M.Sc in Data Science
The Master of Science in Data Science degree program at The University of Texas at Arlington helps meet the growing need for data science professionals in STEM, health-related and other fields, expanding students’ marketable skills and preparing them to enter a fast-growing job field.
Duration
2 years
Starting Date
January, May, August
Tuition Fee
$23,486 per year
Location
Texas City, United States
About the program
The Data Science degree program at The University of Texas at Arlington is unique for its breadth, offering a widely encompassing set of courses that allows students without a computer science background to develop the necessary skills for data science jobs in business, engineering, healthcare and science settings. It aims to instill the acumen needed to draw insights from data, to make sound decisions using data, and to effectively communicate about data-driven findings and decisions.
Key Features
- Students will use real-world problems, methods and data in instruction materials through collaboration with community partners; problem-based, experiential learning which emphasizes hands-on coding exercises; service learning in which students learn while doing for social good; and inclusive learning to broaden student participation and strengthen student retention in data science education.
- The degree requires 30 course hours and can be completed in two years. After completion of a set of core courses, students choose to pursue a specialty in either the engineering track (computer science or industrial engineering) or the science track (biology, geology, mathematics, or psychology). They will participate in a required capstone experience which can be integrated with workplace projects. Elective options offer additional flexibility to craft a degree that fits his or her specific situation.
Courses Included
- Computer science
- Industrial engineering
- Mathematics
- Data science