University of Texas Rio Grande Valley (UTRGV)
Master of Business Administration with a specialization in Business Analytics
Edinburg, USA
MBA
DURATION
LANGUAGES
English
PACE
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2026
STUDY FORMAT
Key Summary
About: The MBA specialization in Business Analytics trains you to analyze complex data and turn statistics into insights for organizational decisions. You choose three electives from the Master of Science in Business Analytics. Courses include data mining, enterprise analytics, data warehousing, visualization, R and Python, machine learning, text and social media analytics, decision modeling, optimization, and security analytics, with hands-on cases from real organizations.
Career Outcomes: Graduates can enter roles like data analyst, business analyst, data scientist, analytics manager, BI developer, operations analyst, product analyst, or pursue analytics leadership and consulting in sectors such as finance, healthcare, retail, and technology.
The Master in Business Administration with a specialization in Business Analytics is taking complex data, analyzing statistics, and finding eye-opening insights that help organizations of all types make informed, data decisions. Courses in data mining, enterprise analytics, data warehousing and visualization will help you dissect business problems and opportunities.
The MBA Specialization in Business Analytics allows students to choose three electives from among the courses available in the Master of Science in Business Analytics program. These courses prepare managers in all contexts to solve problems which require the application of sophisticated business analytics techniques. Topics include R and Python, data visualization, data mining, decision modeling and optimization methods, machine learning, text mining, social media analytics, health information analytics, information security analytics, spreadsheet modeling, and enterprise analytics. These courses heavily emphasize hands-on skills in data analytics, using cases and examples drawn from real-world organizations in many domains.
