The Master of Science in Applied Sports Science Analytics is designed to provide students with the knowledge and skills to work successfully with athletes, coaches, sports medicine professionals, and athletic organizations. Created with input from sport science professionals working with professional athletic teams and sport science device manufacturers, the curriculum combines evidence-based research and practical application in sports from a health and human performance perspective. Students will learn methods used in performance data collection and analysis to improve health and human performance. Graduates enter the workforce as collaborative problem solvers who are capable of leading and managing within the field of data analytics for sports performance.
The M.S. in Applied Sports Science Analytics offers a dynamic collaboration between exercise science, statistics, and data science. The interdisciplinary nature of the degree provides students with the analytic skills to develop new applications and interfaces for large and complex sport and human performance datasets. When combined with foundational knowledge in exercise science, graduates possess the skill set to aid in the analysis and interpretation of the results to various levels of industry professionals from the athlete to the coaches and doctors, to the general manager and C-level executives.
What will I learn with an M.S in Applied Sports Science Analytics?
In alignment with Lasell University's Connected Learning Philosophy students are encouraged to develop their ideas and test them in real-world environments with practical relevance through the completion of a research-based capstone relevant to a problem of practice.
According to the Bureau of Labor Statistics, the occupational outlook for mathematicians and/or Statisticians is projected to grow 30% from 2018 to 2028. The median salary is $91,160 for statisticians. Graduates from the program pursue careers in:
Join Lasell's vibrant community of working professionals and gain access to a wide range of resources to develop your expertise and expand your network. Your graduate student journey will be distinguished by a personalized and supportive learning environment. As a Lasell graduate student, you will:
|DSCI703||Applied Cloud Computing for Data-Intensive Sciences||3|
|DSCI704||Visualization Design, Analysis, and Evaluation||3|
|EXSC702||Sports Performance Analysis||3|
|EXSC705||Advanced Strength and Conditioning||3|
|MGMT749||Ethical Theory and Management||3|
|RSCI701||Advanced Kinesiology and Biomechanics||3|
|RSCI780||Quantitative & Qualitative Research||3|
|Electives||Any NPH, AT or RSCI course. At least 1 elective must be NHP or RCSI course.||6|
|Total Required Credits||36|
Note: Students are required to complete 27 credits prior to taking the Capstone. However, this requirement can be waived depending on special circumstances (i.e. student gets an offer of an internship prior to completing the 27 credits)
|COURSE CODE||COURSE TITLE||CREDITS|
|MSC Core Requirements|
|Choose 1 from the following:|
|FALL I: 9/8 - 10/27|
|RSCI701||Advance Kinesiology and Biomechanics||Online||Andersen, Amanda|
|RSCI780||Quantitative & Qualitative Research||Online||Salas, Carlos|
Candidates seeking admission to Lasell University's MS in Applied Sport Science Analytics program must hold a bachelor's degree from an accredited institution and demonstrate through academic background and/or work experience the ability to succeed in graduate studies. GRE/GMAT scores are not required for admission. The TOEFL may be waived for international applicants who have earned a bachelor's degree at an accredited college/university in the United States, United Kingdom, Australia, New Zealand or Canada. All other applicants must submit a TOEFL/IELTS score.
*A cumulative grade point average of 3.0 is recommended for recent college graduates with fewer than 3 years of professional work experience.
Materials should be emailed to firstname.lastname@example.org.
The Office of Graduate Enrollment
1844 Commonwealth Ave.
Newton, MA 02466