Overview of the Computer Science Department's Graduate Programs
Overview
Abstract
The Department of Computer Science at SFSU offers two master’s degree programs: the Master of Science in Computer Science and the newer Master of Science in Data Science and Artificial Intelligence, launched in Fall 2022. The M.S. in Computer Science provides a broad continuation of the knowledge and skills developed during an undergraduate computer science degree, while the M.S. in Data Science and Artificial Intelligence focuses on areas at the forefront of today’s rapidly evolving AI landscape.
This presentation will provide an overview of both programs, including their academic focus, degree requirements, and different pathways toward earning a master’s degree in our department. It is intended both for new and continuing graduate students who would like to better understand their program options, and for undergraduate students who are considering pursuing a master’s degree after completing their bachelor’s degree.
All interested students are welcome to attend and learn more about the opportunities and benefits offered by our graduate programs.
Biography
Dr. Timothy Sun is an Associate Professor of Computer Science at San Francisco State University and Graduate Coordinator for the CS department. His research interests are broadly in CS theory, with specific interests in graph theory and graph algorithms. He has also worked on research projects in CS education and the mathematics of puzzles.
Dr. Arno Puder is a Professor at the San Francisco State University and the current chair of the Computer Science Department. Prior to his current position, he worked for AT&T Labs Research and Deutsche Telekom AG. His interests include IoT, applications for sensor networks and retro-computing. He is the founder of the Open Source project XMLVM, a byte-code level cross-compiler. He recently collaborated with the Seismology Department at UC Berkeley and Deutsche Telekom AG on MyShake, an early warning system for earthquakes.