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Computer Science - Oral Qualifying Examination for Computer Science

This document sets forth the policies for the structure of the qualifying examination for Computer Science students in the School of Engineering and Applied Sciences. It is intended for students preparing for the examination as well as qualifying examination committee members.

Data Science 2: Advanced Topics in Data Science

APCOMP 209B
2026 Spring

Pavlos Protopapas, Alex Young
Monday, Wednesday, Friday
9:45am to 11:00am

Data Science 2 is the second half of a one-year introduction to data science. Building upon the material in Data Science 1, the course introduces advanced methods for statistical modeling, representation, and prediction. Topics include multiple deep learning architectures such as CNNs, RNNs, transfo...

Data Science 2: Advanced Topics in Data Science

COMPSCI 1090B
2026 Spring

Pavlos Protopapas, Alex Young
Monday, Wednesday, Friday
9:45am to 11:00am

Data Science 2 is the second half of a one-year introduction to data science. Building upon the material in Data Science 1, the course introduces advanced methods for statistical modeling, representation, and prediction. Topics include multiple deep learning architectures such as CNNs, RNNs, transfo...

Master's in Data Science

Master’s in Data Science Program Overview The Data Science master's program, jointly led by the Computer Science and Statistics faculties, trains students in the rapidly growing field of data science.  Data Science lies at the intersection of statistical methodology, compu...