Carnegie Mellon University - Statistics & Data Science
The Department of Statistics & Data Science at Carnegie Mellon University offers undergraduate, master's, and Ph.D. programs plus research centers in AI, epidemiology, forensics, and sports analytics, serving students and corporate partners.
- Company typePrivate
- Founded1966
- HeadquartersPittsburgh, United States
- Headcount11–50
- GTM typeB2C
- OfferingServices
What Carnegie Mellon University - Statistics & Data Science does
The Department of Statistics & Data Science is an academic unit within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences, founded in 1966 and based in Pittsburgh, Pennsylvania. It serves undergraduate students, Master of Science in Applied Data Science (MADS) graduate students, and Ph.D. students through degree programs in statistics, data science, and computational finance, including several joint Ph.D. options with Machine Learning, Public Policy, Neural Computation, and Engineering and Public Policy. The department operates an ecosystem of specialized research centers and labs — DELPHI (epidemic forecasting), CSAFE (forensic statistics), STAMPS (physical sciences), CMSAC (sports analytics), and the NSF-funded AI-SDM (AI for societal decision making) — covering domains such as neuroscience, finance, genetics, public policy, and high-dimensional inference.
The department's underlying technology spans statistical theory, machine learning methods, NLP/LLMs, generative models, optimization, time series forecasting, and multimodal data analysis. It generates revenue through tuition (undergraduate, MADS, Ph.D.), federally funded research grants (NSF, DOE), and corporate partnerships including capstone sponsorships and executive education. Its go-to-market is community-led, leveraging CMU's brand strength (top-20 US university, No. 1 in seven undergraduate categories), academic reputation, and industry partnerships to attract a globally distributed student body and corporate collaborators.
Carnegie Mellon University - Statistics & Data Science firmographics
Firmographics- Name
- Carnegie Mellon University - Statistics & Data Science
- Legal name
- Carnegie Mellon University - Department of Statistics & Data Science
- Website
- https://stat.cmu.edu
- Company type
- Private
- Founded year
- 1966
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- The Department of Statistics & Data Science at Carnegie Mellon University offers undergraduate, master's, and Ph.D. programs plus research centers in AI, epidemiology, forensics, and sports analytics, serving students and corporate partners.
- Ownership category
- akta.pro rank
Carnegie Mellon University - Statistics & Data Science industry classification
Industry- Product category
- Higher Education / Academic Statistics & Data Science Programs
- NAICS
- Colleges, Universities, and Professional Schools (6113), Colleges, Universities, and Professional Schools (61131)
- SIC
- Services-Educational Services (8200)
- akta.pro primary industry
- Online Technology & Computer Science Universities (EDAHALAH)
- akta.pro secondary industry
- Computer Science, IT & Data Science (EDAGABAB)
Keywords
Where Carnegie Mellon University - Statistics & Data Science is headquartered
LocationHeadquarters
- HQ city
- Pittsburgh
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Carnegie Mellon University - Statistics & Data Science business model
Business model- GTM type
- B2C
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Others
Revenue model
- Academic Programs: University department funded through tuition revenue from undergraduate and graduate programs, including Master of Science in Applied Data Science and various Ph.D. programs
- Research Grants and Contracts: Federal funding from NSF, DOE, and other research agencies supporting faculty research activities and laboratory operations
- Corporate Partnerships and Executive Education: Corporate engagement including capstone sponsorships, executive education programs, and continuing education offerings
Go-to-market motion1 record
Distribution channels4 records
Marketing channels4 records
Carnegie Mellon University - Statistics & Data Science product offering
Product offeringCore offering
The Department of Statistics & Data Science at Carnegie Mellon University delivers undergraduate, master's, and Ph.D. degree programs in statistics, applied data science, and computational finance, alongside an online graduate certificate. It advances statistical theory, machine learning, and applied research through specialized groups (DELPHI, STAMPS, CSAFE, AI-SDM, CMSAC) spanning epidemiology, physical sciences, forensics, societal decision making, and sports analytics.
Product overview
The Department of Statistics & Data Science at Carnegie Mellon University offers a comprehensive portfolio of academic programs and research initiatives. The educational offerings include undergraduate and graduate programs (MADS professional master's and Ph.D. programs with multiple joint degree options), along with an online graduate certificate. The department operates numerous specialized research groups and centers including DELPHI (epidemic forecasting), STAMPS (physical sciences statistics), CSAFE (forensic evidence), AI-SDM (societal decision making AI), and CMSAC (sports analytics). These programs and research units collectively form an integrated academic and research ecosystem focused on advancing statistical theory, methodology, and applications across diverse domains.
Differentiator
Problem solved
Functional benefit
Products and services
- Undergraduate Program in Statistics & Data Science Undergraduate major and minor in Statistics & Data Science offering comprehensive education in applied and methodological topics with excellent graduate school and job placement outcomes. Designed for prospective undergraduate students.
- Master of Science in Applied Data Science (MADS) Professional master's degree program in applied data science preparing students for industry careers in data science. Designed for early-career professionals and recent graduates seeking professional skill development.
- Ph.D. Programs in Statistics & Data Science Doctoral program with multiple joint degree options including Statistics/Machine Learning, Statistics/Public Policy, Statistics/Neural Computation, and Statistics/Engineering and Public Policy. Designed for advanced research students globally.
- Online Graduate Certificate in Foundations of Data Science Online graduate certificate program providing foundational data science education through CMU's online education platform. Designed for working professionals seeking a flexible, reputable credential without a full degree commitment.
- Summer Programs (Stat & DS Camp, Sports Analytics Camp, Bridges to Healthcare Technology) Summer programs for high school students including Stat & DS Camp, Carnegie Mellon Sports Analytics Camp (CMSACamp), and Bridges to Healthcare Technology. Designed for high school students seeking early exposure to data science concepts and career pathways.
Quantifiable outcome
- 96% of graduates reported having full-time positions or were accepted into a graduate program upon completing their programs
Companies that use Carnegie Mellon University - Statistics & Data Science
Customer profileNamed customers4 records
Segments5 records
Ideal customer profiles5 records
Carnegie Mellon University - Statistics & Data Science technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability8 records
Feature5 records
Carnegie Mellon University - Statistics & Data Science partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered major and core.
- Department of Energy (DOE)majorDOE Genesis Mission Grant awarded to Dietrich College experts to develop foundational AI tools for answering big questions about the universe, climate science, particle physics and beyond. CMU leads three Genesis Mission awards for AI advancement.
- Meta AI for GoodmajorPartnership between CMU's NSF AI Institute for Societal Decision Making and Meta's AI for Good program to develop dynamic situation reports for helping first responders address natural disasters.
- Heisman Trophy TrustcorePartnership with Heisman Hopefuls platform to provide fans with more informed and engaging voting experience while integrating advanced analytics. Carnegie Mellon Sports Analytics Center (CMSAC) provides analytics expertise.
- National Science Foundation (NSF)coreNSF AI Institute for Societal Decision Making (AI-SDM) is a major research institute hosted by CMU, developing AI tools for emergency response and societal decision-making in partnership with Meta.
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
Carnegie Mellon University - Statistics & Data Science competitors and assessment
Company assessmentDirect peers
- University of Washington Department of Statistics: UW Statistics offers comparable Ph.D. and MS programs with strong research output in biostatistics, ML, and data science. Similar positioning as a top public/private-affiliated research department.
- Stanford University Department of Statistics: Stanford Statistics is a top-tier peer — an elite private university statistics department offering Ph.D., MS, and undergraduate programs with similar interdisciplinary research in ML, biostatistics, and data science. Directly comparable in mission, program structure, and research output.
- University of Michigan Department of Statistics: Michigan Statistics is a leading public-university department offering Ph.D., MS, and undergraduate programs with comparable research breadth across applied and theoretical statistics. Strong data science program and industry placement.
- Duke University Department of Statistical Science: Duke Statistical Science offers Ph.D. and MS programs with strong interdisciplinary research in biostatistics, ML, and decision science. Comparable in size and research focus to CMU Stat & DS.
- Princeton University Department of Statistics and Machine Learning: Princeton's Statistics and Machine Learning (SML) Center is a direct peer, recently established with a similar mission combining statistics and ML at an elite private university. Comparable in prestige and interdisciplinary approach.
- Harvard University Department of Statistics: Harvard Statistics offers undergraduate and Ph.D. programs with similarly elite positioning. Comparable in brand strength, research output, and the intersection of theoretical statistics with applied/methodological work.
- MIT Department of Statistics and Data Science: MIT's Statistics and Data Science Center (IDSS) is the most direct peer — a world-leading academic unit at a top private university offering similar degree programs and research at the intersection of statistics and ML. Recently established (2015), it mirrors CMU's evolution toward data science.
- University of Pennsylvania Wharton Statistics Department: Wharton Statistics shares CMU's emphasis on computational finance and business-applied statistics. Comparable in offering data science programs with strong industry placement and corporate engagement.
- Cornell University Department of Statistics and Data Science: Cornell's Statistics and Data Science department is a direct peer at an Ivy-affiliated institution, offering similar undergraduate, MS, and Ph.D. programs with comparable research breadth.
- University of California, Berkeley Department of Statistics: Berkeley Statistics is a premier public-university statistics department with comparable Ph.D. and undergraduate programs, strong ML/statistics research output, and similar interdisciplinary positioning. Closest public-university analogue to CMU Stat & DS.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Carnegie Mellon University - Statistics & Data Science social profiles
Digital presenceCarnegie Mellon University - Statistics & Data Science financial estimates
Financial estimateRevenue estimate
Valuation estimate
Carnegie Mellon University - Statistics & Data Science leadership team
Management profileNumber of profiles
Carnegie Mellon University - Statistics & Data Science funding detail
Funding detailFunding overview
Funding rounds
Investors
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Carnegie Mellon University - Statistics & Data Science M&A and investment
M&A and investmentM&A
Investments
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Frequently asked questions about Carnegie Mellon University - Statistics & Data Science
What does Carnegie Mellon University - Statistics & Data Science do?
The Department of Statistics & Data Science at Carnegie Mellon University delivers undergraduate, master's, and Ph.D. degree programs in statistics, applied data science, and computational finance, alongside an online graduate certificate. It advances statistical theory, machine learning, and applied research through specialized groups (DELPHI, STAMPS, CSAFE, AI-SDM, CMSAC) spanning epidemiology, physical sciences, forensics, societal decision making, and sports analytics.
Is Carnegie Mellon University - Statistics & Data Science a public or private company?
Carnegie Mellon University - Statistics & Data Science is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was Carnegie Mellon University - Statistics & Data Science founded?
Carnegie Mellon University - Statistics & Data Science was founded in 1966. It employs 11 to 50 people.
Where is Carnegie Mellon University - Statistics & Data Science based?
Carnegie Mellon University - Statistics & Data Science is headquartered in Pittsburgh, United States, in the North America region.
How does Carnegie Mellon University - Statistics & Data Science make money?
Three revenue lines are on record. Academic Programs are the primary driver. The others are research Grants and Contracts and corporate Partnerships and Executive Education.
Who are Carnegie Mellon University - Statistics & Data Science's main competitors?
Direct peers on record are University of Washington Department of Statistics, Stanford University Department of Statistics, University of Michigan Department of Statistics, Duke University Department of Statistical Science, Princeton University Department of Statistics and Machine Learning, Harvard University Department of Statistics, MIT Department of Statistics and Data Science, University of Pennsylvania Wharton Statistics Department, Cornell University Department of Statistics and Data Science and University of California, Berkeley Department of Statistics.
Does Carnegie Mellon University - Statistics & Data Science have an API?
No public API is recorded for Carnegie Mellon University - Statistics & Data Science.
What industry is Carnegie Mellon University - Statistics & Data Science in?
Carnegie Mellon University - Statistics & Data Science's product category is Higher Education / Academic Statistics & Data Science Programs. Its primary akta.pro industry code is EDAHALAH, Online Technology & Computer Science Universities, with a secondary code of EDAGABAB, Computer Science, IT & Data Science. Its NAICS code is 6113 and its SIC code is 8200.