Data Science Minor Requirements
DATA SCIENCE MINOR
Students minoring in Data Science receive exposure to computational and applied statistical techniques. This minor provides a strong foundation for students preparing for employment in the data economy or graduate study. 6 courses are required to complete the minor.
MINOR REQUIREMENTS (6 Units)
- 1 introductory statistics course*:STAT 202-0 Introduction to Statistics, STAT 210-0 Introductory Statistics for the Social Sciences, STAT 232-0 Applied Statistics, or approved introductory statistics course from another department
- STAT 301-1 Data Science 1 (Fall quarter, pre-requisite introductory statistics)
- STAT 301-2 Data Science 2 (Winter quarter, pre-requisite STAT 301-1)
- STAT 301-3 Data Science 3 (Spring quarter, pre-requisite STAT 301-2)
- STAT 302 Data Visualization
- 1 approved elective course relevant to the minor
*In the event that an introductory statistics course is a requirement for a student’s major/minor, an acceptable replacement course will be identified during advising. Replacement courses may be taken prior to, concurrent with, or after the required data science courses. Courses used to fulfill the requirements for a major/minor typically may not be used to fulfill the requirements for the Data Science Minor.
If you are or are considering majoring/minoring in Statistics, please see the Data Science Minor for Statistics Majors page for modified requirement information
Expectations and coursework
Students will develop data acumen by learning how to ethically and effectively collect, process, explore, communicate, and make decisions with data and how to combine these components into an efficient data workflow.
The core courses (Data Science 1, 2, 3, and Data Visualization) are designed for students to develop the knowledge and skills needed to build an appropriate data workflow through project work. In each of these courses students will be expected to complete 1-2 weekly assignments and a final data project focused on a dataset they have sourced. Students should be prepared to dedicate approximately 7-12 hours per week outside of class to course work.
Declaring the Data Science Minor
Space in the Data Science Minor is limited and students are selected for to participate in a Data Science Minor Cohort by a lottery system. Selection for participation in a Minor in Data Science cohort is by lottery. Students are selected annually from a lottery to fill the available spots in the cohorts. Students not selected from the lottery are given the option to join wait lists for the cohort they were not selected for. Selection from the lottery is by random drawing. Lottery drawings for the cohorts are held annually in spring quarter.
The cohorts that we will be holding lottery drawings for in Spring 2021 are: 2021-2022, 2022-2023, 2023-2024
To enter the lottery, students must attend a required Minor in Data Science Information Session. To receive information about registering for one of the required sessions, students should add themselves to the Data Science Minor Lottery Notification List. Note: incoming first year students are not eligible to join the Data Science Minor Lottery Notification List until Fall quarter of their first year.
The Data Science Minor Lottery Notification List will close on March 31 and Minor in Data Science Information Sessions will be held in early April. Lottery drawings and advising for the students selected for the cohorts will begin in late April/early May. New minors are admitted during this period only.
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