634 Nedderman Hall
Box 19019
416 Yates Street
Arlington, TX 76019-0019
Data Science Master of Science Degree Program
Objective and Description
The purpose of the graduate program in Data Science is to expand students’ marketable skills and prepare them to enter a rapidly growing job field. The Master of Science (M.S.) degree in Data Science is designed to help meet the growing need for data science professionals in STEM, health-related, business, and other fields.
About the Program
The M.S. in Data Science degree program provides graduates with a wide variety 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 is intended to give those who successfully complete it:
- The acumen needed to draw insights from data.
- The ability to make sound decisions using data.
- The ability to effectively communicate about data-driven findings and decisions.
The M.S. in Data Science requires 30 hours and can generally be completed in two years.
- Core (18 hours)
- Electives (9 hours)
- Capstone (3 hours)
Candidate selection for the M.S. in Data Science program is a competitive process, considering GPA, TOEFL or IELTS (for non-English speaking candidates), reputation of the university where you did your undergraduate studies, and performance in the following classes:
- Programming
- Applied Mathematics
Note: The M.S. in Data Science no longer requires the GRE.
Admission & Degree Requirements Apply Today Data Science Degree Map Inquire Now Computer Science and Engineering Department
Requirements for Licensure or Certification
All discipline specific programs in the College of Engineering meet educational requirements for professional licensure or certification in all U.S. states, territories, and the District of Columbia.
Pursuing a Master's Degree in the College of Engineering
The responsibility rests with each student for knowing the rules, regulations, and filing deadlines of the Graduate School and their respective department. This page provides general information only. Requirements of the Graduate School and the academic department must be met.