Education at the Cutting Edge

At Old Dominion University’s (ODU) School of Data Science, we emphasize collaboration as a cornerstone of innovation through unique partnerships with nearby labs. Our faculty is evidence of this, working one-on-one with students as they embark on original research projects.

Our educators blend expertise in a range of disciplines, including computer science, mathematics, statistics, psychology, criminal justice, education, business, information technology, and philosophy.

Moreover, our students’ academic interests vary, creating a learning environment that encourages scholarly inquiry. At the School of Data Science, curiosity thrives, and today’s forward-thinkers become tomorrow’s changemakers.

Why Data Science at ODU?

Reflecting the intricate and often interconnected nature of data structures, Old Dominion’s School of Data Science blends diverse academic disciplines—all while building a throughline to discovery.

Collaboration & Innovation

As leaders in data science, it’s up to us to tackle today’s challenges so we can pave the way for future generations. At the School of Data Science, we accomplish this through collaboration with national labs, including the NASA Langley Research Center, the Thomas Jefferson National Accelerator Laboratory, and more.

Blended Expertise

Our school has more than 150 faculty members who offer expertise and mentorship so Old Dominion students can thrive both during their studies and after graduation. Their wealth of knowledge and willingness to experiment lead to exciting opportunities, bridging subjects as seemingly disparate as history and engineering.

Learn more about the School of Data Science.

Academic Program Highlights

M.S. in Data Science & Analytics

Old Dominion’s master’s in data science and analytics program trains students to use data to identify trends and patterns, solve problems, communicate results, and recommend optimal solutions. Not only do students benefit from our connections to nearby national labs, but they also develop the knowledge, skills, and abilities to apply discipline-specific scientific and theoretical concepts to real-world data science and analytics.

The program is available in person and fully online.

B.S. in Data Science

In this program, students learn how to use computational tools to uncover meaningful patterns in large datasets, turning raw data into actionable insights that solve real-world problems. ODU students master building models and creating visualizations that help translate complex data into knowledge, contributing to decision-making across various disciplines.

The program is available in person and fully online.

Admissions

Our graduate admissions process is straightforward, making it that much easier for you to take the next steps toward your academic and professional goals.

With the following materials, you can apply to the master’s in data science program and reach your full potential:

  • Transcripts
  • Essay
  • Resume
  • Two references

Visit the Graduate Admissions page for more information or review our admissions FAQs.

Financial Aid

We strive to make education affordable, and 75% of Old Dominion University students receive financial aid, amounting to $200 million in aid packages annually. Old Dominion offers many types of aid, including federal and state grants, scholarships, assistantships, and student loans.

 

Visit Us

Nestled along the coast of Norfolk, Virginia, Old Dominion University’s waterfront campus boasts a rich history of tradition and an R1 research designation. Come and see for yourself on an in-person campus tour, or visit us virtually.

 

Want to Know More? We’ve Got You Covered

You want to make an impact on the world, and we want to help you do it. As a student in the School of Data Science at Old Dominion University, you build collaborative partnerships, ideate and iterate, and discover solutions at the edge of what’s possible. 

Reach out to learn more about the School and our master’s in data science and analytics program—we’d love to hear from you.

Join Our Team

Are you interested in a position at the School of Data Science?

View open positions.