This paper adopts the STEAMS (Science, Technology, Engineering, Artificial Intelligence, Math, Statistics) methodology. The objective of this paper is to introduce the benefits of integrating all 6 “STEAMS” elements, especially in the era of Big Data. There are three core visions of “STEAMS” methodology: (1) replace “Art” with “Artificial Intelligence”, (2) separate “Statistics” from “Math,” and (3) integrate all six “STEAMS” elements. Adding the “Artificial Intelligence” element can trigger and enhance the effectiveness of sports science and mathematical algorithms. SPARQ science and injury biomechanics are also illustrated. Modern 3D-motion techniques were introduced to help develop sports strength training curriculum. Sports injury failure modes and injury prevention stretching techniques are common problem-solving methods in the engineering field. The popular Artificial Intelligence tools used were clustering Principal Component Analysis. Understanding the different clustering methods can help select the appropriate clustering algorithms to discover more injury insights. Statistical data visualization tools provide more correlation and causation patterns on understanding the injury mechanisms. This interdisciplinary STEAMS approach is a very powerful technique to help prevent injuries.
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