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Master's degree in sports data analysis

Responsible Center: Higher Technical School of Computer Engineering   Location: Mostoles Campus
Modality: In‑person  Title code: 6412 Orientation: Professional
Number of ECTS Credits: 60 ECTS  Duration of the Master: an academic year
Public prices: See table
Academic Calendar    Opening hours    Examinations    Teaching Guides    Faculty    
Director:  Isaac Martin de Diego
Master's website: https://blogs.etsii.urjc.es/musa/
E-mail: 
University master's information: Phone: 91 665 5060   Inquiries Mailbox

Basic Information

What knowledge will I acquire with this Master?

The main objective of the curriculum is to provide the student with the specific knowledge, skills and competencies to develop, implement and adapt technological solutions for improving data analysis in the sports environment, including analysis of technical, tactical, physical and follower management data of sports clubs.

Is this degree official according to the regulations required by the European Higher Education Area?

Yes, (final verification report is attached) starting the first course in the academic year 2025-26.

Final verification report turned out FAVORABLE

Is it necessary to pass an access test?

It is not necessary.

What is the minimum number of credits for which I can enroll?

You can see it in the rules of permanence in this link

Recommended income profile

Given the technical and technological nature, which is transversal to the main areas of computer engineering, the following specific qualifications are considered to facilitate access to the Master's Degree: Bachelor's Degree in Computer Engineering, Bachelor's Degree in Software Engineering, Bachelor's Degree in Data Science and Engineering, Bachelor's Degree in Mathematics, Bachelor's Degree in Statistics, Bachelor's Degree in Physics, Bachelor's Degree in Artificial Intelligence, Computer Engineering, Technical Engineering in Systems Computing, Telecommunications Engineering, Bachelor's Degree in Mathematics, Statistics or related areas, Bachelor's Degree in Physics, Graduates in Sports Sciences: Graduates in Sports Sciences must demonstrate a minimum of 24 months' experience in sports management, athletic performance, and participation in data analysis projects, acting as experts in the sports domain and not necessarily as data analysts.

Objectives

Sports Data Analyst, Performance Consultant, Sports Marketing and Teacher.

Learning Outcomes

Knowledge

CON1. ​​Learn advanced aspects of the languages ​​most commonly used by data analysts: R and Python.
CON2. Understand the fundamental principles and techniques for acquiring, organizing, combining, cleansing, and storing data from a variety of sources, including databases and APIs.
CON3. Understand the concepts and fundamentals of software development for sports data analysis.
CON4. Classify the main tools and platforms of the sports data analysis ecosystem, understanding their characteristics, functionalities, and theoretical/practical applications.
CON5. Recognize how the sports data scientist relates to other performance areas within a sports structure.
CON6. Understand the principles of data visualization and theories for effectively communicating sports data analysis results using advanced visualization software.
CON7. Identify the specific challenges and issues associated with data management, analysis, and processing in the sports field, including the diversity of data sources, their quality, and the specific needs of sports analysis.
CON8. Understand the advanced methodologies used in large-scale data analysis.

Skills

HAB1. Identify and propose solutions to specific problems in sports data management and analysis, adapting analysis techniques to the needs of different contexts and data sources in the sports field.
HAB2. Apply mathematical tools to develop biomechanical models based on inverse and direct dynamics for motion analysis.
HAB3. Develop mathematical models that allow for the evaluation of the technical and tactical performance of athletes and sports teams.
HAB4. Design and develop innovative technical solutions to optimize athletic performance, using sports modeling, simulation, and data analysis techniques applied to specific problems in biomechanics, athlete monitoring, or tactical improvement.
HAB5. Develop specialized web resources and applications for sports, including the design and implementation of interactive data analysis platforms and data visualization tools accessible online.
HAB6. Apply machine learning techniques based on association, clustering, decision trees, and neural networks to analyze large data sets in the sports environment.
HAB7. Critically evaluate published scientific literature, debate and articulate ideas, protocols, and actions within the framework of data analysis in sport.

Competences

COM1. Work in interdisciplinary teams made up of professionals from diverse fields of knowledge related to sports.
COM2. Develop and apply original ideas in the area of ​​sports data analysis, utilizing available methodologies and technological tools.
COM3. Develop the capacity for continuous self-learning in sports data engineering and analysis, using reliable and up-to-date sources of information and scientific references to keep up with advances in the state of the art or technology.
COM4. Write and present technical and scientific documents
COM5. Apply different machine learning methodologies, processes, and tools to detect and analyze latent information in sports data.
COM6. Implement Big Data methods and technologies to achieve and optimize business requirements and objectives in the sports field.
COM7. Use Big Data extraction, preparation, storage, and analysis tools.
COM8. Integrate and apply different data analysis methodologies and techniques in a sports environment, maximizing the efficiency and accuracy of the analyses.
COM9. Understand, design, and implement data visualization techniques that effectively communicate the results of analyses.
COM10. Design advanced data models adapted to the sports domain.
COM11. Manage tools that allow for the automation of the engineering and data analysis process.
COM12. Adapt and apply new technological trends, such as the use of artificial intelligence, machine learning, Big Data, and real-time analytics, in the development of engineering and data analysis systems, in order to improve performance and efficiency in sports analysis.
COM13. Correctly select and use electronic and analog data collection devices for sports, optimizing their use for performance analysis.
COM14. Integrate sustainability and social responsibility principles into sports data analysis projects, promoting ethical and inclusive practices that respect human rights and the environment.
COM15. Develop and present, before a university panel formed for this purpose, an original and individual work in the field of sports data analysis, independently applying the acquired knowledge and skills.

Admission and enrollment

The general requirements for access to University Master's Degrees are, according to article 18 of Royal Decree 822/2021, of September 28, which establishes the organization of university education and the procedure for ensuring its quality, the following:

  1. Possession of an official Spanish Graduate or Graduate university degree or equivalent is a condition for accessing a Master's Degree, or, where appropriate, having another University Master's degree, or titles of the same level as the Spanish Bachelor's or Master's degree issued by universities and higher education institutions in an EHEA country that in that country allow access to Master's degrees.
  2. In the same way, people in possession of titles from educational systems that are not part of the EHEA, which are equivalent to a Bachelor's degree, will be able to access a Master's Degree in the Spanish university system, without the need for homologation of the title, but verification by of the university of the level of training that they imply, as long as in the country where said title was issued it allows access to university postgraduate level studies. In no case will access through this route imply the homologation of the previous degree held by the person concerned or its recognition for other purposes than that of carrying out the Master's degree.
  3. Universities will guarantee transparent and accessible information on admission procedures, and must have student orientation systems. Likewise, they will ensure that said information and admission procedures take into account students with disabilities or with specific needs, and will have appropriate support and advice services.
  4. Universities may exceptionally establish, based on specific regulations approved by their governing bodies, conditional enrollment procedures for access to a University Master's Degree. This will consist of allowing a Bachelor's degree student who has yet to pass the TFG and a maximum of up to 9 ECTS credits, to be able to access and enroll in a University Master's Degree, although in no case will they be able to obtain the Master's degree if they have not previously has obtained the Bachelor's degree. Universities will guarantee priority in the enrollment of students who have the official university degree of Graduate or Graduate. In this procedure, credits pending recognition or transfer in the Bachelor's degree may be taken into account, or the requirement to exceed a certain level of knowledge of a foreign language to obtain the degree.
  5. Universities or centers will regulate admission to Master's Degree courses, establishing specific requirements and, if necessary, training complements, whose credit load may not exceed the equivalent of 20 percent of the credit load of the degree. The training complement credits will have the same consideration as the rest of the credits in the University Master's degree curriculum.
  6. Universities will reserve at least 5 percent of the places offered in official university Master's degrees for students who have a recognized degree of disability equal to or greater than 33 percent, as well as for students with permanent educational support needs. associated with personal circumstances of disability, who in their previous studies have required resources and support for their full educational inclusion.

Admission:

The Rey Juan Carlos University does not have specific admission regulations, but is governed by article 18 of Royal Decree 822/2021, of September 28. Each degree has its own general access criteria and special access tests.

Admission to the University Master's Degrees will be carried out through a selection process; In some cases, this process may involve a selection test. The Master's Management will inform interested parties what the selection test will consist of, as well as the exact date and place of completion through this application and by means of a notice via email.

GENERAL ACCESS CRITERIA:

Given the technical and technological nature of the curriculum, which is transversal to the main areas of computer engineering, the following specific qualifications are considered to facilitate access to the Master's Degree: Bachelor's Degree in Computer Engineering, Bachelor's Degree in Software Engineering, Bachelor's Degree in Data Science and Engineering, Bachelor's Degree in Mathematics, Bachelor's Degree in Statistics, Bachelor's Degree in Physics, Bachelor's Degree in Artificial Intelligence, Computer Engineering, Technical Engineering in Computer Systems, Telecommunications Engineering, Bachelor's Degree in Mathematics, Statistics or related areas, Bachelor's Degree in Physics, Graduates in Sports Sciences: Graduates in Sports Sciences must demonstrate a minimum of 24 months' experience in sports management, athletic performance, and participation in data analysis projects, acting as experts in the sports domain and not necessarily as data analysts. Desired skills:

  • Experience in sports management and athletic performance.
  • Participation in business projects related to sports data analysis.
  • Ability to work in a team and solve problems.
  • Basic skills in the use of computer tools.

This experience will be assessed through a statement of acquired competencies describing specific projects undertaken, the use of relevant software and tools used, as well as the duration of these. Additional evidence may be requested, such as analysis reports, presentations or references from project supervisors.

Other official degrees or qualifications that include programming, databases, and machine learning subjects in their curriculum.

Applicants must have a basic background in programming and statistics.

Sports Industry Professionals: Sports industry professionals must demonstrate a minimum of 24 months of experience in sports management, athletic performance, and participation in data analysis projects, acting as experts in the sports domain and not necessarily as data analysts. Desired skills:

  • Experience in sports management and athletic performance.
  • Participation in business projects related to sports data analysis.
  • Ability to work in a team and solve problems.
  • Basic skills in the use of computer tools.

This experience will be evaluated through a detailed curriculum vitae that includes descriptions of previous positions, relevant projects, and certifications in methodologies applied to sports, as well as the time in each of the claimed degrees. The submission of letters of recommendation or performance reports may be required.

Likewise, applicants for double degrees with areas of knowledge related to the above provisions will be taken into account.

Graduates in Physics and Mathematics are considered eligible to access the Master's Degree in Sports Data Analysis without the need for additional training, since their training provides them with the necessary tools to address data analysis effectively and efficiently in the sports context. Below is the justification for including Degrees in Physics and Mathematics in the access profile:

Solid theoretical foundations

Physics graduates understand the scientific and mathematical principles underlying phenomena, essential for data analysis in sport. Their training includes the study of mathematical models, statistics and experimental methods, allowing them to tackle complex problems in a rigorous manner.

The degree in Mathematics provides graduates with advanced skills in analysis, algebra and probability theory. These competencies are fundamental for data interpretation and modelling, as well as for the application of statistical techniques and algorithms in the analysis of sports data.

Training in programming and software

Many degree programs in Mathematics and Physics include programming components and the use of analysis software (such as R, or Python). This technical background enables graduates to apply computational tools in the analysis of sports data, ensuring they can handle the technological demands of the master's degree.

Experience in quantitative methods

Both degrees emphasize training in quantitative methods, which are crucial for data analysis. Students have learned to handle large volumes of information, apply modeling techniques and perform statistical analysis, allowing them to work with sports data without the need for additional training.

Ability for critical thinking and problem solving

Training in Physics and Mathematics fosters critical thinking skills and the ability to solve complex problems. These skills are vital for data analysis, where it is necessary to interpret results, perform validations and make decisions based on evidence.

Contribution to Interdisciplinarity

knowledge that is essential to address the challenges of data analysis in sport.

CONDITIONS OR SPECIAL ACCESS TESTS:

If necessary, the student's CV will be assessed, taking into account his/her professional experience, his/her projection in relation to the objectives of the master's degree, and his/her academic record. If the demand for applications exceeds the places offered, admission will be prioritized according to the following criteria, with a total score of ten points:

  • Direct access curriculum: 40%
  • Academic record: 35%
  • Curriculum and professional experience: 25%

Notes on the criteria:

Direct access curriculum: Equal value will be considered for all degrees that meet the established requirements, regardless of the university where they were taken.

Academic record: The average grade of the academic record will be assessed, ensuring that the same evaluation criteria are used for all applicants.

Curriculum and professional experience: Previous experience related to sports data analysis and any other relevant experience in the professional field will be objectively evaluated.

Offer of places: 20 seats. If the minimum number of students envisaged is not reached in a course, the University may choose not to open the teaching group.

See admission and enrollment

IMPORTANT: Enrolment in this master's degree will be subject to final approval.

Training itinerary

Master's Teaching Guides

ACCESS TO ALL UNIVERSITY TEACHING GUIDES

Training Itinerary

External Internships

The External Practices subject is a curricular subject whose main objective is to promote a comprehensive training of the student through the practical application of the knowledge acquired during the master's degree, which facilitates direct contact with the professional activity and the opportunity to join the professional world with a minimum of experience. All practices are designed so that the students who participate in them acquire professional experience in real situations and conditions, applying the knowledge, skills and attitudes that are acquired in the training processes throughout the degree. The internships represent a decisive opportunity for the personal development and professional future of the students.

Internships are activities carried out by the student in companies, institutions and organizations; that is, in centers outside the university premises, which aim to enrich and complement your university education, while providing you with a deeper knowledge about the skills you will need once you have graduated.

The External Practices subject will consist of two phases:

  • Completion of the internship period that offers professional experience related to any of the graduate profiles that are expressed in the Verification Report of the degree.
  • Elaboration of the memory

Documentation:

Degree Training Project

For more information:  External Internship Unit

Social Security contributions for interns starting January 1, 2024

Mobility programs

University Master's degrees, due to their duration and characteristics, in general do not specifically contemplate the mobility of their students. However, the Rey Juan Carlos University has different mobility programs for both students and University workers (PDI and PAS) and has procedures for collecting and analyzing information on these mobility programs.

URJC Mobility

Privacy Policy

STUDENTS

TEACHING COORDINATION

COEXISTENCE REGIME

SCHOOL INSURANCE

ASSOCIATIONS

EVALUATION

  • Article 6.1.2. The favorable resolution of the request for total cancellation of registration does not necessarily imply the refund of the amount paid by the student. To do this, the requirements established in the Article 10.3 of the present regulations.
  • Article 11.3.  The extension of the period of permanence will be requested through the procedure established for this purpose by the Rey Juan Carlos University in the electronic office, within the established period. The Rector may authorize the continuation of studies in those cases in which exceptional causes, duly documented, have affected the academic performance of the students., valid for that academic year (up to a maximum of one year)
  • Article 11.4.  In accordance with what is established by the Article 4 of these regulations, those students whose request to remain is resolved favorably will have to enroll in all the remaining subjects to complete their studies.
  • Article 11.5.  For subjects with an indefinite call, once the extension of the permanence period is granted, the fees corresponding to the second and successive registrations will be paid according to the corresponding Public Price Decree as long as they have been previously enrolled in that subject.
  • Article 12.4.  Once this is granted, the student must enroll in accordance with the provisions of the Article 4 of the present regulations.
  • Article 12.5.  For subjects with an indefinite call, once continuity in the University Master's studies is granted, the fees corresponding to the second and successive registrations will be paid according to the corresponding Public Price Decree as long as they have been previously enrolled in that subject.

 

Quality guarantee

RUCT link

BOCM Link

Composition of the commission

Composition of the Commission

Results report

Once the monitoring of the Master's Degree has been carried out, the most relevant quantitative information on the results obtained in the monitoring of said Degree is displayed, differentiated by academic year.

Reports by course:

General information collection plan

Within the quality assurance system of the Rey Juan Carlos University, the following surveys are planned:

- Student profile

- Teacher evaluation

- Degree of satisfaction:

  • Of the students
  • of the graduates
  • From the Faculty
  • Administration and Services Staff

- Labor insertion

- External internships:

  • Satisfaction of interns
  • External tutor satisfaction
  • Employer satisfaction

Survey results:

Improvement actions

The Quality Assurance System of the Rey Juan Carlos University establishes that the degree's Quality Assurance Commission will annually analyze the information derived from the degree's indicators and prepare a report that will include improvement plans if the results so indicate.

Renewal of accreditation

The renewal of the accreditation represents the culmination of the implementation process of the official Bachelor's and Master's degrees registered in the Register of Universities, Centers and Degrees (RUCT). The renewal of the accreditation of official bachelor's and master's degrees is organized in three phases: self-assessment report, external visit and final assessment.

In the first phase, the university describes and assesses the status of the degree with respect to the established criteria and guidelines. The result is the Self-Assessment Report (IA) that is presented. The second and third phases are carried out by a group of evaluators external to the evaluated title.”

  • Final Report Accreditation Renewal

Tracking

Special

  • Final Report Special Monitoring