Join the next generation of sport science innovators. As artificial intelligence (AI) transforms the landscape of sport science, there is growing demand for professionals who can harness data to enhance athletic performance. The AI and Sport Science in Human Performance specialization is designed to give students the expertise to thrive in this exciting field.
Through 12 credits of focused coursework, you’ll gain highly valuable skills in areas such as data acquisition and curation, coding, AI applications, research methodologies, and statistical analysis. Learn how to translate complex data into practical strategies that can support athlete development, prevent injury, and improve performance.
With this micro-credential, you’ll be prepared to build a career that leverages AI to push the limits of human athletic potential.
Through this track, you will develop your expertise in:
- Data Analysis and Management
- Programming Fundamentals
- Principles of Machine Learning
- AI Tools in Human Performance Contexts
- Research Methodologies
- Evaluation and Interpretation of Performance Assessments
Specialization Courses (12 credits)
Fundamentals in Research
Examines fundamental concepts related to the acquisition, analysis, and interpretation of data relevant to the outcome of human performance across myriad physical and cognitive domains, including sport, exercise, tactical operations, and medical professions. Addresses the use of statistics and broader fields of data science, artificial intelligence, analytics, and technology management necessary to evaluate performance and strategically adjust training methods to enhance performance.
This course teaches the principles of designing training programs that improve muscular strength, power, speed, agility, endurance, balance, stability, and hypertrophy. These principles are applied to typical athletic populations, tactical athletic populations, and special athletic populations.
This course equips students with the skills to evaluate and interpret tests related to health and human performance. Students will also learn to analyze research data.
Fundamentals in Assessment
Students will learn to apply AI technologies to the study of sport and movement sciences in both healthy and diseased human populations. This course introduces students to programming and data visualization techniques while covering classical concepts of machine learning (e.g. linear regression and classification, ensemble-based algorithm, clustering, and neural networks) and modern machine learning methods for images and video processing (e.g. convolutional neural networks and transformers).
