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Students
Tuition Fee
Start Date
Medium of studying
Duration
6 months
Program Facts
Program Details
Degree
Diploma
Major
Sports Science | Sports Coaching
Area of study
Sports
Timing
Full time
Course Language
English
About Program

Program Overview


The Graduate Certificate in Data Analytics for Sport Performance at Victoria University equips students with expertise in sports-performance analytics through instruction in research insights and programming. The program covers data collection, analysis, visualization, and decision-making, preparing graduates for careers as data analysts in the sports industry.

Program Outline

Degree Overview:

  • Gain a formal qualification in data science with a unique sports context by studying the Graduate Certificate in Data Analytics for Sport Performance at Victoria University.
  • This course prepares you to succeed in the growing field of data analysis in sport.
  • Learning from true industry leaders, you will gain expertise in sports-performance analytics and graduate job-ready with instruction in:
  • the latest research insights
  • an essential programming language.

Outline:

  • Introduction to Sports Analytics:
  • This unit will introduce you to the basic concepts of sports analytics, including data collection, analysis, and visualisation. You will learn how to use data to improve sports performance and make better informed decisions.
  • Programming for Sports Performance:
  • This unit will teach you the essential programming skills you need to work with sports data. You will learn about data structures, algorithms, and software development tools.
  • Spatiotemporal Data Analysis in Sport:
  • This unit will focus on the analysis of spatiotemporal data, which is data that is collected over time and space. This type of data is commonly used in sports to track player movements and analyse team performance.
  • Analytics for Decision Making in Sports Performance:
  • This unit will teach you how to use data analytics to make better decisions in sports. You will learn about decision-making models, risk analysis, and performance evaluation.

Assessment:

  • Assessment in this course will be based on a variety of methods, including:
  • assignments
  • quizzes
  • presentations
  • a final project

Teaching:

  • This course is taught using a variety of methods, including:
  • lectures
  • tutorials
  • practical exercises
  • online learning
  • The faculty for this course are experts in the field of sports analytics.
  • They have a wealth of experience in both academia and industry.

Careers:

  • Upon completion of this course, you will be qualified to work as a data analyst in the sports industry.
  • You will have the skills and knowledge necessary to:
  • Collect, analyse, and interpret sports data
  • Use data to improve sports performance
  • Make better informed decisions
  • Communicate your findings to others
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