Education at the Cutting Edge
At 香港六合彩资料鈥檚 (香港六合彩资料) 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鈥 academic interests vary, creating a learning environment that encourages scholarly inquiry. At the School of Data Science, curiosity thrives, and today鈥檚 forward-thinkers become tomorrow鈥檚 changemakers.
Why Data Science at 香港六合彩资料?
Reflecting the intricate and often interconnected nature of data structures, Old Dominion鈥檚 School of Data Science blends diverse academic disciplines鈥攁ll while building a throughline to discovery.
Collaboration & Innovation
As leaders in data science, it鈥檚 up to us to tackle today鈥檚 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 , the , 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.
Academic Programs
M.S. in Data Science & Analytics
Old Dominion鈥檚 master鈥檚 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 .
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鈥檚 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.
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