COURSE CURRICULUM

The Data Science specialization within the Computer Science program offers a comprehensive and interdisciplinary curriculum that combines core computer science principles with advanced data-focused coursework. Students begin with foundational studies in programming (CSCI 1030U, CSCI 1060U–1063U), calculus (MATH 1000U, 1010U, 1020U), linear algebra (MATH 2050U), physics (PHY 1010U, 1020U, 1030U), and statistics (STAT 2010U). They progress into specialized subjects like data structures (CSCI 2010U), database systems (CSCI 3030U), scientific data analysis (CSCI 2000U), machine learning (CSCI 4050U, 4052U), data mining (CSCI 4150U), big data analytics (CSCI 4030U), natural language processing (CSCI 4055U), and artificial intelligence (CSCI 4610U). Students also explore software systems (CSCI 2020U), algorithms (CSCI 3070U), ethics in computing (CSCI 4040U), and various applications such as computer vision (CSCI 4220U), mobile development (CSCI 4100U, 4101U), and web development (CSCI 3230U, 4230U). Courses in human-computer interaction (CSCI 4620U), information visualization (CSCI 4210U), and interactive media (CSCI 4160U) further enhance their skills. Integrated with communication (COMM 1050U, 1320U, 2620U) and business (BUSI 1600U, 1700U, 2000U, 2200U, 2311U) courses, this specialization prepares students for a wide range of data-centric roles in tech, business, research, and innovation.