Carnegie Mellon University offers a PhD in Statistics - Engineering and Public Policy, focusing on developing advanced statistical methodologies to address complex challenges in energy systems, environmental policy, ICT policy, risk analysis, and R&D innovation. The program emphasizes interdisciplinary research and practical applications within public policy contexts.
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Carnegie Mellon University offers a PhD in Statistics - Engineering and Public Policy, focusing on developing advanced statistical methodologies to address complex challenges in energy systems, environmental policy, ICT policy, risk analysis, and R&D innovation. The program emphasizes interdisciplinary research and practical applications within public policy contexts.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
No Admission Requirement Available.
Starting 2025-08-01
Apply before None
Aug 2025
Curriculum: Theory and Practice of Policy Analysis Quantitative Methods for Policy Analysis Workshop in Applied Policy Analysis Regression Analysis Advanced Statistics
No academic requirements found.
No English language requirements found.
Applicants must submit undergraduate and graduate transcripts, a statement of purpose, three recommendation letters (optional), and GRE scores (not required for Fall 2022 onward, but still reportable). For non-native English speakers, TOEFL scores are required, with official score reports sent via designated codes (2074 for the institution, 59 for the department). Official transcripts should only be mailed upon admission offer.
₹45,71,655/Year
Annual Fee
10 years
Total Duration
No Living costs available.
No University Scholarships Available
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Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
2000 USD
Deadline
15 Apr 2025
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Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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