Program type:


On Campus
Est. time to complete:

1-2 years
Credit Hours:

Learn the science of decision making with an M.S. in Business Analytics from UNT.
The Master of Science in Business Analytics is designed to provide an appropriate base of knowledge for entry into the data science, business analytics, data engineering or business intelligence fields. This STEM-approved program is intended for those students who desire a strong, specialist degree in Business Analytics that incorporates a solid understanding of both the application and use of business analytics and technology that underlies and facilitates those applications.

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Why Earn a Business Analytics Master's?

Our master’s program in Business Analytics provides a sound business foundation for a career in the field of analytics, built on technical competencies, core business principals, effective communication, and leadership. We offer courses in predictive analytics and business forecasting, AI, data engineering, and data architecture, which prepare our graduates for a workplace in data science, data engineering, and data analyst roles.

Our faculty consists of distinguished scholars and esteemed practitioners who are committed to student success. In addition to winning numerous awards for teaching excellence and curriculum development, our faculty helps shape the future of the information systems and business analytics disciplines by serving in important leadership positions in professional associations. The faculty’s award-winning research is featured in leading publications.

Marketable Skills
  • Statistics
  • Mathematical model development and tuning
  • Data engineering principles
  • Data architecture strategies
  • Digital data sources access/analysis
  • Mathematical estimation, inference, and forecasting

Business Analytics Master's Highlights

More than 700 companies have offered paid internships over the past three years to UNT business students.
Corporate and academic partnerships with companies like Fidelity Investments, CitiBank, PepsiCo, StateFarm, Dell, Google Cloud and more.
Allows for up to 12-month Curricular Practical Training and 36-month Optional Practical Training.
Track options include Data Science and Advanced Analytics, Data Engineering and Business Intelligence, Operations Analytics, Marketing Analytics, Audit/Fraud Analytics and Risk Analytics.
UNT’s location opens up a wealth of career, networking and internship opportunities. UNT is 40 miles north of the Dallas-Fort Worth area, home to the nation’s fourth largest concentration of Fortune 500 companies.

What Can You do With a Business Analytics Master's?

Career Outcomes

  • Business Intelligence Specialist
  • Data Analyst
  • Data Engineer
  • Data Scientist
  • and many more...

Big name companies that hire our graduates, include:

  • Texas Instruments
  • Toyota
  • PepsiCo
  • Hitachi
  • IBM
  • Tesla
  • Amazon

Average Salary

  • $86,000*

* Average ITDS Graduate student salary reported within 90 days of graduation.

Hear from partners and students here.

Business Analytics Master's Courses You Could Take

Predictive Analytics and Business Forecasting (3 hrs)
Covers major topics used in developing predictive modeling and applied statistical forecasting models that are of major interest to business, government and academia. These include exploring the calibration of models, the estimation of seasonal indices and the selection of variables to generate operational business forecasts.
Artificial Intelligence in Business (3 hrs)
Offers an integrated perspective on the opportunities and challenges associated with the introduction of artificial intelligence (AI) and machine learning capabilities into business computer information systems.
Data Visualization for Analytics (3 hrs)
Insightful displays of complex, large and possibly unstructured quantitative and qualitative data. Data visualization for analytics goes beyond traditional static graphs and charts by seamlessly connecting data analysis, data-based optimization and data presentation to create visualizations.
Model-Based Business Intelligence (3 hrs)
Explains how model-based business intelligence systems aid managerial decision processes. Attention is paid to how and why such models are used in a business intelligence systems environment.

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