The Minor in Data Science will expose students to conceptual framework for the emerging field of data science, including four central areas of focus: analytics, systems (data engineering), design (communications), and value (ethics). These components combine to form the practice of data science. Through exposure to these critical pillars of data science, students in the minor will receive the education needed to understand rapidly evolving data science concepts theoretically and for practical application.

Earning a Minor in Data science will prepare you for careers or post­graduate work using data skills while providing a solid foundation for further exploration in the field.

Prerequisite Courses

To qualify for the minor, students must take at least one of the following courses and earn a grades of C or better:

  • STAT 100 (An Introduction to Statistics)
  • STAT 1200 (Introduction to Statistics)
  • STAT 2120 (Introduction to Statistics Analysis)
  • STAT 1601 (Introduction to Data Science with R)
  • STAT 1602 (Introduction to Data Science with Python)
  • STAT 2020 (Statistics for Biologist)
  • APMA 3100 (Probability), APMA 3110 (Applied Statistics and Probability), or 3120 (Statistics)
  • Other courses may be considered upon request.

Minor Requirements

Minor students are required to take one course from each of the five categories listed below, two of which must be Data Science (DS) courses.

Foundational Programming Course (select one)

  • DS 2001: Programming for Data Science
  • CS 1110: Introduction to Programming
  • CS 1111: Introduction to Programming
  • CS 1112: Introduction to Programming
  • CS 2110: Software Development Methods

Analytics Course (select one) 

  • DS 3001 (formerly 4001): Practice of Data Science
  • APMA 3080: From Data to Knowledge

Systems Course (select one)

  • DS 3002: Data Science Systems 
  • CS 4750: Database Systems (for CS majors)
  • COMM 3220: Database Management Systems and Business (for Commerce majors)
  • SYS 2202: Data and Information Engineering (for Systems Engineering majors)

Data Design or Value Course (select one)

Recommended Courses:

  • SARC 5400: Data Visualization
  • DS 3003: Communicating with Data
  • APMA 2500/STS 2500 Ethical Analytics 

The below courses are also options:

  • COMM 3810: Business Ethics
  • LPPP 4210: Integrating Ethics in Public Policy
  • NASC 4200: Leadership and Ethics
  • NUIP 3311: Research, Ethics, Advocacy, and Leadership: Quality, Safety, and EBP
  • PLAN 3813-001: Methods of Community Research and Engagement, School of Architecture
  • LPPS 5360: Imagining Equitable Policy, Batten School
  • STS 4600 (3): The Engineer, Ethics, and Professional Responsibility
  • NUIP 4311: Research, Ethics, Advocacy, and Leadership
  • Other courses may be considered upon request.

Applied Data Science Course (select one)

  • DS 4002 Data Science Project Course - Students work in groups to complete several projects throughout the semester using different types of data (tabular, images, text, time etc.)
  • Data Science Applied Elective - Students can also select an applied data science course to be approved by the Program Director.

Declaring the Minor

Current undergraduate UVA students from any major and who have completed and earned grades of C or better in prerequisite courses can apply to the Minor in Data Science. Applicants must submit an Intent to Declare Form. Before you fill out the form, make sure you have reviewed the prerequisite and minor requirements above. You will be asked for the following information: 

  • Classes you have already taken that count toward the minor requirements
  • Proposed classes you plan to take in order to meet the minor requirements
  • Digital copy of your unofficial transcript 

Advising Appointments:

If you would like to learn more about the Minor in Data Science or the application process, reach out to Program Director Brian Wright to set up an advising appointment. 

Zoom Open Office Hours - FRIDAY MORNINGS

Join Brian during Open Office Hours to discuss and ask questions about the Minor, Fridays, from 9:30-11:00am on Zoom

Data Science Minor Admission Ambassadors


Brittany Nguyen

Brittany Nguyen

Connect with Brittany

Undergraduate Institution: University of Virginia
Major: Interdisciplinary Statistics with a Concentration in Econometrics
Minor: Data Science

Previous Work Experience:
Data Science Internship with Navy Federal Credit Union

What has been your favorite class in the program so far?
Practice of Data Science

What are your research/career interests?
My current undergraduate research for the UVA Statistics Department involves visualizing the size and growth of the department over time, using the R programming language.  The goal of the project is to demonstrate how the immense growth of the department over the last decade supports the need for an increase in faculty size.

What is a fun fact about you?
I have been on a sinking cruise ship!

Izzy Shehan

Izzy Shehan

Connect with Izzy

Undergraduate Institution: University of Virginia
Major: Computer Science
Minor(s): Data Science and French

What has been your favorite class in the program so far?
Data Science Systems with Jason Williamson

What are your research/career interests?
Natural Language Processing 

What made you choose UVA for your MSDS?
Charlottesville! It is a beautiful and active community. I fell in love with it the first day I visited. UVA gave me an incredible opportunity to study what I love surrounded by passionate and intelligent people.  

What is a fun fact about you?
I am on the ski team at UVA!