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PhD Certificate in Human-AI Decision Making at Carnegie Mellon University

Carnegie Mellon University, United States

Programme overview

An interdisciplinary certificate for CMU doctoral students covering AI technologies and the science of human decision making. It prepares students to design, analyse and evaluate AI systems that support or augment human decisions at individual, organisational and societal levels.

Faculty: Dietrich College of Humanities and Social Sciences  |  Department: Social and Decision Sciences / School of Computer Science  |  Duration: Not fixed; designed not to extend time to degree (minimum 36 units, at least 24 non-PhD units)  |  Study mode: full-time  |  Location: Pittsburgh, PA, United States

What you will study

Four graduate courses (minimum 36 units): Human-AI Complementarity for Decision Making (10-736/88-836), one AI foundations course, one human decision science course and one interdisciplinary elective, plus a research paper or project combining AI and decision-science methods supervised or co-supervised by a CMU faculty member outside the home department.

Official programme page

Application information

Entry requirements

Open to CMU doctoral students.

Duration: Not fixed; designed not to extend time to degree (minimum 36 units, at least 24 non-PhD units)

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