COURSE CURRICULUM

The Master’s in Business Analytics program at the University of North Texas is designed to provide students with strong academic training and extensive real-world exposure through industry partnerships, internships, and advanced analytics education. Over the past three years, more than 700 companies have offered paid internships to UNT business students, reflecting the program’s strong industry demand and practical learning opportunities. Students benefit from corporate and academic partnerships with major global organizations such as Fidelity Investments, CitiBank, PepsiCo, State Farm, Dell, and Google Cloud, which help create pathways for internships, networking, and full-time employment after graduation. The program also supports international students and working professionals by allowing up to 12-month Curricular Practical Training (CPT) and 36-month Optional Practical Training (OPT), enabling extended hands-on experience in the United States. Students can specialize through multiple track options including Data Science and Advanced Analytics, Data Engineering and Business Intelligence, Operations Analytics, Marketing Analytics, Audit/Fraud Analytics, and Risk Analytics, allowing them to tailor their studies to specific career goals. The university’s location near the Dallas–Fort Worth metroplex, one of the largest business hubs in the United States and home to the fourth-largest concentration of Fortune 500 companies, provides strong access to career, internship, and networking opportunities. Graduates of the program pursue roles such as Business Intelligence Specialist, Data Analyst, Data Engineer, and Data Scientist, with employment in major companies including Texas Instruments, Toyota, PepsiCo, Hitachi, IBM, Tesla, and Amazon. The average reported salary for graduates is around $86,000 within 90 days of graduation, reflecting strong career outcomes. The curriculum includes courses such as Predictive Analytics and Business Forecasting, Artificial Intelligence in Business, Data Visualization for Analytics, and Model-Based Business Intelligence, all designed to equip students with advanced technical, analytical, and decision-making skills for modern data-driven industries.