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Undergraduate Record 2025-2026
Data Science, B.S.
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General Education Requirements (33 credits)
The School of Data Science will accept students from any of the College of Arts & Sciences general education curricular programs (Echols Scholars Program, Engagements Pathway, Disciplines Plus Pathway or Forums curriculum) and any other school of enrollment at UVA. Search course attributes in SIS for a list of courses that count toward general education requirements. The School of Data Science waives all general education curricular requirements for Echols Scholars. See the Simultaneous Counting of Courses and Cross-listed Courses section of this Record for policies regarding double-counting courses. The courses from the B.S. Data Science core that satisfy general education requirements are noted below. Rhetoric for the 21st Century: 6 credits required
First Writing Requirement 3 credits required
Students transferring from the School of Engineering and Applied Science can meet the First Writing Requirement one of two ways:
1. Students who have taken (and passed with a C- or better) both ENGR 1010 and ENGR 1020 can use those courses to satisfy the First Writing Requirement.
2. Students who have taken (and passed with a C- or better) only one course in the two-course sequence of ENGR 1010-ENGR 1020 must enroll in either ENWR 1510, ENWR 1520, or ENWR 1530 to fulfill First Writing Requirement. - DS 4022 - Data Science Project - Major Credits: 3
Satisfies Second Writing Requirement (3 credits) Quantification, Computation, and Data Analysis: 6 credits required - DS 2026 - Computational Probability Credits: 3
Satisfies 3 credits of the Quantification, Computation, and Data Analysis Requirement. Artistic, Interpretive, and Philosophical Inquiry: 3 credits required Chemical, Mathematical, and Physical Universe: 3 credits required Cultures and Societies of the World: 3 credits required Historical Perspectives: 3 credits required Living Systems: 3 credits required Social and Economic Systems: 3 credits required Science and Society: 3 credits required - DS 1001 - Foundation of Data Science Credits: 3
Satisfies the Science and Society Requirement.
Prerequisites
Completion of 24 credit hours at the University of Virginia by the end of the Spring of a student’s first year. This may include general education credits, credits toward another major or minor, and electives. Foundation of Data Science
Must be taken at UVA and completed with a grade of C- or higher. This may not be taken on a Credit/No Credit basis. Programming Requirement
There are multiple ways this requirement can be met. Program Requirements
CREDIT/GPA MINIMUMS
- Number of DS Course Credits required: 49
- Number of Credits required to be taken at UVA: 60
- Minimum CUM GPA to graduate: 2.00
- Total Credits required: 120 credits
Core Curriculum (40 credits)
Due to course sequencing and availability, students may not withdraw from a core course. Students must take courses for a letter grade and achieve a grade of D or better. - DS 2022 - Systems I: Intro to Computing - Major Credits: 3
- DS 2023 - Design I: Communicating with Data - Major Credits: 3
- DS 2024 - Value I: Ethics & Policy in Data Science - Major Credits: 3
- DS 2026 - Computational Probability Credits: 3
- DS 3021 - Analytics I: Foundations of Machine Learning Credits: 3
- DS 3022 - Data Engineering Credits: 3
- DS 3025 - Mathematics for Data Science Credits: 4
- DS 3026 - Principles of Inference and Prediction Credits: 3
- DS 4021 - Analytics II: Machine Learning Credits: 3
- DS 4024 - Value II: Explainable AI Credits: 3
- DS 4022 - Data Science Project - Major Credits: 3
- DS 4320 - Data by Design Credits: 3
One of the following Math courses - MATH 1190 - A Survey of Calculus I with Algebra Credits: 4
- MATH 1210 - A survey of Calculus I Credits: 3
- MATH 1310 - Calculus I Credits: 4
The Math requirement can also be satisfied through test credit (AB or BC Calculus with a score of 4 or 5, or IB HL Mathematics with a score of 5, 6, or 7), transfer credit allowed by the College of Arts & Sciences, and a higher-level Calculus course, such as MATH 1220 A Survey of Calculus II, MATH 1320 Calculus II, MATH 2310 Calculus III, or MATH 2315 Advanced Calculus and Linear Algebra.
For those who transferred from the School of Engineering and Applied Science, the calculus requirement may also be met by APMA 1090 Single Variable Calculus I, APMA 1110 Single Variable Calculus II, or APMA 2120 Multivariate Calculus.
Exceptions & Substitutions
Due to course sequencing, availability, and program learning outcomes, the School does not allow exceptions or substitutions within the core course requirements. Concentrations (9 credits)
Students must select at least one School of Data Science concentration. Each Concentration requires a minimum of three courses totaling 9 credits. School of Data Science Concentrations (must select at least 1)
Collaborative Concentrations (may select 1 or more)
Students may select one or more collaborative concentration, which combine data science courses with courses in departments across the University. It is the student’s responsibility to ensure they have met any prerequisites for the collaborative concentration courses. Educational Analytics Concentration
Educational Analytics, in partnership with the School of Education and Human Development Neuroscience (NESC) Concentration
Students must complete at least 3 courses totaling 9 credits from the restricted list below: Analytical Accounting Concentration
Students will complete each of the following courses: Environmental Science Concentration
Students must complete at least 3 courses totaling 10 credits for the Environmental Sciences Concentration from the following options: Astronomy Concentration
To complete the Astronomy Concentration, students must complete Calculus I (Math 1310 or 1210 or AP credit) and PHYS 1420/1425 and the following three courses: Human Movement and Physiology Concentration
Three courses are required to complete this concentration. Mathematics Concentration
Students must complete either of the following courses: Electives
Students are encouraged to explore courses of interest and majors and minors in other disciplines. Elective Course Options
Potential electives may include DS concentration courses not used toward a concentration or the following which is not an exclusive list: |
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