ATU Galway / Mayo
ATU Galway / Mayo
Course Code
GA_SSDAG_N09
Zone
Attendance
Part time

Course Summary

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.

College Link

ATU Galway / Mayo
College Link > GA_SSDAG_N09 - Sports Data Analytics - Galway

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

Career Sectors

This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.

Entry Requirements

• 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 Details

Flexible learning courses are popular, and they fill on a first come, first served basis. There are two major intake periods throughout the academic year, September and January.

For January start courses, applications typically open in October, and for September start courses, applications typically open in February. Closing dates for applications are listed on the individual course webpage.

Start Date: September 2026.

Fees

Total Fees: €1500.

*Subject to Governing Body approval.

The Student

Career Interests

This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.

Investigative

The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.



Career Progression

Duration

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.
Close