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Expert in Design of experiments and use of mixed models in R with mention of a university microcredential.

Own Teachings
Telephone: 91 488 70 40
Academic Director: Luis Cayuela

more information    Course Website

Basic Information


The Expert course titled 'Designing experiments and using mixed models in R' is conceived as a direct response to the growing social, scientific and professional demand to acquire advanced skills in planning and analyzing experiments in a complex data environment. Today, experimental design and mixed model management are essential competencies in a variety of fields, from scientific research to decision making in business and problem solving in everyday life. This course aims to satisfy this demand by delivering rigorous and practical content, supported by the use of the R platform, a widely recognized tool in the field of statistics and data analysis. By equipping participants with these skills, the course aims to empower them to address scientific, professional and cultural challenges in a more effective and evidence-based manner, thereby promoting a higher level of competence and excellence in their respective fields.


  1. Understand the Fundamentals of Experimental Design: Upon completion of the course, students will be able to explain the fundamental concepts of experimental design, including the identification of variables, the formulation of hypotheses, and the planning of experiments.
  2. Master Using R for Statistical Analysis: Students will acquire advanced skills in using the R platform to perform complex statistical analysis, graph generation, and data visualization.
  3. Apply Mixed Models in Practical Problems: Students will be able to apply mixed models to analyze data and make informed decisions based on the results.
  4. Develop Technical Communication Skills: By the end of the course, students will have improved their technical communication skills, being able to present analysis results clearly and effectively through technical reports and presentations.
  5. Foster Professional Ethics in Research: Students will understand the importance of ethics in experimental research and data management, and apply ethical principles in their work.
  6. Promote Interdisciplinary Collaboration: Students will develop the ability to collaborate effectively on interdisciplinary research projects that require advanced data analysis, contributing to multidisciplinary teams efficiently.
  7. Update Professional Competencies: Students will be prepared to stay up-to-date in statistical methods and techniques throughout their careers, adapting to the changing demands of their professional fields.


Name of the Content Modules

Brief description (maximum recommended 160 characters)


Learning Outcomes



Introduction to experimental design.

Introduction to the use of statistical models to determine if specific factors affect a variable and quantify their influence.


CO1, H1, CO3



Understanding mixed models.
Mixed models in R are statistical tools that integrate fixed and random effects, useful for addressing variability in complex data.


C1, C2, C3, C4



Functions for using mixed models in R.

R offers functions for fitting and analyzing mixed models, ideal for studies with multiple sources of variation and correlations.


C1, C3



Mixed Models: Varied Experimental Data.
Analyze experimental data with mixed models: blocks, split-plot, repeated measures and factorial designs.


CO2, CO4



Carrying out case studies in class.

Case studies provide the opportunity to learn in an active and participatory way, improving in-depth understanding of the topics taught.


H1, CO2, C2, H2, H3, H4




OB= Compulsory OPT: Optional


access requirements

This training is aimed at students who have a previous university degree.

Students enrolled in a Bachelor's or Double Degree who have a maximum of 30 ECTS credits of an official university degree in Spain whose profile matches the functions legally provided for in the corresponding field will be able to access conditionally. In this case, no type of certification will be obtained until it is proven that one is in possession of the official university degree required for access to postgraduate education.

Exceptionally, they will also be able to access these professional studies without a previous official university degree that certifies work experience in this field. In this case, they will only be eligible for a diploma or a university extension certificate with the same name and number of credits as this Title, in accordance with the equivalence table included in Annex I of the Own Teaching Regulations of the Rey Juan University. Carlos.

In order to take the course, participants will need to have basic knowledge of R, a laptop, recent versions of R and RStudio, and a set of R packages whose installation instructions will be sent before the course.

In reference to people who opt through the quota reserved for people with disabilities, victims of terrorism and gender victims, we indicate that from the organization of the course we will try to make the means we have available if it is necessary to make any adaptation of material resources, infrastructure and services.

Selection criteria

In the event that the number of applications exceeds the number of places offered, a selection will be made based on the following objectively weighted criteria as stated:

  1. Academic Qualification (Weighting: 40%): The adequacy of the applicant's academic qualification will be evaluated in relation to the content and level of the courses offered. Higher scores will be assigned to applicants whose degree is directly related to the course's field of study.
  2. Professional Situation (Weighting: 30%): The applicant's current professional situation will be considered. Those who are working or researching in a field related to the courses will be positively valued, as this will indicate a practical application of the knowledge acquired. Applicants who are undergraduate, master's or doctoral students, researchers and university professors will also be evaluated based on their academic standing and their potential to apply the knowledge acquired.
  3. Level of Studies (Weighting: 30%): The applicant's level of studies will be taken into account. Higher scores will be assigned to those who are in advanced stages of their studies, such as Master's or PhD students, as they are expected to have a stronger level of understanding and experience in the area of ​​study.

Number of Places: 20

Academic Management and Faculty


Duration and development

Modality: Face-to-face/blended/online

Number of credits: 3 ECTS credits

Contact hours:30 hours

Place of delivery: Madrid-Quintana Headquarters

Schedules: Monday to Thursday from 9:30 a.m. to 13:30 p.m. and from 15 p.m. to 17:30 p.m. and Friday from 9:30 a.m. to 13:30 p.m.

Start and end date: From July 8 to 12, 2024

Reservation of place and enrollment

Pre-registration period: From April 4, 2024 to June 17, 2024

Enrollment deadline: From June 19 to July 1, 2024

Title price: 690 €

The start of the course is conditioned to the minimum number of students enrolled.

Documentation to attach, forms and place of delivery

the applicants they will present all the scanned documentation, in the formats allowed through the telematic self-registration application at the time of applying for admission to own degrees. They must compulsorily attach to their request the declaration of the person responsible for the veracity of the data provided in digital format.

At any time, both the Program Management and the Own Teaching Service may request the applicants to submit said certified/collated documentation through the General Registry, located on the Móstoles Campus, or in any of the registries assistants located in the different campuses of the Rey Juan Carlos University, or by sending it through Certified Mail to: Rey Juan Carlos University. General Registry. Avda. Tulipán s/n. 28933. Mostoles. Madrid

The student is responsible for the veracity and correctness of the data provided, exonerating the Rey Juan Carlos University from any responsibility and guaranteeing and being responsible for its accuracy, validity and authenticity.

Required documentation:

Students with a degree obtained from a Spanish university or a Higher Education Institution belonging to another Member State of the European Higher Education Area that authorizes access to own postgraduate degrees must present the following documentation:

  • National Identity Document or equivalent
  • University degree of the studies that give access to the requested postgraduate degree.
  • Curriculum vitae
  • Responsible declaration of veracity of the data provided in digital format
  • Any other document that the Director of the Own Title specifically requires for its acceptance

Students with a foreign degree must present the following documentation:

  • Passport or Residence Card
  • Foreign Higher Education Degree (Graduate, Graduate, Architect, Engineer Doctor...) that give access to own postgraduate degree studies.
  • Curriculum vitae
  • Declaration of the person responsible for the veracity of the data provided in digital format
  • Any other document that the Director of the Own Title specifically requires for its acceptance

Applicants with studies completed in foreign University Centers may be requested at any time a certificate of verification of these studies and centers, issued by an authorized Institution.

All documentation provided must be legalized in accordance with Spanish law and translated by an official translator.