Dr. Michael Mccarthy

Assistant Professor

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Biography

Michael McCarthy is an Associate Teaching Professor at Carnegie Mellon University’s Heinz College of Information Systems and Public Policy. He teaches graduate courses in Applied Cryptography, Distributed Systems, Internet of Things, Data Structures, and Algorithms. With over twenty years of university-level teaching experience, McCarthy has also served as the Director of Undergraduate Programs and as a Senior Lecturer in the Department of Computer Science at the University of Pittsburgh. He holds a BA in Philosophy and an MS in Information Science (with a Systems Track) from the University of Pittsburgh. His professional background includes working as a software consultant for engineering firms. McCarthy is a member of the Association for Computing Machinery (ACM) and has received several accolades for his teaching, including the Apple Teacher Award and the Teacher of the Year Award from Carnegie Mellon. His research interests center around standard data representation and data processing methods on the World Wide Web, Web of Things, Web Services, and the Semantic Web. He has supervised student projects that focus on IoT Blockchain Technologies and the development of Open APIs in the banking industry, among others.

Research Interests

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.