Your Online Experience

Students will enjoy a seamless virtual university experience combining live sessions and coursework that can be completed on the student’s own time.

“The online classes are very convenient. It’s also nice that the professors and instructors are so great about being flexible. They know we’re all working in jobs and have other obligations as well. So that component has been a real plus. I don’t think I’ve ever taken an online class before this, but we use Zoom for all the classes and that’s been super easy, thanks, in part to the breakout function and the breakout rooms.”

Brooke Williams ‘23

Weekly Breakdown

The online MSDS employs a flipped classroom model to accommodate the needs of students balancing professional and academic goals. Flipped classrooms are learner-focused environments that allow students to explore course topics independently, outside of class, using asynchronous course content. Live classroom time serves as a forum for class discussion aimed at deepening student understanding of course material. Students also have the option to attend live faculty office hours and group study sessions throughout the week.

Each week, students can expect one hour of live synchronous time per course, which will be scheduled in the evenings during weekdays. On a weekly basis, most part-time online MSDS students typically spend seven to nine hours per course completing asynchronous content, which includes homework, projects, and readings. However, the workload can vary by student and by course, and total hours may depend on learning styles and level of comfort with program prerequisites.

Sample Weekly Flipped Classroom Schedule

Independent Asynchronous Classwork

A computer screen.

Each week, you will work to build your knowledge of course concepts according to your own schedule, prior to each week’s synchronous class meeting. With the flipped model, you’ll complete rigorous, self-paced, and instructor-guided modules and coursework that you’ll advance in live classes.

Live Synchronous Classes

Professor in front of a white board.

Live classes, taught by the same faculty as our on-Grounds programs, are designed to expand upon the asynchronous foundation and challenge your data science understanding. Each class will prompt discussion, with a focus on hands-on simulations and real-world applications.

Independent Real-World Assignments

A book.

Following classes, you will practice what you learned through coding exercises and data analysis designed to challenge your knowledge of course topics and build proficiency in data science technologies and methodologies with a focus on solving real-world problems.


The MSDS Curriculum draws from multiple disciplines to give students a comprehensive and holistic approach to data science.

Learn More

Online Technologies

Powered by innovative digital technologies, our online curriculum seamlessly integrates learning management tools to create a hands-on online learning experience through asynchronous and synchronous coursework.

Zoom provides students with live face-to-face learning experiences through high quality video calls. Calls facilitate peer-to-peer collaboration via the breakout sessions and allow students to connect one-on-one with faculty from anywhere in the world.
Kaltura is an online video platform that enables students to connect. It strengthens learning outcomes through virtual classrooms, lecture capture, webinars, and live events. Kaltura gives students a platform to engage with student life beyond the physical campus.
UVACollab is an online Learning Management System (LMS) MSDS students utilize to access asynchronous coursework completed outside of classroom (synchronous) discussions.

Learn More about Curriculum

Upcoming Events

UVA MSDS Application Overview Webinar
Tuesday, February 9, 20217:00 PM ET
Are you ready to lead and drive change with the power of Data Science? Join the UVA School of Data Science's enrollment team to learn more about our online Master’s of Data Science program. During this event you will learn how our innovative online experience, industry-leading curriculum and distinguished faculty can prepare you for the future of data science. This opportunity will provide an overview on the application, and get you better prepared to complete the application process.