Bachelor of Science in Information and Data Sciences

The information and data sciences now draw not just upon traditional areas spanning computer science, applied mathematics, and electrical engineering - signal processing, information and communication theory, control and decision theory, probability and statistics, algorithms but also a range of new contemporary topics such as machine learning, network science, distributed systems, and neuroscience. The result is an area that is new, fundamentally different that related areas like computer science and statistics, and that is crucial to modern applications in the physical sciences, social sciences, and engineering. The Information and Data Science option is unabashedly mathematical, focusing on the foundations of the information and data sciences, across its roots in probability, statistics, linear algebra, and signal processing. These fields all contribute crucial components of data science today.

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