Carnegie Mellon University

Pittsburgh, PA
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Class of 2029
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Key Facts

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    Faculty & Research

    374 faculty · 0 courses · data as of 2026-07-02

    Biomedical Engineering48 faculty avg h-index 31.1 #6 of 20 in Biomedical Engineering
    Howie Choset, Professor, Robotics and Biomedical Engineering h-index 66
    Notable: “Continuum Robots for Medical Applications: A Survey” (2015) · 1,503 citations
    Yongjie Jessica Zhang, George Tallman Ladd and Florence Barrett Ladd Professor h-index 57
    Notable: “Isogeometric fluid-structure interaction: theory, algorithms, and computations” (2008) · 925 citations
    Robert D. Tilton, Chevron Professor h-index 56
    Notable: “Aggregation and Sedimentation of Aqueous Nanoscale Zerovalent Iron Dispersions” (2006) · 1,067 citations
    Adam W. Feinberg, Professor, Biomedical Engineering and Materials Science h-index 52
    Notable: “Three-dimensional printing of complex biological structures by freeform reversible embedding of suspended hydrogels” (2015) · 1,786 citations
    Computer Science40 faculty avg h-index 36.3 #2 of 88 in Computer Science
    Christos Faloutsos, Fredkin University Professor of Computer Science h-index 132
    Notable: “On power-law relationships of the Internet topology” (1999) · 4,258 citations
    Phillip Gibbons, Professor h-index 83
    Notable: “Advances and Open Problems in Federated Learning” (2020) · 4,763 citations
    Gregory Ganger, Professor, Affiliated Faculty h-index 71
    Notable: “Heterogeneity and dynamicity of clouds at scale” (2012) · 1,041 citations
    Alan Frieze, University Professor, Affiliated Faculty h-index 65
    Notable: “Min-Wise Independent Permutations” (2000) · 833 citations
    Mechanical Engineering40 faculty avg h-index 32.1 #19 of 70 in Mechanical Engineering
    Carmel Majidi, Clarence H. Adamson Professor h-index 85
    Notable: “Soft Robotics: A Perspective—Current Trends and Prospects for the Future” (2013) · 1,280 citations
    Liwei Wang, Assistant Professor h-index 60
    Notable: “Sorption thermal storage for solar energy” (2013) · 576 citations
    Jonathan Cagan, Department Head, George Tallman and Florence Barrett Ladd University Professor h-index 55
    Notable: “A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty” (2010) · 389 citations
    Sheng Shen, Professor h-index 46
    Notable: “Polyethylene nanofibres with very high thermal conductivities” (2010) · 901 citations
    Statistics38 faculty avg h-index 31.7 #6 of 29 in Mathematics & Statistics
    Kathryn Roeder, UPMC University Professor of Statistics and Life Sciences h-index 86
    Es on developing statistical methods for analysis of genetic and genomic data with an aim to find associations between patterns of genetic variation and complex disease. To solve biologically relevant problems, her team utilizes modern stat
    Robert Kass, Maurice Falk Professor of Statistics & Computational Neuroscience h-index 62
    I am broadly interested in developing and understanding statistical methods in neuroscience, especially involving approaches from Bayesian analysis, graphical models, multivariate analysis, high-dimensional inference, point processes, and t
    Notable: “Bayes Factors” (1995) · 12,309 citations
    Larry Wasserman, UPMC University Professor h-index 52
    My research interests include machine learning, high dimensional inference, nonparametric inference, statistical topology, and astrostatistics. Areas of Research Causal Inference DELPHI STAMPS Foundations of Inference Statistical Machine Le
    Notable: “A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion” (1995) · 1,216 citations
    Jing Lei, Professor h-index 46
    My main research area is statistical theory and methodology, including: Analyzing statistical properties of some popular methods and algorithms in machine learning and engineering, such as the particle filter, spectral clustering, and spars
    Electrical Engineering34 faculty avg h-index 31.1 #16 of 34 in Electrical & Computer Engineering
    Qing Li, Associate Professor h-index 81
    Ed on developing optical signal processing technologies in both silicon and silicon nitride platforms. After graduation, he worked as a CNST/UMD postdoctoral researcher in National Institute of Standards and Technology. His work at NIS
    Notable: “An Aqueous Route to Multicolor Photoluminescent Carbon Dots Using Silica Spheres as Carriers” (2009) · 949 citations
    David Allstot, Distinguished Special Professor h-index 55
    Notable: “Bandwidth Extension Techniques for CMOS Amplifiers” (2006) · 368 citations
    Gary Fedder, Hamerschlag University Professor h-index 47
    Design and modeling of microsensors and microactuators, fabrication of integrated MEMS with electronic circuits using conventional CMOS processing, and implantable microsystems. In 2007, he was elevated to IEEE Fellow for contributi
    Notable: “A low-noise low-offset capacitive sensing amplifier for a 50-/spl mu/g//spl radic/Hz monolithic CMOS MEMS accelerometer” (2004) · 318 citations
    Swarun S. Kumar, Sathaye Family Foundation Professor h-index 36
    Notable: “Decimeter-level localization with a single WiFi access point” (2016) · 631 citations
    Systems Science and Theory32 faculty avg h-index 36.2 #3 of 13 in Interdisciplinary Studies
    Tom Zimmermann, Professor h-index 73
    Notable: “Software Engineering for Machine Learning: A Case Study” (2019) · 1,061 citations
    Christian Kastner, Professor h-index 68
    Notable: “Granularity in software product lines” (2008) · 495 citations
    Bogdan Vasilescu, Professor h-index 41
    Mayank Goel, Professor h-index 35
    Es on designing, implementing, and testing new sensing systems using sensors and devices that are already present in the environment. This approach allows us to add various functionalities to our daily-use devices without making any hardwar

    Faculty counts are directory headcounts; the named list may be a subset. h-index shown only for ORCID-backed or high-confidence OpenAlex matches. Partial — enrichment ongoing.

    Demographics

    Student Outcomes

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    About Carnegie Mellon University. Carnegie Mellon University in Pittsburgh, PA reports an overall acceptance rate of 11.1%, an early-round acceptance rate of 20.6%, an SAT middle 50% of 1510–1560, a class size of 1,808, and a yield of 47.0% based on the most recent Common Data Set filings. Top for CS/Engineering/Fine Arts. Acceptance rate varies dramatically by school (SCS ~3%, CFA ~8%, etc.).

    Admissions and cost data as of July 3, 2026 (CDS 2024–25 cycle), from the most recent Common Data Set, IPEDS, and College Scorecard.

    Carnegie Mellon University: key admissions facts

    Carnegie Mellon University's overall acceptance rate is 11.1% (the most recent Common Data Set). Carnegie Mellon University's early-round acceptance rate is 20.6% (the most recent Common Data Set). Carnegie Mellon University's SAT middle-50% range is 1510–1560 (the most recent Common Data Set). The average unweighted GPA of admitted students at Carnegie Mellon University is about 3.91 (the most recent Common Data Set). Carnegie Mellon University's yield rate (the share of admitted students who enroll) is 47.0% (the most recent Common Data Set). The average net price at Carnegie Mellon University for families earning under $75,000 is about $20,537 per year (U.S. Department of Education College Scorecard/IPEDS data).

    Sources: Common Data Set (commondataset.org) · Carnegie Mellon University on College Scorecard · NCES IPEDS · full source table

    How much does Carnegie Mellon University cost for a family earning $75,000?

    A family earning under $30,000 pays about $18,265 per year in net price at Carnegie Mellon University, while families earning over $110,000 pay about $45,428 (source: U.S. Department of Education College Scorecard/IPEDS data). A family earning $75,000 falls in the $48,001–$75,000 bracket and pays about $22,744 per year after grants and scholarships.

    Carnegie Mellon University: average annual net price by household income (most recent College Scorecard/IPEDS data)
    Household incomeAverage net price per year
    Under $30,000$18,265
    $30,001–$48,000$20,602
    $48,001–$75,000$22,744
    $75,001–$110,000$29,532
    Over $110,000$45,428
    Tuition (before aid)$67,020
    Room and board$18,894

    Frequently asked questions

    What is the acceptance rate at Carnegie Mellon University?

    Carnegie Mellon University's overall acceptance rate is 11.1%, based on the most recent Common Data Set. Its early-round (early decision or early action) acceptance rate is 20.6%.

    What SAT score and GPA do you need for Carnegie Mellon University?

    Admitted students at Carnegie Mellon University typically have an SAT middle-50% range of 1510–1560 and an average unweighted GPA of about 3.91, according to the most recent Common Data Set. These are the middle of the range, so scores above them strengthen an application.

    Is it hard to get into Carnegie Mellon University?

    Getting into Carnegie Mellon University is very difficult: it admits 11.1% of applicants. Your realistic odds depend on how your GPA and test scores compare to its middle-50% ranges and on your application round — you can estimate them with the free College Monte Carlo chances calculator.

    Does Carnegie Mellon University offer early decision or early action?

    Carnegie Mellon University offers early decision (binding). Applying early can help: its early-round acceptance rate is 20.6%, versus 11.1% overall.

    How much does Carnegie Mellon University cost after financial aid?

    The average net price at Carnegie Mellon University — the real cost after grants and scholarships, not the sticker price — is about $20,537 per year for families earning under $75,000, based on U.S. Department of Education College Scorecard/IPEDS data. Higher-income families generally pay more; see the full net-price-by-income breakdown.

    How much does Carnegie Mellon University cost for a family earning $75,000?

    A family earning under $30,000 pays about $18,265 per year in net price at Carnegie Mellon University, while families earning over $110,000 pay about $45,428 (source: U.S. Department of Education College Scorecard/IPEDS data). A family earning $75,000 falls in the $48,001–$75,000 bracket and pays about $22,744 per year after grants and scholarships.

    Not sure how to read these numbers? Start with our guide on how to estimate your admission chances. Carnegie Mellon University offers a binding early-decision round, so weigh the trade-offs in our early decision vs. regular decision guide before committing.