Data Science Minor

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(15-17 UNITS)

The Minor in Data Science exposes students to the foundations of data science and provides them with practical knowledge of the methods and techniques of data analysis. Moreover, students will be able to think critically about the implications of data analysis. From exposure to statistical concepts and probability theory to gaining practical knowledge in computational methods, students will be well-prepared to design and execute data analysis projects tailored to their fields of interest. The interdisciplinary minor will foster seamless integration of data science into various academic domains.

All courses must be passed with a “C” (2.0) or better.

Required (12-14 Units)

Data Science Introduction (3-4 units)

Machine Learning (3 units)

CPSC 483 - Introduction to Machine Learning (3)

Introductory Statistics (3-4 units)

Culminating Experience (3 units)

Any 495 Internship course (3)
Any 497 Undergraduate Project and Thesis course (3)
Any 499 Independent Research or Independent Study course (3)