58 PhD programmes offered by the university

This Statistics and Neural Computation at Carnegie Mellon University program allows students to pursue a Ph.D. that combines Ph.D.-level training in Statistics with a solid understanding of the elements of neuroscience via the Ph.D. Program in Neural Computation that is part of the Center for the Neural Basis of Cognition.

Graduates in the Economics program from Carnegie Mellon University have exceptional research training in economic theory and the quantitative tools required for innovative research on complex economic problems.

The Civil and Environmental Engineering - Engineering and Public Policy candidate at Carnegie Mellon University must pass the qualifying examination approved by both departments.

The Carnegie Mellon University Doctoral Program in History is small by design, enabling an exceptional level of individual attention from faculty.

The Department of Biological Sciences at the Carnegie Mellon University offers a vibrant research environment with world-class faculty leading the way in many areas of biological research.

The Ph.D. in Language and Information Technology at Carnegie Mellon University focuses on developing the next generation of scientific and entrepreneurial leaders.

The Ph.D. program in Business Technologies at Carnegie Mellon University gives students unparalleled expertise in economics of technologies. 

The doctoral program in Information Systems and Management at Carnegie Mellon University's Heinz College prepares students with a deep understanding of the technical and organizational aspects of information systems.

The Doctor of Design (DDes) at the Carnegie Mellon University is a three-year program for mid-career professionals aspiring to solve advanced problems in the fields of architecture, engineering, or construction.

The Robotics doctoral program at Carnegie Mellon University is committed to preparing students to be world-class researchers, creating knowledge and artifacts that can impact our society.

This Statistics and Machine Learning program at Carnegie Mellon University differs from the standard Statistics Ph.D. program in its emphasis on machine learning and computer science. 

The Ph.D. Program in Neural Computation at the Carnegie Mellon University seeks to train new scientists in the field. 

The primary goal of this program at Carnegie Mellon University is to educate and prepare future researchers and leaders in the field of Second Language Acquisition (SLA).

The Program in Systems Neuroscience (PSN) at Carnegie Mellon University trains students with backgrounds in biology and neuroscience disciplines in the growing field of quantitative systems neuroscience and also provides them the essential background in experimental neuroscience. 

Carnegie Mellon University's Ph.D. in Computer Science is, above all, a research degree. When the faculty award a Ph.D., they certify that the student has a broad foundation and awareness of core concepts in computer science, has advanced the field by performing significant original research and has reported that work in a scholarly fashion.

In addition to our Ph.D. in Computer Science and the dual degree with Portugal, we also the interdisciplinary Computer Science - Neural Basis of Cognition degree at Carnegie Mellon University. 

The PhD in Transition Design at Carnegie Mellon University is for people committed to making a positive change in the world. 

The purpose of the Ph.D. program in Financial Economics at Carnegie Mellon University is to educate students in the concepts and analytical techniques needed to understand and advance the frontiers of knowledge in financial economics.

Students at Carnegie Mellon University pursuing a Ph.D. in chemical engineering become independent researchers equipped to apply Chemical Engineering principles and advanced analytical and experimental techniques to solve open-ended research problems. 

Engineering and Public Policy at Carnegie Mellon University offers a doctoral program that helps students with technical backgrounds address policy issues focused on science and technology.