36 Master's degrees in Data Science & Big Data in Texas, United States

The Post Graduate Programme in Data Science and Business Analytics (PGP-DSBA) is a 7-month online programme offered by the McCombs School of Business at The University of Texas at Austin and delivered in collaboration with Great Learning. 

This Data Science degree from Southern Methodist University is designed for current and aspiring data science professionals looking to gain the advanced skills needed to manage, analyze, mine and understand complex data to make strategic decisions in their organizations. 

The Master of Science in Data Science degree 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.

The Master of Science in Computer Science at Lamar University is designed to equip students with the essential skills for a successful career in the tech industry. This programme can be completed in two years and offers both thesis and non-thesis options. It is available through on-campus attendance.

The University of Texas at Austin offers a Master of Science in Data Science (M.Sc.) programme designed to equip students with essential skills for a rapidly growing field. This online course combines foundational and advanced topics over a duration of 30 credit hours, providing flexibility for students to learn at their own pace while balancing other commitments.

Rice University offers a Master of Data Science (MDS) degree designed for interdisciplinary professionals. This professional, non-thesis programme can be pursued online or on-campus, catering to various learning preferences. The degree encompasses a comprehensive curriculum that prepares graduates for the evolving demands of data science across multiple industries.

The Master of Science in Data Science offered by Texas A&M University-Corpus Christi prepares students for the increasing demand for skilled professionals in data science. This fully online programme equips learners with essential knowledge and skills over a duration of 30 credit hours, focusing on interdisciplinary approaches and real-world applications.

Mathematics is one of the most permanent and universal of the liberal arts and sciences. The courses offered by the Applied Data Science program at The University of St. Thomas (UST) recognizes mathematics as the universal tool for the life, natural, and social sciences.

The Data Engineering programme at Southern Methodist University is a comprehensive M.S. degree designed for both researchers and working professionals. This flexible course is available for full-time or part-time study, focusing on the acquisition, management, and security of complex data systems over a 30-credit duration.

The Economics - Applied Economics and Predictive Analytics at Southern Methodist University is a 30-credit hour Master of Science programme. Designed for flexible learning with evening classes, this degree provides comprehensive quantitative training for professionals seeking leadership roles in business and government.

The M.Sc. in Statistics and Data Science at the University of Houston is a one-year, 30-credit programme. Delivered in a public study mode, it focuses on statistical modelling and data mining. Students gain professional skills for data analysis roles through computational implementation and core theoretical training.

The Master of Science in Business Analytics at the University of Dallas equips students with essential skills to drive strategic decisions through data analysis. This 30-hour programme is designed for part-time study, allowing flexibility while preparing graduates for impactful careers in business analytics.

The Master of Science in Data Science at the University of North Texas is a comprehensive programme designed to equip students with essential skills in data analysis and interpretation. This degree typically spans two years and is available through various attendance formats, including full-time and part-time options.

The Computer Science (Data Science) programme at Texas State University culminates in a B.Sc. degree. This course is designed to equip students with essential skills in the field of data science. The duration and attendance format of the programme may vary, providing flexibility for students.

The Master of Science in Data Science at the University of Houston-Clear Lake is a comprehensive programme designed to equip students for a variety of roles in the data science field. This degree typically spans a duration of two years and offers both full-time and part-time attendance options, catering to diverse student needs and backgrounds.

The online M.Sc. in Statistics from Texas A&M University provides a flexible learning format, designed for working professionals. This programme allows students to earn their degree while maintaining their careers. The course duration is structured to accommodate both full-time and part-time attendance, ensuring accessibility for all learners.

Marymount University offers a Master of Science in Emerging Technology designed to equip students with essential skills for the evolving digital landscape. This degree programme, which can be pursued on a flexible basis, prepares graduates for advanced roles in technology over a duration that aligns with their individual pace and commitments.

The M.Sc. in Data Science at University of North Texas is a 36-credit hour postgraduate programme designed for the public study mode. Spanning approximately two years, this hybrid course equips students with advanced skills in data modelling, machine learning, and statistical analysis to solve complex global problems.

Turn data into discovery with a Master’s in Mathematics - Applied Statistics and Data Science from University of Texas Permian Basin.

Houston Christian University’s Master of Science in Data Science (MSDS) program is your gateway to this dynamic frontier. Offered through the esteemed College of Science and Engineering, this cutting-edge program equips students with the advanced technical skills, analytical acumen, and ethical framework needed to lead in the rapidly evolving field of data science.