$102K
Online and In-Person Options
Hands-On Learning Projects
Learn Practical Principles in a Growing Field
As technology advances across industries, data science is becoming more important than ever. The University of Virginia School of Data Science's M.S. in Data Science and Ph.D. in Data Science programs are designed to start and boost careers with in-depth study of the latest research and discovery methods. With practical learning projects and a focus on language, computation and linear modeling, these programs are perfect for those who aspire to use data to solve real-world problems.
A Fast-Growing, High-Paying Career Path
Data scientist and data engineer are two of the fastest-growing jobs, according to LinkedIn's Emerging Jobs Report. The Bureau of Labor Statistics lists the median annual salary for data scientists as $103,500 in 2022, with the top 10% making an annual salary of $174,790.
Employment of data scientists is projected to grow 35 percent from 2022 to 2032, much faster than the average for all occupations. Data scientists can work in a variety of industries, including technology, science, healthcare, cybersecurity and more.
Expert Data Science Courses
In our data science programs, we offer courses that are designed for practicality and taught by expert faculty with experience in the field. Students have the opportunity to build professional relationships with their peers through their studies and will focus on cutting edge principles that have applications in many areas of data science.
Topics you'll learn:
- Bayesian Machine Learning
- Big Data Systems
- Business Analytics for Data Science
- Computer Science Fundamentals
- Deep Learning
- Ethics of Big Data
- Foundations of Computer Science
- Linear Models Practice and Applications
- Programming for Data Science
- Statistical Learning
A School Without Walls
The University of Virginia School of Data Science — the first of its kind in the nation — is guided by common goals: to further discovery, share knowledge, and make a positive impact on society through collaborative, open, and responsible data science research and education. By working with experts in diverse domains, applying data science to real-world issues, and learning both the practical application of data science and the principles behind it, our students are poised to become leaders and pioneers in the field.
Now accepting applications!