Master’s Degree in Data Science from The University of Texas at Austin
Data science and analytics is a booming field with various applications across industries, from information technology to business analytics to artificial intelligence. Be prepared for the fastest growing, highest demanded job prospect in recent history before you have work experience.
- An affordable education — Discover a high quality, highly engaging online Master’s Degree in Data Science program accessibly priced at $10,000.
- 100% online — Designed for online learners seeking a flexible education, complete from anywhere in as few as 18 months.
- Multidisciplinary learning — The University of Texas at Austin's Department of Statistics and Data Sciences has partnered with the Department of Computer Science to offer a Master of Science in Data Science online. This new online master's degree program embodies the defining principles of data science, combining the leaders from both fields to present a curriculum designed from the ground up.
Discover what The University of Texas at Austin offers
#10
Top Public Schools, National Universities. U.S. News & World Report, 2022
#14
Most Innovative Public School. U.S. News & World Report, 2021.
$10,000
Total tuition cost
Earn your MS in Data Science with The University of Texas at Austin
The degree program for data science offers foundational knowledge in statistical theory while preparing students to apply their skills in the computer science realm for wide industry applications. With a curriculum that includes courses such as simulation, data visualization, machine learning, and optimization, students can expect a rigorous curriculum that combines ideas and methods from both a statistical and computer science perspective.
Our data science program is designed to prepare you for the fastest growing, highest demanded job prospect in recent history before you have work experience. Step into the world of data-driven models and multi-dimensional datasets. Use computer programming and applied data science to find answers in the areas of bioinformatics, linguistics, industry, academia, government, healthcare, and nonprofits to name just a few.