Master of Science in Sport Analytics University of East London - Docklands Campus, UK

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.

The volume of data produced in the sport industry has significantly increased over the last decade. The ability to analyse data, identify patterns, and make data-driven decisions, will provide a competitive advantage for sports clubs businesses, and athletes.

Our MSc in Sport Analytics has been designed and developed by Scotland FA's Football Scientist Dr Alireza Monajati to meet the growing demands of Data in the sports industry. During the programme you will learn how statistical and visual analytics are informing stakeholders to make data-driven decisions in sport. You will utilize industry-standard visualization software such as Tableau and PowerBI, and have the opportunity to learn fundamental skills with programming languages such as Python and R, whilst being fully supported all the way.

Due to the importance of gaining industry experience, our course offers the unique opportunity to gain a work placement during your studies. We have an in-house dedicated work placement team that will help you find an opportunity that suits your career aspirations.

Located in the heart of London, we have a range of partnerships and connections that will give you the opportunity to network with employers within the industry. Previously we have had guest lectures from Southampton Football Club, West Ham United and Sky Sports.

Our Sport Analytics masters degree will introduce you to industry-standard techniques and processes to make you ready for a career in an exciting and growing field.

WHAT YOU'LL LEARN

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 sporting decisions to gain a competitive advantage.

Throughout your studies you will use industry-standard visualization software such as Tableau and PowerBI. Both of which are widely used in a variety of jobs within the sport.

You will also have the opportunity to gain a fundamental understanding of programming languages such as Python and R. However there is no requirement to have any prior coding experience to complete this course. Our in-house experts will provide tutorials throughout, and you will also be assigned a personal academic tutor for additional support.

At the end of the course, you will complete a final research project that gives you the opportunity to pursue a particular topic in-depth that is of interest to you surrounding sports analytics.