M.S. in Data Analytics and Information Systems from Texas State University 2026 Entry: Fees, Eligibility, Entry Requirements, Admission Deadlines & Scholarships.

 Years

 Core Modules

 Optional Modules

Year 1

• Optimization for Business Analytics

• Statistical Methods for Business

• Database Management Systems

• Computing for Data Analytics

• Forecasting and Simulation

• Analytics

• Data Warehousing

• Machine Learning

For Thesis Option

• Thesis

• Additional Thesis Research

For Non-Thesis Option:

• Management Electives
• Prescribed Electives

• Management Electives:

  • Operations Management

  • Information Technology in Digital Economy

  • Agile Project Management for Business Professionals

  • Introduction to Design Thinking

  • Accounting Analysis for Managerial Decision Making

  • Organizational Performance and Competitive Advantage

  • Process Improvement Management in Organizations

  • Supply Chain Management

  • Marketing Management

  • Digital Marketing

• Prescribed Electives:
  • Probability and Statistical Models

  • Data Mining

  • Independent Study in Analytics

  • Statistical Computing

  • Internship in Analytics

  • Independent Study in Information Systems

  • Enterprise Resource Planning and Business Intelligence

  • Internship in Information Systems

  • Multivariate Quantitative Methods

  • Geographic Information Systems I

  • Geographic Information Systems II

  • Health Informatics and Data Visualization

  • Healthcare Informatics

  • Advanced Statistical Design of Experiments for Engineers

  • Applied Deterministic Operations Research for Engineers

  • Non-Linear Optimization Techniques for Engineers

  • Data-Intensive Analysis and Simulation for Engineers

  • Marketing Research Methods

  • Qualitative Research in Marketing

  • Marketing Analytics

  • Contemporary Topics in Marketing Analytics

  • AI and Data Visualization for Marketing

  • Econometrics

  • Financial Analytics