Sports Data Analytics - Galway

Course Overview

Data and analytics have had a profound influence on sport in terms of sports business, participation and performance, and are supporting the exponential growth of the active living industry.



This course equips students with the knowledge and skills to generate, structure, analyse and visualise sports data using business intelligence tools and surface level programming to unlock meaningful insight.



Students will also learn to deploy predictive analytics and AI techniques and consider how their application can add value in a sporting context.



Who Should Apply?

In the modern world all sports professionals need to organise, analyse and leverage data to add value to their decision making processes.



This course is aimed at professionals who wish to elevate their data handling, analysis and visualisation skills, and want the know-how to harness data and AI effectively, ethically and from a human-centred perspective.



It is suitable for professionals in a variety of data heavy roles including athletic performance, sports technology and innovation, sports marketing and engagement, sports management and development. The course is suitable for professionals seeking to progress in managerial roles.



It offers a unique professional development opportunity which is university certified at post-graduate level (15ECTS) and can be used to contribute to further study in ATU or other institutions internationally.

Semester Module Details Credits Mandatory / Elective

1 Data Analysis for Sports Intelligence 10 Mandatory

1 Analytics and AI for Sport 05 Mandatory

Level 8 Bachelor (Hons) degree H2.2 or equivalent.



Evidence of English Language Proficiency (IELTS). Proficiency in the use of Excel or similar software is recommended.



Option for Recognition of Prior Learning according to ATU policy.

Application Closing Date 14th August 2026

1 semester part-time online.



Recommended Study Hours per week

This short part time course will be delivered completely online with high levels of peer interaction.



There are up to 6 hours of live online lectures per week for 12 weeks with additional independent learning and coursework of up to 10 hours.



On-Campus Attendance Requirement

The course is delivered online with optional attendance at 1-2 in person workshops or industry engagement events in the course of the semester.



Note: Check programme Examination and Assessment requirements, as they may involve examinations to be taken on campus.

Start Date: September 2026.