關於課程
With elite sports embracing technology and investing in the pursuit of marginal gains, professional clubs are increasingly looking to sport analytics to assist them in their day-to-day activities.
100% student satisfaction in the 2024 Postgraduate Taught Experience Survey (PTES - Full-Time Students).
Provide a competitive advantage to sports clubs, athletes and businesses with your ability to analyse data, identify patterns, and make data-driven decisions. Developed by Scotland FA's Football Scientist Dr Alireza Monajati alongside Arsenal WFC’s Sid Panayi.
Our MSc Sport Analytics course has been developed to provide coaches and athletes with objective information, providing statistical and visual evidence to make data-driven decisions.In this course, you will be taught how to collect, analyse, and interpret large and complex sports data sets. You will learn how this data can be utilised to enhance athletic performance and inform key decisions to gain a competitive advantage.
Our MSc Sport Analytics course has been developed to provide coaches and athletes with objective information, providing statistical and visual evidence to make data-driven decisions. In this course, you will be taught how to collect, analyse, and interpret large and complex sports data sets. You will learn how this data can be utilised to enhance athletic performance and inform key decisions to gain a competitive advantage.
A career in sport analytics can lead to multiple roles in a wide range of exciting settings with amazing opportunities for career progression. You might be employed directly by a professional sports club to work with their coaching or scouting staff or work for one of the many businesses that elite teams and individual athletes approach for consultancy. Job titles may include Performance Analyst, Sport Analyst, Sport Scientist or Data Analyst.
100% student satisfaction in the 2024 Postgraduate Taught Experience Survey (PTES - Full-Time Students).
Provide a competitive advantage to sports clubs, athletes and businesses with your ability to analyse data, identify patterns, and make data-driven decisions. Developed by Scotland FA's Football Scientist Dr Alireza Monajati alongside Arsenal WFC’s Sid Panayi.
Our MSc Sport Analytics course has been developed to provide coaches and athletes with objective information, providing statistical and visual evidence to make data-driven decisions.In this course, you will be taught how to collect, analyse, and interpret large and complex sports data sets. You will learn how this data can be utilised to enhance athletic performance and inform key decisions to gain a competitive advantage.
Our MSc Sport Analytics course has been developed to provide coaches and athletes with objective information, providing statistical and visual evidence to make data-driven decisions. In this course, you will be taught how to collect, analyse, and interpret large and complex sports data sets. You will learn how this data can be utilised to enhance athletic performance and inform key decisions to gain a competitive advantage.
A career in sport analytics can lead to multiple roles in a wide range of exciting settings with amazing opportunities for career progression. You might be employed directly by a professional sports club to work with their coaching or scouting staff or work for one of the many businesses that elite teams and individual athletes approach for consultancy. Job titles may include Performance Analyst, Sport Analyst, Sport Scientist or Data Analyst.
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Entry requirements for 東倫敦大學
Minimum of 2:1 honours in a sport, mathematics or computer science related area. 2:2 honours in related subject area will also be considered at the discretion of the course leader.
Overall IELTS 6.5 with a minimum of 6.0 in Writing, Speaking, Reading and Listening (or recognised equivalent).
English language requirements
托福(TOEFL iBT)總分: 60.0
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