Master of Science in Data Analytics for Sport

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The Master of Science in Data Analytics for Sport at Technological University Dublin is your pathway to becoming a leader in the sports industry's data revolution. You will explore how to harness the power of analytics, statistics, and digital transformation to unlock insights that drive performance, strategy, and fan engagement. This programme is ideal if you are passionate about sport and possess a keen interest in leveraging data mining and sport intelligence platforms to solve complex challenges and gain a competitive edge. This postgraduate degree offers a rigorous academic foundation in a dynamic and growing field.

This full-time, on-campus Masters degree is studied over one year, immersing you in practical applications through a significant data analytics research project. You will develop expertise in areas such as machine learning and programming for big data, preparing you for the demands of the modern sports landscape. You will work alongside faculty with industry experience, gaining hands-on skills with essential tools. Upon graduation, you will be well-prepared for roles as data analysts, performance analysts, or data scientists within sports organisations, technology companies, and research institutions.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Science program equips students with the essential skills to analyze data within the sports industry. Core modules cover the fundamentals of analytics, statistics, and data mining, alongside specialized topics like digital transformation in sport ecosystems and sport intelligence platforms. Students will engage in a substantial research project, with preparatory modules guiding their progress. Depending on their background, students may also undertake modules in programming for analytics or advanced analytics programming. The curriculum further allows for specialization through elective modules in areas such as machine learning, big data programming, deep learning, or digital ethics.

1 Modules for All Students

Fundamentals of analytics
Statistics for analytics
Data mining
Digital transformation in sport ecosystems
Sport intelligence platforms
Data analytics research project preparation 1
Data analytics research project preparation 2
Data analytics research project

2 Modules for Students on the Conversion Pathway (without a Computing background)

Programming for analytics
Data exploration

3 Modules for Students with a Computing Background

Advanced analytics programming

4 Elective Modules (Choose one)

Machine learning
Programming for big data
Deep learning
Digital ethics

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 25,586.00
Total Program Cost Estimated total tuition
USD 25,586.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 644.00 - USD 3,372.00
Food & Groceries USD 3,930.00 - USD 5,613.00
Transport USD 842.00 - USD 1,965.00
Utilities & Bills USD 1,404.00 - USD 2,105.00
Estimated Total USD 6,176.00 - USD 9,683.00

Living cost estimates are based on Grangegorman Campus.

Outcomes & Employability

What happens after you graduate

86%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingClinical Trials & DevelopmentCybersecurity & Network SecurityHealth, Safety & Environment (HSE)Medical Research & Clinical TrialsMental Health & CounselingPublic Broadcasting & DocumentaryRegulatory Affairs & ComplianceSports & AthleticsSupply Chain & Procurement

Top Employers Hiring for this course

Accenture

Dell Technologies

Football Association

GAA

Microsoft

Optum

Why Study Master of Science in Data Analytics for Sport at Technological University Dublin

What makes this program stand out

Top 20 in UK For Computer Science

Exeter's Computer Science department consistently ranks among the top 20 in the UK for both teaching quality and research output.

Fast Offers Quick turnaround

Exeter typically responds to applications within 2-3 weeks, giving you clarity on your options quickly.

Flexible Intakes September start

Primary intake in September with January start available for some pathways through the INTO foundation program.

Accredited Industry recognized

Accredited by BCS, The Chartered Institute for IT, meeting requirements for Chartered IT Professional (CITP) status.

Life at Technological University Dublin in Ireland

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Master of Science in Data Analytics for Sport at Technological University Dublin

Can I work while studying?

International students can work up to 20 hours per week during term time and 40 hours during breaks. No separate work permit is needed as long as you are enrolled full-time in a qualifying program.

What English language score do I need for this course?

To enroll, you need to meet specific English language requirements. Acceptable tests include Duolingo with an overall score of 120, or equivalent scores on TOEFL, IELTS, or PTE.

What jobs can I get after studying this course?

Possible job titles include data analysts, performance analysts, data scientists, or roles within technology companies and research institutions.

What will I actually study in this course?

This Master's program emphasizes analytics, statistics, and digital transformation in sports. Students will engage in a significant data analytics research project that equips them with machine learning and big data skills.

When can I start — what are the intake months?

The intake for the Master of Science in Data Analytics for Sport is in September. Ensure you apply in advance to secure your spot in this competitive program.
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