- Start date: September each year
- Application deadline: August
- Study mode and duration: 12 months full-time, 24 months part-time
Work placement: Yes
Regular guest lectures by industry professionals
Places on the course: 20
Study with us
On our MSc Sport Data Analytics Masters programme you'll:
- develop skills in sport data analysis, interpretation, and presentation
- gain hands-on experience in a professional sporting environment through engagement with our external partners
- gain a comprehensive overview of sports data analysis, covering key areas such as talent identification, recruitment analytics, video analysis, and performance evaluation for individuals and teams
- attend engaging lectures by industry experts showcasing real-life case studies
Why This Course?
Sporting organisations are showing increasing demand for professionals skilled in the handling, analysis and presentation of complex data.
This Masters programme is designed to offer graduates the comprehensive skillset and experience required to succeed as an analyst in a variety of sporting sectors.
Via a mixture of lectures, seminars and practical exercises, you'll gain hands-on experience working with real data and professionals in the field.
The MSc Sport Data Analytics at Strathclyde is unique in:
- placing a high emphasis on analytics, providing you with the technical skills to analyse complex data sets using cutting-edge techniques and software
- offering opportunities to interact with professionals such as sport scientists, performance, data, recruitment, talent or notational analysts through guest lectures and networking opportunities
- providing students with the chance to build a portfolio through high-quality placement opportunities with external partners
Employers in the sports industry are looking to recruit staff who have proven skills and experience in handling, analysing, and presenting complex data. Our program aims to provide students with a strong applied understanding of quantitative and qualitative analysis, data processing and visualisation, feedback and reporting methodologies and how to collect and manipulate large, complex data sets.
Dr Xanne Janssen, Programme Leader
What you'll study
- explore the different ways in which data and data analysis are currently used to support performance, training and selection within professional sporting settings
- learn about the use of data analysis and reporting to support talent identification and player recruitment
- gain an introduction to the concepts and techniques that underpin the use of video data gathered in sporting contexts
The programme will cover data visualisation, with students deepening their knowledge of quantitative and qualitative analysis while developing the technical skills required in handling and presenting performance data.
You will undertake a supervised research dissertation in sport data analytics. This will rely on using the technical skills and knowledge covered in earlier modules to formulate, design and implement a piece of empirical research on a topic aligned to sport data analytics.
The Professional Placement module is a compulsory module for the MSc Sport Data Analytics. You'll undertake 120 hours of agreed activity within an approved placement agency, which will be in a professional sports setting.
The structure of the hours will be agreed upon between you, the placement agency, and the placement coordinator. Usually, this will involve one or two days per week at the placement agency.
The Research Dissertation module provides you with the opportunity to apply previous learning from all other modules within a final research project.
The module offers a portfolio of dissertation formats. You can opt to undertake an individual academic research project or complete your dissertation project within a partner organisation. Your research should address a question which interests you and is relevant to professional sport.
Interested in postgraduate study?
At the Faculty of Humanities and Social Sciences, our friendly and knowledgeable team will be available to provide you with all the information you need to kick-start your postgraduate journey at the University of Strathclyde. Register for upcoming events below:
Modules will feature regular guest lectures by industry professionals, drawn from a range of sports organisations who will share their invaluable insights and discuss real-life case studies.
Introduction to Sport Data Analytics
Explore the different ways in which data, and data analysis is currently used to support performance, training and selection within professional sporting settings, team and individual.
Recruitment Analytics in Sport
Learn about the use of data analysis and reporting to support talent identification and player recruitment within professional sports settings.
Video Analysis in Sport
Gain an introduction to the concepts and techniques that underpin the use of video data gathered in competitive sporting contexts. You’ll develop your understanding of how video data can be analysed to inform the coaching process, support squad selection and enhance tactical and strategic decision-making.
Get hands-on experience of working with data in a professional sporting environment. Build your skills and confidence in this area and gain a deeper understanding of how sports data is used.
Data Visualisation in Sport
Develop your understanding of the challenges and complexity of sport performance and recruitment data and develop a basic set of technical skills in handling and presenting performance and recruitment data to coaches.
Research Methods in Sport Data Analytics
A critical understanding of research methods and analysis is fundamental to research and practice in sport data analytics. This module will deepen your knowledge of quantitative and qualitative analysis, and help you deal with the ethical and practical issues of conducting real-world research.
Undertake a supervised research dissertation in sport data analytics. Use the technical skills and substantive knowledge covered in earlier modules to formulate, design and implement a piece of empirical research on a topic aligned to sport data analytics.
Learning & teaching
Taught modules will be delivered across two semesters running from September to December, and from January to March.
You'll learn through a combination of lectures, seminars, group work and online learning tasks. You'll benefit from input from industry experts throughout the programme, including real-life case studies and the opportunity to analyse professional scenarios. The dissertation is undertaken during the summer months.
Modules are assessed by various methods including infographics, essays, reflective pieces, data analysis plans, and presentations. The dissertation project is assessed with a final report appropriate to the research question.
|English language requirements|
Students whose first language is not English shall be required to demonstrate an appropriate level of competence in the English language with IELTS not less than 6.5.
Fees & funding
Fees may be subject to updates to maintain accuracy. Tuition fees will be notified in your offer letter.
All fees are in £ sterling, unless otherwise stated, and may be subject to revision.
Annual revision of fees
Students on programmes of study of more than one year should be aware that tuition fees are revised annually and may increase in subsequent years of study. Annual increases will generally reflect UK inflation rates and increases to programme delivery costs.
|England, Wales & Northern Ireland|
Placements & field trips: Students will be expected to travel to external sporting facilities for the placement module. Costs for these are highly variable depending on where the student lives and where placement takes place.
International students: International students may have associated visa and immigration costs. Please see student visa guidance for more information.
University-branded kit: For the purposes of placement and undertaking data collection with external partners, students will be expected to purchase a university-approved t-shirt or polo shirt with the University logo clearly displayed.
We've a thriving international community with students coming here to study from over 140 countries across the world. Find out all you need to know about studying in Glasgow at Strathclyde and hear from students about their experiences.Visit our international students' section
How can I fund my course?
Scottish postgraduate students
Scottish postgraduate students may be able to apply for support from the Student Awards Agency Scotland (SAAS). The support is in the form of a tuition fee loan and for eligible students, a living cost loan. Find out more about the support and how to apply.
Don’t forget to check our scholarship search for more help with fees and funding.
Students coming from England
Students ordinarily resident in England may be to apply for postgraduate support from Student Finance England. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Find out more about the support and how to apply.
Students coming from Northern Ireland
Postgraduate students who are ordinarily resident in Northern Ireland may be able to apply for support from Student Finance Northern Ireland. The support is a tuition fee loan of up to £5,500. Find out more about the support and how to apply.
Students coming from Wales
Students ordinarily resident in Wales may be to apply for postgraduate support from Student Finance Wales. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Find out more about the support and how to apply.
We've a large range of scholarships available to help you fund your studies. Check our scholarship search for more help with fees and funding.
Faculty of Humanities & Social Sciences Scholarships
- EU Engagement Scholarships are available to EU applicants who would have previously been eligible for Home (Scottish/EU) fee status
- Full-time international (non-EU) students applying to postgraduate study may be eligible for a scholarship worth up to £5,000
Graduates will be ready to enter a range of professional roles within sport. Experience gained through the taught components of the programme and the applied experience provided from the placement module will prepare students to take on positions involving the application of analytical techniques to athlete and team performance, business performance, recruitment, and coaching.
Potential roles include:
- data analyst
- insights analyst
- performance analyst
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Our campus is based right in the very heart of Glasgow. We're in the city centre, next to the Merchant City, both of which are great locations for sightseeing, shopping and socialising alongside your studies.Life in Glasgow
Start date: Sep 2024
Sport Data Analytics
Start date: Sep 2024
Sport Data Analytics
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