The business analytics track is designed to expose students to the skills, methods, and practices that are useful for data-driven decision-making. This multidisciplinary field has strong roots in computer science, information science, mathematics, operations, and statistics. Topic areas include: data organization and management, computer programming, data mining, and machine learning, optimization, and statistical methods, used to both investigate past business performance and predictively model future performance. This track provides preparation for careers in a wide range of fields at companies that are committed to the use of data to gain insights about their business including consulting, entrepreneurship, financial services, marketing, risk management, sales, social media, and technology), as well as graduate school in the social sciences.