Data Science - Minor

Requirements for Minor in Data Science

Complete a minimum of 15 graded credits. A minimum of 3 courses/9 credits must be data science courses (DS XXXX) and include:

3 credit Foundational Programming course
3 credit Analytics course
3 credit Systems course
3 credit Data Design or Value course
DS 4002 or domain elective

Foundational Programming Course (select one course)

DS 1002 - Programming for Data Science Credits: 3
CS 1110 - Introduction to Programming Credits: 3
CS 1111 - Introduction to Programming Credits: 3
CS 1112 - Introduction to Programming Credits: 3
CS 1113 - Introduction to Programming Credits: 3
PHYS 1655 - Introduction to Python for Scientists and Engineers Credits: 3
The Foundational Programming requirement may not be substituted with test credit, another course taken at a higher level, or the CS 1110 place-out test. Students who are ineligible to enroll in a Foundational Programming course due to previous experience may take an additional course in another area to total 15 credits for the minor. Students should enroll in an approved minor course and email SDSMinor@virginia.edu to ensure the requirement is satisfied in SIS.

Analytics Course (select one course)

DS 3001 - Foundations of Machine Learning Credits: 3
CS 4774 - Machine Learning Credits: 3
PSYC - 5710 Machine Learning and Data Mining Credits: 3
STAT 5630 - Statistical Machine Learning Credits: 3

Completion

Completion of the Data Science minor requires a minimum of 15 credits. Data science courses count toward the graduation hours in any school of enrollment. Students should consult with their School of Enrollment for policies on double-counting credits.

Data Science - Minor

Requirements for Minor in Data Science

Foundational Programming Course (select one course)

Analytics Course (select one course)

Systems Course (select one course)

Data Design & Value Course (select one course)

Domain Elective (select one course)

Completion