Program Overview

Housed within the Department of Sport Management, which offers the first undergraduate major in Sport Analytics, The Berlin Sport Analytics Academy will provide students the opportunity to explore data’s powerful role in understanding and prioritizing information to maintain a competitive advantage in the sports industry.

Inside the Berlin Sports Academy
Inside the Berlin Sports Academy

The program will give an overview of the analytics that are being used in a variety of sports and the students will have the opportunity to investigate more on their own during the duration of the academy. The program will offer the ability to learn valuable skills in various applications that are currently being used in Sport Analytics courses at SU and in the sport industry, including R, Tableau, SQL and more. You will have the opportunity to listen to, and interact with, speakers from the sports analytics industry. You will also have the opportunity to interact with current Sport Analytics students, who will offer their guidance and advice throughout the duration of the academy.

Program Objectives

The primary objectives are to provide the student with a basic understanding of the role of analytics in the sport industry duties and functions of an analytics professional as they apply to amateur and professional sports. Upon completion of the academy students should be able to identify, analyze, and understand various issues related to the world of sport analytics.

  1. Interpret and calculate various sport analytics statistics used in a variety of sports in North America and around the world
  2. Build a fundamental understanding of spreadsheets and databases
  3. Gain a working knowledge of R so that students can wrangle data, run basic linear regressions, do some simple machine learning techniques, and graph data
  4. Gain a working knowledge of data visualization of sports data through Tableau

Learn more about Sport Management:

Program Dates & Details Eligibility Requirements Program Cost Program Requirements Typical Day Faculty Bios


Program Dates & Details

Session Dates

Session III: July 27 – August 9, 2019
Duration: 2-weeks

Grading

Credit: Non-credit
Grading System: Pass/Fail


Eligibility Requirements

This program is ideal for high school students with a strong background in mathematics, and a passion for sports. An interest in, or experience with, computer programming and Microsoft Excel is recommended but not necessary. Students must be a minimum of 15 years of age by the orientation and move-in date. For full Summer College admission requirements, view the Admissions Overview and Eligibility page.

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Program Cost

Program Costs:

  • Residential: $3,360*
  • Commuter: $2,566*

*Please visit our Program Costs page for more detailed information. Program rates are subject to change and will be approved by the board of trustees in March.


Program Requirements

Student Expectations

Students are expected to attend every class session and be engaged during all lectures, guest speakers and group activities. This academy will offer the opportunity for academic and experiential learning, the expectation is that all students come prepared to take full advantage of what is presented.

This is an academically rigorous, college-level program. Students are expected to complete nightly homework assignments and actively participate in group projects. Students are expected to attend all classes every day, arrive on time, and meet all academic obligations. Free time will vary as each program is unique, as is the subsequent workload. Free time is very limited in some programs.


Typical Day

Tentative Schedule*

  • 9:00am – approximately 12:00pm Morning Class – includes lecture and overview of various topics in Sport Analytics
  • 12:00pm – 1:30pm Lunch
  • 1:30pm – 2:30pm Guest Speaker and/or continuation of lecture from morning session 2:45pm – 4:30pm Programming & Group Work

*While this is a sample structure, each day may look different and what will be covered could vary day to day.

Field Trips

As part of this academy, students will be exposed to industry professionals in the analytics industry at their site of competition. Examples of field trips could include visits to Major League Baseball and National Football League teams, as well as various minor league sport organizations.

Final Academic Obligation

Students are permitted to leave on Friday, August 9, 2019 after 4:30pm upon the completion of the final class. If students have any questions regarding their final academic obligation, we encourage them to reach out to their instructor. Please refer to the Move-Out page for important information regarding the checkout process.


Faculty Bio

Rodney Paul, Ph.D. Professor

Dr. Paul is a Sports Economist and Professor in the Department of Sport Management at the David B. Falk College of Sport and Human Dynamics.

His research has appeared on Buffalo Sabres Gamenight and Forbes.com, in CFO Magazine, and in various newspaper and radio outlets, including interviews on National Public Radio focused on the NFL labor situation, the Los Angeles Dodgers‘ financial difficulties, and the TV rights to the Olympic Games. He has presented at conferences both nationally and internationally, and his work has been published in The Journal of Sports Economics, International Journal of Sport Finance, Applied Economics, Atlantic Economic Journal, Quarterly Review of Economics and Finance, Journal of Economics and Finance, among others. He has authored numerous book chapters on sport economics and business.

Dr. Paul serves as the faculty advisor to the Baseball Statistics and Sabermetrics Club at Syracuse University. The club competed in the Diamond Dollars Case Competition in Phoenix, Arizona, in March 2016 and 2017. They also took part in a conference at Columbia in Fall 2016 and 2015. The research work of the club involving the effect of atmospheric conditions on pitchers in Major League Baseball was presented in the poster session of the 2014 MIT/Sloan Sports Analytics Conference and was the focus of the Numbers column in ESPN the Magazine in the July 7, 2014 issue.

Topics addressed in his research include:

  • Market Efficiency
  • Behavioral Biases in Sports Wagering Markets
  • Empirically Modeling Game Attendance
  • Empirically Modeling Television Ratings
  • Uncertainty of Outcome Hypothesis
  • Competitive Balance
  • Prediction Markets in Sports
  • Voting Models of College Sports Polls

Education

  • Ph.D., Applied Economics, Clemson University, Clemson, SC
  • M.A., Applied Economics, Clemson University, Clemson, SC
  • B.S., Mathematics, Lebanon Valley College, Annville, PA
  • B.A., Economics, Lebanon Valley College, Annville, PA

Specialization

Economics and finance of sports, specific research in: attendance modeling; modeling of sports television ratings; market efficiency and sports wagering markets; prediction market in sports; impact of violence in sports.

Shane Sanders, Ph.D. Associate Professor

With published research in the fields of behavioral sports economics, applied econometrics, applied game theory and the political economy, Shane Sanders joined Syracuse University from Western Illinois University in Fall 2016. At WIU, Sanders served as the Cecil P. McDonough Endowed Professor of Economics.

Sanders is presently Associate Editor of the Academy of Economics & Finance Journal. His research portfolio includes recent peer-reviewed journal articles in the Journal of Sport Economics, Economics Letters, Public Choice, Theory & Decision, European Journal of Political Economy, Mathematical Social Science, and Southern Economic Journal, among others. Sanders completed a PhD in economics (with field specializations in econometrics and applied game theory) from Kansas State University in 2007. In 2002, he completed a BA in economics with a minor in mathematics from Indiana University Bloomington (Summa Cum Laude, Phi Beta Kappa).

During his career, Sanders has won awards for both his research and for his teaching efforts. He has also published journal articles with six students in recent years.

Since 2017, Sanders has conducted analytic personnel scouting for a EuroLeague basketball team. In 2017, he supported a roster overhaul for the team that resulted in the team winning its first domestic league title in four years. Sanders also serves as faculty advisor to the SPM Basketball Analytics Club, the Basketball Club Team, and the Spikeball Club Team.

Education

  • Ph.D., Kansas State University