Working in the sports industry is incredibly alluring, yet notoriously hard to crack. Ever since the Oakland A’s Billy Beane used his “Moneyball” big data analytic approach to successfully compete against MLB big spenders, analytics across the world of sports has exploded. Teams are using analytics to improve the fan experience and team performance. From customized game day experiences for fans to optimal game strategy for teams, the world of sports is experiencing a major paradigm shift thanks to big data.
It is common for sports teams at the professional and college level to have two different sports analytics departments. One department focuses on business-oriented application of data and includes analytics for ticket pricing, sponsorship activation effectiveness, fan loyalty analysis, promotions, social media, fan engagement and operations management. The second department focuses on player and team performance and includes optimal lineup analysis, player scoring for recruiting and draft analysis, player salary optimization, simulation of games and analysis of game tactics.
To prepare individuals for a career in one of these exciting fields, Samford's Center for Sports Analytics will partner with the university to offer rigorous sports analytics curricula for mathematically gifted and highly motived candidates paired with a real-world analytics internship in the sports industry.