MSc in Data Analytics and Information Systems (Non-thesis) in Round Rock United States | Texas State University

The Master of Science in Data Analytics and Information Systems program enables students taking nine credit hours per semester to complete their degree in three full semesters, while offering working professionals the option for part-time enrollment. Classes are held in the evening, available both in-person and through technology-enhanced formats at the San Marcos and Round Rock locations.
The field of data analysis, which focuses on extracting actionable insights to drive business decisions and create competitive edges, has gained significant traction across corporate and government sectors in recent years. Known by terms like Business Intelligence, Data Analytics, or Data Science, this evolving discipline blends mathematical modeling, statistical analysis, data visualization, and information systems. The surge in data analytics adoption stems largely from widespread digital transformation, generating vast datasets from organizational processes. This area has seen rapid expansion in recent years.
The MS in Data Analytics and Information Systems aims to equip graduates with the ability to leverage modern analytical methods and information technologies to produce valuable business intelligence. According to a KPMG study, 99% of executives surveyed emphasized the importance of big data management and analysis skills for strategic planning. Organizations now seek professionals proficient in handling large datasets and applying advanced analytical techniques. This program delivers comprehensive training in both information systems and data analysis, preparing students to manage and interpret data effectively for decision-making. The curriculum develops technical competencies essential for data science roles, covering areas like database management, SQL, programming in R and Python, descriptive/predictive/prescriptive analytics, machine learning, statistical computing, big data processing, and data visualization.