B.S. in Data Science Overview
Curriculum
The BSDS curriculum provides a solid foundation in the key data science principles and applications necessary to support organizational data needs and strategies. Students will gain proficiency in the fundamentals of data science programming, mathematical and analytical algorithms, data systems and pipelines, and data visualization and presentation.
With an emphasis on developing students’ ability to tackle real-world problems, the core coursework will equip students to understand and correctly apply data science in a broad range of organizations and contexts.
Learning Outcomes
Pursuing a B.S. in Data Science will prepare you to become an expert in the field and work at the cutting edge of a new discipline. According to LinkedIn’s most recent Emerging Jobs Report, data science is booming and data scientist is one of the top three fastest-growing jobs. A B.S in Data Science from the University of Virginia opens career paths in public or private industry. Graduates of our program will:
- Identify, formulate, and solve complex problems by applying principles of data analytics, mathematics, systems, value, and design
- Effectively communicate data products and findings to a range of audiences
- Assess and diagnose ethical and professional conflicts in data science to make informed judgments
- Appreciate the benefit of diverse perspectives when working within and leading data science teams
- Lead and complete data-driven projects by establishing clear goals, planning tasks, and meeting objectives
The B.S. in Data Science degree program will require 120 credit hours. A final project course will be required. The Undergraduate Record represents the official repository for academic program requirements.
Program Requirements
Prerequisites for Admission
Prerequisites
The BSDS program has prerequisites of the following two courses, which must be completed or in progress at the time of application:
- DS 1001: Foundation of Data Science (3 credits)
- DS 1002: Programming for Data Science (3 credits)*
Both courses are offered in the fall and spring semesters, do not have prerequisites, and may be taken concurrently. Students interested in pursuing the BSDS program must take both courses in their first-year to be eligible to apply.
Learn more about the application process on our Admissions page.
*Refer to our FAQs for alternatives to DS 1002.
BSDS Curriculum
Once admitted to the program, BSDS students will follow a three-year curriculum. Courses used to satisfy requirements in the Data Science Minor (DS 2002, DS 2003, DS 2004, DS 3001, & DS 4002) do not fulfill requirements in the B.S. of Data Science.
First Year of Major: Understand
Fall
- DS 2022 – Systems I: Intro. to Computing
- DS 2026 – Computational Probability
- MATH 1190/1210/1310 or APMA 1090 – Calculus I*
Spring
- DS 2023 – Design I: Communicating with Data
- DS 3021 – Analytics I: Machine Learning I, Foundational Concepts
- DS 3025 – Mathematics of DS
Second Year of Major: Apply
Fall
- DS 2024 – Value I: Ethics & Policy in DS
- DS 3022 – Data Engineering
- DS 4021 – Analytics II: Machine Learning
Spring
- DS 3026 – Principles of Inference & Prediction
- DS 4320 Data by Design
- DS 4024 – Value II: Explainable AI
Third Year of Major: Analyze, Evaluate, Create
Fall
- Concentration Course
- Concentration Course
- Concentration Course
Spring
- DS 4022 – Data Science Project
- 2nd Concentration Course (Optional)
- 2nd Concentration Course (Optional)
*AB or BC Calculus with a score of 4 or 5, or IB HL Mathematics with a score of 5, 6, or 7 will also meet this requirement.
Sample Concentrations
All students will select at least one concentration (3 classes/ 9 credits) from among several different options offered within the School of Data Science and in collaboration with other schools across Grounds. Students may elect to complete more than one concentration.
Sample Concentrations:
- Analytics Concentration
- Systems Concentration
- Design Concentration
- Value Concentration
General Education Requirements
First-year prospective BSDS students are advised to stay on track with the curricular requirements of their home school; any course completed that does not count toward the School of Data Science's General Education Requirements will count toward overall degree credits. Additionally, we strongly encourage first-year students to take their First Writing Requirement and Calculus I. Refer to the BSDS FAQs for more information. The Undergraduate Record is the official repository for all academic information, including the full list of BSDS General Education Requirements.
Careers in Data Science
According to the U.S. Bureau of Labor Statistics, employment of data scientists is expected to grow by 36% over the next decade with about 20,800 annual job openings. The B.S. in Data Science prepares students to become experts in the field, work at the cutting edge of a new discipline, and thrive in a data-centric world.
In addition to UVA Career Center, students in the BSDS have access to the School of Data Science's career resources, including:
- One-on-one career coaching
- Workshops to prepare for the internship and job search
- Industry-led technical talks
- Career development series specific to BSDS students
- Access to professional development funds
- Faculty mentoring
...and more! Visit SDS Career Services for more information.
