Sport Analytics B.S.

Program Overview

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Syracuse University's Sport Analytics B.S. program empowers students with data analysis skills and sport industry knowledge. Through internships, research projects, and networking opportunities, graduates are equipped for careers as sport analysts, data scientists, and other roles in the sport management and analytics fields. The program emphasizes experiential learning, global perspectives, and a strong foundation in statistics, economics, and database management.

Program Outline

Degree Overview:

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Overview:

The Sport Analytics B.S. program at Syracuse University equips students with the knowledge and skills to leverage data for competitive advantage in the sport industry.

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Objectives:

• Understand research methodology, sport economics, database management, finance, computer mathematics, statistics, and economics.
• Engage in research and field experiences to explore and comprehend the sport industry.
• Intern at leading sport management and analytics firms.
• Network and learn from industry executives at college events.
• Apply coursework through involvement in the Baseball Statistics and Sabermetrics Club or other sport-focused student organizations.

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Outline:

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Content:

• Statistics
• Sport management
• Economics
• Database and programming
• Web scraping

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Structure:

• Core coursework in statistics, sport management, and economics
• Mandatory foreign language requirement
• Senior thesis

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Course Schedule:

• Sample courses:
• Sport Data Analysis
• Sport Economics
• Price Theory in Sports
• Database and Programming
• Web Scraping

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Individual Modules:

• Senior Thesis:
• Two-semester research project in a chosen sport
• Hands-on experience in the sport industry
• Focus on athletes, teams, businesses, or combinations
• Data gathering, modeling, analysis, and presentation
• One-on-one mentorship with a program professor
• Study Abroad:
• Opportunities to study abroad in locations such as Florence, Italy; London, England; and Strasbourg, France
• Broaden perspectives and enhance resumes

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Assessment:

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Assessment Methods:

• Exams
• Projects
• Presentations
• Research papers
• Senior thesis

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Assessment Criteria:

• Accuracy and depth of knowledge
• Analytical and critical thinking skills
• Communication and presentation abilities
• Research and data analysis skills

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Teaching:

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Teaching Methods:

• Lectures
• Discussions
• Case studies
• Hands-on projects
• Research experiences

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Faculty:

• Experienced professors in sport analytics, sport management, and related fields

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Unique Approaches:

• Experiential learning through internships and research projects
• Networking opportunities with industry executives
• Focus on global sport industry through foreign language requirement and study abroad options

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Careers:

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Potential Career Paths:

• Sport analyst
• Data scientist
• Sport marketing manager
• Sport finance analyst
• Sport operations manager

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Opportunities:

• Employment in sport management and analytics firms
• Opportunities in various industries, including healthcare, retail, government, and nonprofits

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Outcomes:

• Graduates are prepared for careers in the sport industry with a strong foundation in data analysis and sport management principles.