Carnegie Mellon University Electrical and Computer Engineering

What Carnegie Mellon University Electrical and Computer Engineering does

Carnegie Mellon University Electrical and Computer Engineering (CMU ECE) is a research-intensive academic department within Carnegie Mellon University's College of Engineering, delivering BS, MS, and PhD programs in electrical and computer engineering, artificial intelligence engineering, software engineering, computational systems engineering, and civil and computer engineering. The department operates across multiple global campuses including the main Pittsburgh site, CMU-Africa in Kigali (within Kigali Innovation City), Silicon Valley, Thailand (KMITL), Portugal, and Washington DC. Research spans circuits, signals and systems, computer architecture, optics and photonics, wireless communications, machine learning, security, and bioengineering, supported by specialized infrastructure including nanofabrication facilities and the CyLab Security and Privacy research center.

The department's revenue model is anchored in tuition and fees set at the university level (not separately disclosed at the department level) and supplemented by research grants and corporate partnerships. Three primary customer cohorts are served: prospective students applying through CMU's centralized admissions process, industry partners including Apple, Amazon, Bosch, Cadence, Intel/VMware, AMD, Mastercard Foundation, and emerging ventures (Egen, UltronAI), and government and research institutions such as ARPA-H, NIST, DARPA, AFRL, LANL, and the Bill & Melinda Gates Foundation. Distribution runs through the university admissions funnel for student cohorts and through formalized corporate partnership programs for research and talent-pipeline engagements; the department also operates a Student Project Tracker platform and weekly graduate seminar programming.

Technology assets include state-of-the-art nanofabrication labs, the CyLab biometric and security cluster, the Parallel Data Lab and Data Center Observatory (which received a donated LANL supercomputer), and a Student Project Tracker academic platform. Research and program differentiation is sustained through an unusually high density of National Academy members, IEEE/ACM Fellows, NSF CAREER awardees, Intel Rising Star and Google Scholar faculty, and a track record of Test-of-Time and best-paper awards across CVPR, SIGGRAPH, PLDI, SOSP, EuroSys, USENIX Security, and VLSI. The department operates within CMU, a private nonprofit university incorporated in Pennsylvania; CMU ECE itself is not a separately incorporated entity.

Name

Carnegie Mellon University Electrical and Computer Engineering

Legal name

Carnegie Mellon University

Website

https://ece.cmu.edu

Company type

Private

Founded year

1900

Operating status

Operating

Headcount range

11–50 employees

Short description

Carnegie Mellon University Electrical and Computer Engineering is a top-10-ranked research department offering undergraduate and graduate degrees in electrical and computer engineering, AI engineering, and software engineering across global campuses, serving students, industry partners, and federal research agencies.

Ownership category

akta.pro rank

Headquarters

HQ city

Pittsburgh

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2C

Offering type

Services

Cost components

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

Distribution channels2 records

Marketing channels6 records

Core offering

Carnegie Mellon University Electrical and Computer Engineering is an academic department delivering BS, MS, and PhD degree programs in ECE, Artificial Intelligence Engineering, Software Engineering, Civil and Computer Engineering, and Computational Systems Engineering, along with associated research labs, centers, and seminars across multiple global campuses.

Product overview

Carnegie Mellon University Electrical and Computer Engineering is a university department offering a comprehensive suite of academic degree programs at undergraduate and graduate levels. The core offerings include BS in ECE, MS in ECE (with locations in Pittsburgh, Africa, Silicon Valley, and Thailand), MS in Artificial Intelligence Engineering, MS in Software Engineering, MS in Civil and Computer Engineering, MS in Computational Systems Engineering, and PhD in ECE (with locations in Pittsburgh, Portugal, Thailand, and Washington DC). Supporting infrastructure includes research labs, centers (CyLab for security/privacy), the New Silicon Initiative (Apple partnership), and the Student Project Tracker platform. The department also hosts weekly graduate seminars featuring external speakers.

Differentiator

Problem solved

Functional benefit

Products and services

• BS in Electrical and Computer Engineering
• MS in Electrical and Computer Engineering
• MS in Artificial Intelligence Engineering
• MS in Software Engineering
• MS in Civil and Computer Engineering
• MS in Computational Systems Engineering
• PhD in Electrical and Computer Engineering

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 capability11 records

Partnerships

24 partnerships are on record, tiered core and minor.

• ARPA-HcoreStrategic or Co-development Partner · 14 October 2024ARPA-H awarded up to $42 million to a CMU-led team to accelerate development of implantable, cell-based bioelectronic devices that deliver patient-specific therapy and monitor disease status for conditions like hypo- and hyperthyroidism.
• NISTcoreStrategic or Co-development Partner · 30 September 2024NIST awarded $6 million to Carnegie Mellon University to establish a joint center to support cooperative research and experimentation for the test and evaluation of modern AI capabilities and tools.
• Mastercard FoundationcoreStrategic or Co-development PartnerHistoric partnership with Mastercard Foundation to expand engineering and technology, research, and entrepreneurship programs at CMU-Africa, strengthening Africa's technology, innovation, and research ecosystem.
• ApplecoreStrategic or Co-development PartnerApple's New Silicon Initiative Faculty Fellow Program strengthens engagement with university faculty and their research teams by fostering close collaboration with Apple engineers. Beidi Chen named Apple New Silicon Initiative Faculty Fellow.
• AmazoncoreStrategic or Co-development PartnerAmazon AI Ph.D. Fellowship Program supporting ten CMU doctoral students pursuing artificial intelligence research.
• Cadence Design SystemscoreStrategic or Co-development PartnerPartnership rooted in hands-on education and innovation. Cadence provides support for curriculum development, research collaboration, and industry connections. Cadence Day celebrated annually.
• PPG IndustriesminorStrategic or Co-development PartnerCMU partnered with PPG Industries to investigate encoding information in traffic paint to provide richer control on driving environments for machine perception systems.
• Allegheny Health NetworkminorStrategic or Co-development PartnerCollaboration with Allegheny Health Network's Neuroscience Institute to study deep brain stimulation for treating traumatic brain injuries, funded by The Chuck Noll Foundation.
• EgenminorStrategic or Co-development PartnerStrategic partnership to collaborate on AI-driven industry solutions.
• UltronAIminorStrategic or Co-development PartnerStrategic partnership to collaborate on AI-driven industry solutions.
• Advanced Micro Devices (AMD)minorStrategic or Co-development PartnerAMD donated a heterogeneous accelerated compute cluster to the Pittsburgh Supercomputing Center to support high-performance computing research.
• Intel/VMwarecoreStrategic or Co-development PartnerIntel/VMware Crossroads 3D-FPGA Academic Research Center formed to determine the role of FPGAs in extending performance and efficiency of future datacenters.
• BoschcoreStrategic or Co-development PartnerExtended collaboration with Bosch focusing on how virtual and physical worlds interact, including spatial computing research. Carnegie Bosch Institute provides framework for partnership.
• University of PittsburghcoreStrategic or Co-development PartnerOngoing collaboration on various research initiatives including brain research, power systems, neural interfaces, and transportation safety.
• West Virginia UniversityminorStrategic or Co-development PartnerCollaboration with West Virginia University and University of Pittsburgh on NSF Regional Innovation Engines program to reimagine energy in the region.
• CMU-Africa Partner InstitutionscoreStrategic or Co-development PartnerGlobal network including Portugal, Thailand campuses and research partnerships across Africa. CMU-Africa located within Kigali Innovation City.
• AfretecminorStrategic or Co-development PartnerAfretec awarded grants to build research capacity and work toward UN Sustainable Development Goals in Africa. $3.3 million awarded across 11 multi-university research teams.
• Bill & Melinda Gates FoundationcoreStrategic or Co-development PartnerFunding to bring together academia, government, and private sector to make digital financial services more accessible in Africa.
• Los Alamos National LabminorStrategic or Co-development PartnerLANL donated a supercomputer to be reconstructed into a computing cluster operated by the Parallel Data Lab and housed in Carnegie Mellon's Data Center Observatory.
• Air Force Research LaboratorycoreStrategic or Co-development PartnerCMU and Air Force Research Laboratory established 5-year, $7.5M Center of Excellence in data-driven materials research.
• QuadricminorStrategic or Co-development PartnerAI developer and processor manufacturing company donated developer kits for projects in ECE's Entrepreneurship course.
• Pearl Street TechnologiesminorStrategic or Co-development PartnerCMU spin-off developing software for clean energy, partnering with MISO to speed up interconnection studies for electric grid planning.
• EnverusminorStrategic or Co-development PartnerEnverus acquired Pearl Street Technologies to solve for a more reliable, resilient grid.
• OostominorStrategic or Co-development PartnerVisual AI company partnered with CyLab Biometrics Center. Marios Savvides joined as Chief AI Scientist to expand Oosto's AI team.

Scale indicators3 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• University of Michigan Electrical and Computer Engineering: Michigan ECE is a top-10 ranked direct peer operating at similar scale, with comparable research breadth across signals, systems, hardware, and cyber-physical systems.
• Princeton University Electrical and Computer Engineering: Princeton ECE is a top-tier research-teaching department with comparable PhD output, signals/systems focus, and selective admissions profile competing in the same applicant pool.
• MIT Electrical Engineering and Computer Science (EECS): MIT's EECS department at the College of Computing and Schwarzman College is the most direct peer, offering the same BS, MS, and PhD pathways in electrical and computer engineering with a comparable top-tier research profile and industry partnerships.
• Stanford University Electrical Engineering: Stanford's EE department within the School of Engineering is the closest West Coast analogue, with overlapping AI/ML, hardware, and signal-processing strengths and similar Silicon Valley industry ecosystems.
• University of Texas at Austin Electrical and Computer Engineering: UT Austin ECE is a top-10 ranked peer with comparable scale, strong semiconductor and AI/ML research, and rapidly growing industry partnerships in Texas.
• California Institute of Technology Electrical Engineering: Caltech EE is a smaller but elite research-focused comparator, with overlapping strengths in signal processing, photonics, and systems — competing for the same top-tier faculty talent.
• Georgia Institute of Technology Electrical and Computer Engineering: Georgia Tech ECE is a top-5 ranked US ECE program with a comparable scale of faculty, research output, and industry partnerships across semiconductors, signals, and computing.
• University of Illinois Urbana-Champaign Electrical and Computer Engineering: UIUC ECE is a long-standing direct peer with comparable BS/MS/PhD programs, large research faculty, and strong industry placement in computing and hardware companies.
• Cornell University Electrical and Computer Engineering: Cornell ECE (in Ithaca and NYC) is a direct peer with comparable AI, computer engineering, and hardware research strengths and similar industry partnership structures.
• UC Berkeley Electrical Engineering and Computer Sciences (EECS): Berkeley EECS is a direct competitor for top AI and systems faculty, with a public-university research mandate and very similar research output profile in circuits, AI, and security.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/CMU_ECE

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Carnegie Mellon University Electrical and Computer Engineering