COURSE CURRICULUM

The Master of Science in Data Analytics and Information Systems at Texas State University is a 30-credit-hour graduate program designed to build advanced expertise in data-driven decision-making, information systems, and applied computing skills that are in high demand across industries. The program offers both thesis and non-thesis pathways, allowing students to choose between a research-focused academic track or a professionally oriented route that emphasizes applied skills and industry readiness. In addition to the general program options, students can specialize through targeted concentrations, including an Applied Artificial Intelligence concentration and a Supply Chain concentration, both available in the non-thesis format to support career-focused learning. The core curriculum develops strong competencies in data visualization, predictive and prescriptive analytics, machine learning, database systems, data warehousing, scientific computing, and query languages, ensuring that graduates are equipped to handle complex data environments and modern business intelligence systems. The Applied AI concentration focuses on integrating artificial intelligence techniques into real-world analytics applications, preparing students to work with intelligent systems, automation tools, and emerging AI-driven technologies. The Supply Chain concentration emphasizes analytics applications in logistics, operations, procurement, and global supply chain optimization, training students to improve efficiency and decision-making in complex production and distribution networks. The thesis option is designed for students interested in research or doctoral study, requiring independent investigation and scholarly contribution in a specialized area of data analytics or information systems. In contrast, the non-thesis option is structured for flexibility and professional advancement, often incorporating practical coursework and potential internship experiences. Overall, the program blends technical depth with applied business relevance, preparing graduates for roles such as data analyst, AI specialist, business intelligence professional, systems analyst, or supply chain analytics expert in a wide range of industries.