The dual major in Business Analytics (BSAN) and Mathematics (MATH), or “Quantitative Business Analytics,” is a rigorous interdisciplinary program that integrates advanced mathematical theory with data analytics and business insights. This program is designed for students who seek to apply their analytical and problem-solving skills to real-world business challenges, preparing them to excel in data-driven industries such as finance, consulting, and technology.
The Mathematics curriculum provides students with a deep understanding of areas such as calculus, linear algebra, probability, statistics, and optimization, equipping them with the theoretical tools needed to approach complex quantitative problems. Complementing this, the BSAN curriculum emphasizes practical skills in data modeling, statistical analysis, machine learning, and visualization, enabling students to extract actionable insights from large datasets and drive strategic business decisions.
Students gain valuable hands-on experience through internships, research projects, and capstone experiences that blend mathematical precision with business applications. The program also fosters critical thinking, communication, and teamwork skills, ensuring graduates can effectively convey technical insights to diverse audiences and collaborate across disciplines. Topics such as predictive modeling, risk analysis, and operations research prepare students to lead in dynamic and data-intensive environments.
Graduates of the Business Analytics and Mathematics dual major are highly sought after for roles such as data scientist, business analyst, quantitative strategist, financial modeler, and operations researcher. This program equips students with a unique blend of theoretical and practical expertise, enabling them to bridge the gap between advanced mathematics and business strategy.
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