Nov 23, 2024  
2021-2022 Academic Catalog 
    
2021-2022 Academic Catalog [ARCHIVED CATALOG]

Department of Applied Data Science


Office: Student Union West

Telephone: 408-924-2639

Email: applied-data-science@sjsu.edu

Professors

Lee C. Chang, Chair
Subhankar Dhar, School of Information Systems and Technology
Jerry Z. Gao, Department of Computer Engineering
Simon Shim, Department of Computer Engineering
Ashraf Shirani, School of Information Systems and Technology

Assistant Professors

Shih Yu Chang
Seungjoon Lee
Vishnu Pendyala
Shayan Shams

Overview

The Applied Data Science Department offers academic programs to address emerging workforce demands of interdisciplinary talents designing and deploying intelligent solutions to real-world data challenges. Students acquire a comprehensive understanding and knowledge of the principles, methodologies and technologies of data science. Silicon Valley is known for its leadership in the big data economy and its demand of talents in response to the exponential growth of data. The department continuously seeks guidance from leading data professionals and companies to ensure that the curriculum is relevant for growing the talents needed in Silicon Valley. 

Local data professionals regularly interact with our students through teaching classes, speaking at seminars, sponsoring internships, and supervising master projects. Faculty members actively engage with industry partners and sponsors to assess our curricula and update learning objectives in order to provide the most up-to-date skills for supporting the innovations from this region.

The department is an academic hub, in partnership with other SJSU departments and industry partners, for promoting education and research in applied data science. In order to address the immense demands of data science professionals, the department launched an MS in Data Analytics program in August 2018. This program provides students with the advanced education necessary to draw insights from real data and apply analytical skills to solve practical problems.

Programs

Courses

    Data Analytics