Masters in Data Science
Program Facts
College: College of Science and Mathematics
Major: Data Science
Degree Level: Master's
- On-Campus
- Hybrid
Credit Hours: 30 Hours
Duration: 18+ Months
Tuition & Fees
Estimated costs available via the calculator.

Overview
The MS in Data Science is designed to enhance and enrich training in the field of data science and to provide a rigorous depth and breadth of study for persons who plan to work as data scientists in industry or government agencies. The department offers two concentrations for this degree program, General Data Science and Mathematical Data Science. Mastering the tools that power the modern world opens the door to some of the most desirable, secure, and satisfying careers available, according to U.S. News & World Report’s Best Jobs of 2021.
In the MS in Data Science, we provide exceptional value with opportunities in and out of the classroom to gain the training and experience you need to advance your career in data science .
…Courses
More About the Program
In recent years, the best non-medical jobs have been mathematician, statistician and software developer, according to U.S. News & World Report. Data science is the fastest changing field at the intersection of all three. Data scientists know how to find patterns in data that solve problems in business, medicine, science, finance, security, government and many other fields. Our interdisciplinary degree is available to students from comprehensive backgrounds. Many data science certificate programs teach only basic skills and mechanics for using software that will be out of date a few years later. We will teach you to understand how the mathematics and code really work, so you can create, think deeply and thrive in an ever-changing data science career. With a data science master’s from Tarleton, you will graduate with both the coding skills to expertly wield the data science tools of today and the mathematical foundation to master and lead their evolution tomorrow.
Career Outcomes
- Data Scientist
- Statistician
- Research Analyst or Quantitative
- Business Intelligence Analyst or Financial Analyst (Economist)
- Medical Data Professional
- Fraud Analyst
- Software or Systems engineer
- Computer Programmer or IT Consultant