Expert Diploma in
research methodology research social sciences
Dates:
January 14, 2026 – June 10, 2026
Number of credits:
12 ECTS credit
3 ECTS credit per course
Price:
€840 / €210 per module
*
*Discounts (not cumulative)
University professors: 25% discount
The goal is to provide knowledge and solid knowledge about the methodology used in social research to researchers in training professors.
Throughout these modules, various fundamental aspects of social science research will be covered, ranging from the pillars of design and data collection techniques to tools for analyzing and processing information, as well as the measurement, assessment modeling of data .
profile of the participant
Students of Doctorate belonging to programs in the field of Social Sciences or related fields.
University graduates with Master's Degree the area Social Sciences.
Faculty e researchers with an interest in training and furthering their knowledge in this field.
Anyone who wants to expand their training this field and has degree program Degree.
Everyone must have a level of English that allows scientific articles to be read in this language.
exit profile
Upon completion of the Diploma , students will have achieved the following learning outcomes:
Understand the fundamentals and methods of research the field of Social Sciences and their application.
Understand how statistical analysis data statistical analysis techniqueswork data the field of social sciences.
Understanding the ethical implications of research the social sciences.
Develop skills for data analysis of a social nature, through the application of statistical analysis techniques.
Prepare written technical reports involving data analysis using the chosen tool .
schedule program and schedule
You can take the full Diploma Social research Methodology (four focused courses) or enroll in the focused course that best suits your needs.
Diploma (full program)
January 14, 2026 – June 10, 2026
COURSE 1
January 14, 2026 – February 18, 2026
Course focused on Fundamentals of research Methodology research Social Sciences
-
Fundamentals and approach of the research
-
Operationalization and design
-
design and collection strategies
-
Analysis, framework , and scientific communication
COURSE 2
February 9, 2026–March 16, 2026
Course focused on research methodology in social sciences
-
Fundamentals and approaches to research
-
qualitative design
-
data production and collection
-
Treatment and analysis
COURSE 3
April 14, 2026–May 7, 2026
Course focused data analysis Fundamentals of data analysis Social Sciences
-
Open science and tools ®
-
Quantitative fundamentals and basic statistics
-
Inference: hypothesis testing and group comparison
-
Relationships between variables and models
COURSE 4
May 11, 2026–June 10, 2026
Course focused on Fundamentals of Multivariate Statistics in Social Sciences
-
Fundamentals and tools (multivariate + R)
-
Predictive and relationship models (regression + mediation/moderation)
-
Dimensionality reduction and latent structure
-
Advanced multivariate models and classification techniques
Faculty
Methodology
APPLIED THEORETICAL SESSIONS
exhibition fundamentals (methodology, qualitative data analysis multivariate statistics) geared toward immediate use in exercises and projects.
Hands-on learning in classroom
Workshops, guided activities, and problem/case solving to translate theory into real methodological decisions.
work AND AUTONOMOUS work
Preparatory readings, progressive tasks to develop a research proposal , research study/reflection time to consolidate skills.
TUTORING AND FOLLOW-UP
Support spaces to review progress, correct approach improve essay methodological rigor.
work AND COLLABORATIVE work
Individual activities (tests, designs, pre-registration) and group activities group workshops and discussion of approaches).
TEAM-BASED LEARNING (TBL) IN data analysis
Individual test + team review + application activities (cases/problems).
PROJECT-BASED LEARNING
Gradual development of assessable products:
- complete outline
- research design
- design linked to topic
- Pre-registration of quantitative study
- research proposal research multivariate techniques
HANDS-ON METHODOLOGY WITH SOFTWARE
Intensive use of R with executable notebooks in Posit, editable code as support, and internship (including submission ).
assessment AND APPLIED assessment
Guided readings, practical exercises, critical analysis of articles, and identification of methodological errors, plus final projects per module.
OPERATIONAL REQUIREMENT core topic
Due to the approach and work R, it is essential to bring a computer.
Certification:
certificate course(s) will be awarded if you have attended 80% of the classes and successfully completed the learning outcomes. To obtain the course certificate , you must approve courses.
If you would like to take the course, apply for admission through the admissionportal .
