Course Overview

Housed within the Department of Sport Management that offers the first undergraduate major in Sport Analytics, The Berlin Sport Analytics Academy at Syracuse University 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. 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.

Careers in Sport Analytics can include:

  • Statistician
  • Player Evaluation
  • Economist
  • Computer Programmer
  • Sports Analyst

All students who successfully complete the course will receive a Certificate of Completion and have the opportunity to request a Syracuse University noncredit transcript.

Fun Fact: Syracuse University is the first American university to offer a bachelor’s degree in sport analytics.

Course Objectives

The primary objectives are to provide the student with a basic understanding of the role of analytics in the sport industry and the 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

Course Information

Course Prefix and Number: SCN 054

Format: On Campus (at Syracuse University)

Eligibility: Students must be of rising high school sophomore, junior, or senior status – or a 2022 high school graduate. 

Credit: Noncredit

Grading: Pass/Fail


  • Residential: $3,585
  • Commuter: $2,730

Program rates are subject to change and will be approved by the board of trustees. Discounts and scholarships are also available.

Program Information

Summer College – On Campus: Experience what college is really like: take a college-level course, live in a residence hall, have meals with friends in a dining hall, and participate in activities and events on campus.

“Taking the Sport Analytics course was one of the most interesting and enlightening experiences of my academic career. Over the course, I learned how to use three different programs on the computer to aid in sport data analysis: Excel, R, and Tableau. Learning how to use numbers to tell stories about sports was very interesting, and the three programs provided that ability in different facets. Because of Summer College – Online, I was able to take a more professional step towards a future career in sports and journalism..”

— Natalie W., Summer College – Online Sport Analytics Student, 2020

Course Dates and Details

ProgramCourse DatesClass Time (Eastern Time)Credit/NoncreditStatus
Summer College – On Campus 2-Week Session I: Sunday, July 3 – Friday, July 15, 2022MTWThF
9 a.m. – 4:30 p.m.
Summer College – On Campus 2-Week Session II: Sunday, July 17 – Friday, July 29, 2022 MTWThF
9 a.m. – 4:30 p.m.
*Each session is the same course, only the dates are different. Students break for lunch daily for approximately one hour.
Course time subject to change.

Course Requirements

Required Supplies

  • Students will need to bring a laptop running Windows or Mac software. Tablets, phones or Chromebooks are not supported with software that will be used.
  • Students should budget for the cost of supplies and textbooks.

Student Expectations

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

Typical Day

Tentative Schedule

Students must attend class Monday – Friday from 9am – 4:30pm.

When class is over, and on weekends, students can look forward to various Summer College – On Campus activities to meet and connect with other students! Check out our On Campus Experience page for more information!

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 the National Baseball Hall of Fame and Museum, professional sports teams (i.e. NHL, MLB, NFL), as well as various minor league sport organizations based in the greater Syracuse area.

Faculty Bios

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.

Ph.D., Economics – Kansas State University, 2007

Justin Ehrlich, Ph.D. Assistant Professor

Prior to joining Syracuse University, Ehrlich taught as an associate professor at Western Illinois University, School of Computer Sciences, since 2010 in Macomb, IL. There, he specialized in data visualization, visual analytics, sport data computation and analysis, machine learning, computer graphics, virtual reality, server-side development, languages and technology. He taught several courses such as Topics of Computer Science: Data Visualization, Operating Systems, Advanced Computer Graphics, Server-Side Development, and served as chair of the Council for Instructional Technology and chair of the IT Governance Executive Committee. He previously worked as an AViSSS (Animated Visual Supports for Social Skills) lead software developer for the University of Kansas and has held roles such as developer for Nomise Systems and lead developer for, both in Wichita, KS.

Ehrlich has published several papers in sport data visualization and analysis in Public Choice, Mathematical Social Sciences, Games, and the Journal of Quantitative Analysis in Sport. He has conducted many talks and live demonstrations on sport data computation, visualization, and analysis that incorporate use of Tableau (with VizQL), R, Python, and D3.

Ehrlich’s research has received support from the U.S. Department of Education, the U3E, and from Falk College. He was awarded the Moore Best Ph.D. Dissertation Award from the University of Kansas School of Engineering, the Provost’s Award for Academic Excellence in Teaching with Technology from Western Illinois University, and several awards from WIU’s College of Business and Technology.

Ehrlich earned a Ph.D. in computer science from the University of Kansas in 2010. His dissertation was titled, “The Effect of Desktop Illumination Realism on Presence and Generalization in a Virtual Learning Environment.” He also holds a computer science M.S. earned in 2007 from Wichita State University, and an accounting and business administration B.B.A., earned in 2004 from Friends University in Wichita, KS.

Ph.D., Computer Science – University of Kansas, 2010

Jeremy Losak, Ph.D. Assistant Professor

Prior to joining Syracuse University, Losak was a graduate assistant in the John E. Walker Department of Economics at Clemson University. His teaching experience includes positions as teaching assistant for Sport Economics, teaching assistant and later head teaching assistant for Undergraduate Principles of Microeconomics and Principles of Macroeconomics, and teaching assistant for Managerial Economics. In the sports industry, he was a baseball analytics consultant for Wasserman Media Group, marketing analytics consultant for The Madison Square Garden Company, and analytics intern for the Auburn Doubledays.

Losak’s research focus is in sports economics, particularly sport labor markets and betting markets. He is published in Managerial Finance and in the Academy of Economics and Finance Journal. He has given several presentations at venues such as the 2019 Eastern Economic Association Conference in New York, NY; the 2018 Southern Economic Association in Washington, DC; the 2018 Missouri Valley Economic Association’s Sports Economics Session in Memphis, TN, and; the Center for Research in Sports Administration’s Sports, Data, and Journalism Conference at the University of Zurich in Switzerland.

Losak is the recipient of a Junior Researcher Award for the 2018 Sports, Data, and Journalism Conference at the University of Zurich and the Distinguished Student Paper Award at the 2018 Missouri Valley Economic Association Conference. He is also the recipient of travel grants from the Institute for Humane Studies Hayek Fund and Clemson Graduate Travel Grant Service. He was named a 2016 Falk College Class Marshal and a Falk College Scholar while at Syracuse University.

Losak earned a Ph.D. in economics from Clemson University in 2019 where he was a Koch Fellow in the John E. Walker Department of Economics. He also earned a B.S. in sport management from Syracuse University’s Falk College in 2016.


Ph.D. in Economics – Clemson University, 2019
B.S. in Sport Management – Syracuse University, 2016

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