Columbia Engineering

Name

Columbia Engineering

Legal name

The Fu Foundation School of Engineering and Applied Science of Columbia University

Website

https://engineering.columbia.edu

Company type

Private

Founded year

1864

Operating status

Operating

Headcount range

1–10 employees

Ownership category

akta.pro rank

Product category

Higher Education / Engineering Education

NAICS

Colleges, Universities, and Professional Schools (6113), Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715)

SIC

Services-Educational Services (8200), Services-Engineering, Accounting, Research, Management (8700)

akta.pro primary industry

Engineering & Technology Institutes (Comprehensive) (EDAHAEAA)

akta.pro secondary industry

STEM-Focused Research Universities (Engineering & Applied Sciences) (EDAHABAB)

Keywords

• Engineering education
• Graduate degree programs
• Engineering research
• Sponsored research
• Technology licensing

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices3 records

Markets served

GTM type

B2B and B2C

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales

Revenue model

1. Tuition and degree program fees: Revenue from undergraduate, master's, doctoral, and executive education programs. Columbia Engineering offers over 100 program options including on-campus, online, and dual-degree formats.
2. Sponsored research funding: Funding from government agencies (NOAA, NSF), industry partners (Amazon $5M, IBM, Google), and foundations supporting specific research projects, centers, and initiatives.
3. Philanthropic giving and donations: Gifts from alumni, donors, and organizations through annual funds, endowed scholarships, capital campaigns, planned giving, donor-advised funds, and matching gifts.
4. Technology transfer and licensing: Revenue from commercialization of research including patents, startup formation (57+ faculty startups in 10 years), and technology licensing.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels7 records

Core offering

Columbia Engineering delivers bachelor's, master's, doctoral, and executive degree programs across nine engineering and applied science departments, offered on-campus in New York City and online through the Columbia Video Network. It conducts sponsored multidisciplinary research spanning AI, biomedical engineering, sustainability, materials, and blockchain, generating patents (412+ in 10 years), faculty-led startups, and technology licensing opportunities for industry and government partners.

Product overview

Columbia Engineering is an academic institution offering undergraduate, master's, doctoral, and online programs through Columbia Video Network (CVN). The institution operates numerous research centers including the Columbia Center of AI Technology (CAIT) in partnership with Amazon. Columbia Engineering develops various AI-enabled technologies for environmental applications including waste monitoring systems and advanced imaging technologies for medical research including brain implants and cancer therapies. The institution provides educational programs across nine engineering departments with notable programs including the new Master of Science in Artificial Intelligence.

Differentiator

Problem solved

Functional benefit

Products and services

• Master of Science in Artificial Intelligence (MSAI) A graduate degree program combining core AI courses in Computer Science and Engineering with specialized concentrations for specialized AI training. Targeted at prospective graduate students seeking advanced AI credentials.
• Undergraduate Engineering Degree Programs Bachelor's degree programs across engineering and applied science departments, including access to the Core Curriculum, research opportunities, study abroad, student organizations, and athletics. Targeted at prospective undergraduate students.
• Master's Degree Programs Master's degree programs across nine engineering departments with on-campus, online, and hybrid options. Targeted at graduate students pursuing advanced engineering credentials.
• Doctoral Degree Programs PhD and EngScD programs across engineering departments, with research-intensive curricula. Targeted at students pursuing academic and research careers in engineering.
• Columbia Video Network (CVN) Online program delivery platform enabling remote access to Columbia Engineering's academic offerings, including master's and doctoral programs such as the online MS in AI. Targeted at working professionals and global students who cannot relocate to NYC.
• Executive and Professional Education Award-winning online executive education programs and non-degree certificates for industry professionals seeking upskilling. Targeted at working professionals and corporate cohorts.
• Columbia Center of AI Technology (CAIT) AI research and education center established in partnership with Amazon, dedicated to research, education, and outreach in artificial intelligence. Targeted at industry partners, faculty researchers, and graduate students.
• Columbia-Ethereum Research Center for Blockchain Protocol Design Research center advancing blockchain infrastructure, performance, security, robustness, and economics of blockchain technology. Targeted at industry partners (Ethereum Foundation), faculty, and graduate students.

Quantifiable outcome

• 60% increase in efficiency and 40% reduction in contamination demonstrated by AI-enabled recycling systems
• +3 more outcomes

Named customers10 records

Segments4 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature6 records

Partnerships

Seven partnerships are on record, tiered flagship and core.

• AmazonflagshipStrategic or Co-development PartnerAmazon invested $5 million over five years to help establish the Columbia Center of AI Technology (CAIT), dedicated to research, education, and outreach in artificial intelligence. This represents one of Columbia Engineering's most significant industry partnerships.
• NOAA (National Oceanic and Atmospheric Administration)coreStrategic or Co-development PartnerColumbia Engineering received a $2.7 million NOAA Sea Grant to deploy an AI-enabled pontoon system on the Hudson River using cameras and hyperspectral imaging to detect and categorize floating waste. Project prototypes to be tested in the Hudson and Bronx Rivers.
• Capital OneflagshipStrategic or Co-development PartnerCapital One and Columbia University launched the Center for AI and Responsible Financial Innovation (CAIRFI), advancing responsible AI for the financial sector. Researchers inaugurated the center to focus on socially responsible financial technologies.
• Ethereum FoundationcoreStrategic or Co-development PartnerColumbia Engineering and the Ethereum Foundation launched a research center to advance blockchain infrastructure and protocol design, bringing together multi-disciplinary expertise to advance performance, security, robustness, and economics of blockchain technology.
• IBMcoreTechnology or IntegrationIBM partners with Columbia Engineering on the Sustainable Computing Initiative to create sustainable and carbon-aware data centers, addressing the energy demands of AI infrastructure.
• GooglecoreTechnology or IntegrationGoogle collaborates with Columbia Engineering on the Cybersecurity Initiative, kick-starting research in cybersecurity and society in NYC and beyond.
• 100+ industry research partnerscoreStrategic or Co-development PartnerOver 100 industry partners sponsor research at Columbia Engineering, including Amazon, IBM, and Google, providing funding for collaborative research, access to expertise, and talent pipelines.

Scale indicators10 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• Georgia Tech College of Engineering: Georgia Tech is the largest public engineering school in the US by enrollment. While a public institution (Columbia is private), it is a relevant comparable in scale, sponsored research volume, and industry partnerships in AI and computing.
• University of Michigan College of Engineering: Michigan Engineering is a top public peer with comparable research output and broad industry partnerships. While publicly funded, it competes for sponsored research and top graduate students in mechanical, materials, and AI engineering.

Direct peers

• Princeton School of Engineering and Applied Science: Princeton SEAS is a direct Ivy League peer with a similar private research university structure, smaller scale, and overlapping research strengths in AI, materials, and bioengineering. Direct competitor for both faculty and undergraduate admits.
• MIT School of Engineering: MIT's engineering school is the closest direct peer, offering comprehensive undergraduate and graduate engineering programs with comparable research expenditure, Nobel-affiliated faculty, and a similar industry partnership model. Columbia Engineering explicitly positions itself against MIT in scale and Ivy-adjacent research output.
• Carnegie Mellon College of Engineering: Carnegie Mellon's College of Engineering is a leading peer with comparable research depth in AI, robotics, and computer science. Comparable faculty size, sponsored research volume, and tech-industry partnership intensity.
• UC Berkeley College of Engineering: Berkeley Engineering is a direct peer in research output, AI program strength, and faculty startup formation. Both schools compete for top AI and biotech research talent and corporate-sponsored research dollars.
• Caltech Division of Engineering and Applied Science: Caltech's engineering division is a direct peer in research intensity per faculty member and Nobel-affiliated faculty count. Smaller in scale but competes for the same top-tier research faculty and graduate students in engineering and applied science.
• Cornell Engineering: Cornell Engineering is a direct Ivy League peer offering comparable engineering programs at similar scale, with particular overlap in materials, AI, and applied physics research. Competes directly for prospective students and faculty in the Northeast corridor.
• Stanford University School of Engineering: Stanford Engineering is a direct peer in research intensity, faculty startup output, and Silicon Valley industry partnerships. Both schools compete for the same top faculty and graduate students, and share a model of deep corporate-sponsored research collaboration.

Regional players

• NYU Tandon School of Engineering: NYU Tandon is a regional peer based in New York City, competing for NYC-based engineering students and corporate partnerships. Smaller in scale and prestige than Columbia Engineering but increasingly competitive in AI and cybersecurity research.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/CUSEAS
• Facebookfacebook.com/178274

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Columbia Engineering