The Data Science Minor is an interdisciplinary specialization that enables students to gain the skills necessary to perform data science tasks in conjunction with the skills that they learn in their major. In this Minor, students gain an understanding of key data science concepts such as how to program using data, use statistics on data, and how to use machine learning and statistical models. The Minor in Data Science is an interdisciplinary and interdepartmental undergraduate specialization administered through the Faculty of Science.
Admission to the Minor in Data Science: Students must apply to enter the Minor in Data Science through a process administered jointly by the Departments of Computer Science and Statistics. Applications are accepted once per year, in spring. Applicants must already have a primary specialization, and applications will not be accepted once the student has gained 4th year standing. See Faculty of Science Minor Options. The application can be accessed at the Data Science Minor website.
This minor consists of 33 credits, of which 18 must be at the 300-level or above.
18 credits from the following:
STAT 301, CPSC 330, and four of the following six options: