodologies including massive data analytics, statistical learning, and data engineering with a capstone project requirement.
• Ph.D. in Computer Science Doctoral research program requiring coursework breadth and depth, qualifying exams, and dissertation research in a specialized area; for students pursuing research careers in academia or industry.
• Computer and Network Systems Research Program Research specialization covering Computer Architecture, Computer Security, Operating Systems, Cyber-Physical Systems, Databases, High-Performance Computing, Mobile Systems, Networks, Programming Languages, and Software Engineering.
• Intelligent Systems Research Program Research specialization in Artificial Intelligence, Computational Biomedicine, Computational Neuroscience, Computer Animation/Graphics, Computer Vision, Data Science, HCI, Knowledge Representation, Language Technologies, Machine Learning, and Robotics.
• Theory of Computing Research Program Theoretical computer science research covering Big Data Algorithmics, Computational Complexity, Computational Geometry, Cryptography, Data Structures, Error-Correcting Codes, Numerical Methods, Quantum Computing, and Streaming Algorithms.

Named customers2 records

Segments3 records

Ideal customer profiles3 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability17 records

Feature4 records

Partnerships

Four partnerships are on record, tiered core and minor.

• Princeton UniversitycoreStrategic or Co-development PartnerCooperative program with Princeton University allowing graduate students to take courses and collaborate on research across both institutions, expanding academic resources available to students at both universities.
• ExxonMobilminorStrategic or Co-development PartnerProf. Bekris collaboration with ExxonMobil and EOHSI (Environmental and Occupational Health Sciences Institute) on contaminant measurement using robots.
• Yale UniversityminorStrategic or Co-development PartnerNSF NRI grant with Yale collaborator Prof. Dollar awarded to Profs. Bekris and Boularias for robotics research.
• Cornell TechminorStrategic or Co-development PartnerProf. David Cash receives NSF SaTC grant with Cornell Tech collaborators for security research.

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• MIT Computer Science and Artificial Intelligence Laboratory (CSAIL): Largest interdisciplinary CS research lab at MIT with similar structure spanning systems, AI, and theory. Directly comparable in research output, faculty size, and grant funding profile, though at a much larger scale.
• Carnegie Mellon School of Computer Science: Top-ranked CS school with comparable structure across systems, AI, theory, and robotics. Direct competitor for faculty hires and graduate student recruitment; similar industry partnership and grant funding model.
• University of Michigan Computer Science and Engineering: Large public research university CS department with similar scale of faculty, research grants, and degree offerings. Direct competitor for top graduate students and a benchmark in public-university CS rankings.
• University of Maryland Department of Computer Science: Major public research university CS department in the mid-Atlantic region with comparable research scope, faculty size, and federal grant funding profile. Directly comparable peer in scale and program offerings.
• Princeton University Department of Computer Science: Premier CS department at a peer Ivy-adjacent research university; partner in the cooperative graduate program with Rutgers. Highly comparable in research breadth (theory, systems, AI) and serves a similar graduate student applicant pool in the Northeast.
• UC Berkeley Electrical Engineering and Computer Sciences (EECS): Top-ranked public university CS department with comparable research breadth and similar faculty profile (NSF CAREER winners, Fellows across multiple societies). Direct peer in rankings and research output.
• Stanford University Computer Science Department: Elite CS department with comparable research areas (AI/ML, systems, theory) and similar deep industry partnerships with Google, Intel, and other tech majors. Direct competitor in faculty hiring and research prestige.
• Cornell University Department of Computer Science: Ivy League peer CS department with similar research structure across systems, AI, and theory. Already collaborates with Rutgers (Cash's NSF SaTC grant with Cornell Tech), making it a natural comparison point.
• University of Illinois Urbana-Champaign Computer Science Department: Public research university CS department with comparable size, structure, and ranking position. Strong systems and theory programs make it a directly comparable peer in the public university CS landscape.
• Georgia Tech College of Computing: Top-ranked public university computing college with similar research areas (AI, systems, theory) and comparable industry partnership model. Direct peer in CS Rankings and US News comparisons.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks4 records

Key highlights7 records

Customer concentration

• Xx.com/RutgersCS
• Facebookfacebook.com/RutgersUniversityComputerScience
• LinkedInlinkedin.com/school/rutgers-university-department-of-computer-science
• Instagraminstagram.com/rutgerscomputerscience

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Rutgers University Department of Computer Science