Business Analytics University of North Texas

Overview

The Business Analytics programme at University of North Texas provides students with a sophisticated understanding of how data-driven technology facilitates modern organisational decision-making. This specialist Master of Science degree blends theoretical knowledge with practical applications to prepare graduates for high-level roles in the evolving data landscape.

Students engage with a curriculum that emphasises marketable skills, including the development of mathematical models and the use of digital data sources for forecasting. The programme is structured to accommodate both full-time study and professional development, ensuring a comprehensive grasp of industry-relevant tools.

The course is officially STEM-approved, which offers significant advantages for international students regarding practical training opportunities.

Why Business Analytics at University of North Texas?

University of North Texas is situated in the Dallas-Fort Worth area, providing students with unparalleled access to the nation’s fourth-largest concentration of Fortune 500 companies. This strategic location fosters a wealth of networking, internship, and career opportunities within a major global business hub.

The G. Brint Ryan College of Business maintains strong industry connections, with over 700 companies offering paid internships to business students in recent years. Facilities and teaching features include a dedicated Career Center and opportunities to collaborate with faculty on research projects and journal publications.

The institution is recognised for its affordability and high return on investment, offering a specialist degree that incorporates cutting-edge skills. Students benefit from a supportive academic environment that includes professional leadership programmes and direct engagement with industry experts through guest speaker events.

Tuition Fee Breakdown

• International fee: USD 16404 per year
• National fee: USD 16404 per year
• Local fee: USD 8700 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

Foundation Courses

• Business Decision Process
• Data Mining
• Enterprise Applications of Business Intelligence
• Predictive Analytics and Business Forecasting
• Database Management
• Business Analytics Capstone

Elective Courses

• Model Based Business Intelligence
• Statistical Techniques in Stimulation
• Non-Parametric Statistics for Business Research
• Big Data Analytics
• Data Visualization for Analytics
• Internship
• Programming for Business
• Financial Management
• Python and Data Analytics for Finance
• Consumer Behavior
• Marketing Metrics
• Marketing Research & Analytics

Careers with Business Analytics

Graduates of the programme are prepared for specialised roles such as Data Scientist, Business Intelligence Specialist, Data Engineer, and Data Analyst. These positions are vital across various sectors that rely on quantitative methodology and deep business cognizance to drive strategy.

The university has a strong track record of alumni securing positions at prestigious global organisations. Notable employers of recent graduates include Texas Instruments, Toyota, PepsiCo, Hitachi, IBM, Amazon, and Cognizant, reflecting the high demand for these analytical skills.

The proximity to major corporate headquarters allows for a seamless transition from academic study to professional practice. Graduates often report competitive starting salaries, supported by the practical experience gained through internships and industry-aligned coursework during their studies.