Graduate School of Economics and Political Science
- Direction
- Prof. Margarita Torre Fernández, Prof. Iñaki Úcar Marqués
- Language
- English
- Attendance
- On-campus
- Credits
- 60 ECTS
- Campus
- Madrid - Puerta de Toledo
- Applications
-
☛ Places available: 35
- Departments
- Carlos III-Juan March Institute of Social Sciences (IC3JM), UC3M-Santander Big Data Institute (IBiDat), Social Sciences Department, Statistics Department, Computer Science and Engineering Department
CONTACT
Click here and make your query
APPLICATION FOR ADMISSION
If you do not remember your password you can access our application to create a new one.
- Inicio
Digital technology has revolutionized society and the way we study it. Much of human interaction is recorded in the form of a digital footprint, and analyzing it allows us to gain an unprecedented understanding of society and how it works. In this new context, the figure of the computational social scientist emerges. This new profile combines the characteristics of the social scientist with new computational approaches based on predictive modeling, text analysis and network science to analyze society in a new and revealing way.
The Master in Computational Social Science offers specialized training in cutting-edge computational and quantitative analysis techniques oriented to the study of the Social Sciences. This program prepares you to take advantage of complex data and advanced computational tools to understand society and human behavior.
The Master is preferably geared towards students with a background in Social Sciences, Economics, Communication and Law, and prepares them to work in the professional and academic fields, and to lead and supervise interdisciplinary teams in the field of Computational Social Sciences.
│MASTER IN NUMBERS
- ☛ Maximum 35 students per class
- ☛ 90% of professors with Ph.D. degree
- ☛ The demand for computational social scientists has grown quickly in recent years and is expected to grow even more in the future.
- CURRICULUM
- CURRICULUM
📥 │ Subject topics
Formative Complements * Subjects ECTS TYPE Language Introduction to R programming 3 FC Basic statistics 3 FC Year 1 - Semester 1
Year 1 - Semester 2
General subjects Subjects ECTS TYPE Language Social and ethical issues of Big Data & AI 3 C Survey research methodology II 3 C Social network analysis 3 C Master's Thesis Seminar 3 C Data harvesting 3 C Text mining 3 C Advanced modelling 3 C Causal inference for Social Science 3 C Master's Thesis Subjects ECTS TYPE Language Master's Thesis 6 C vacio * Formative Complements: all students must take these courses/complements. Provided a student have a sufficient level on these subjects based on his or her previous degree or complementary training, the Master´s Coordinator will decide on the possibility of him or her skipping these courses/ complements. Check the requirements for access to the master's degree.
C) Compulsory: 54 ECTS
Master's Thesis: 6 ECTS
course Programs
- QUALITY
GENERAL COURSE INFORMATION
☛ First year offered: 2022
PROGRAMME’S QUALITY ASSURANCE
The Academic Committee of the Master’s programme complies with the SGIC-UC3M and it is responsible for the follow-up, analysis, review, assessment and quality of the program, it contributes with proposals to improve the program and produces the “Memoria Académica de Titulación” (Programme Report).
FACULTY AND COURSE PLAN
- CURRICULUM
- FACULTY
Detailed information about the Master's faculty
UC3M FACULTY
- KAISER REMIRO, REGINA
Department of Statistics
Associate Professor, Deputy Director of Teaching
PhD
Brief CV
- KRAFT, PATRICK
Department of Social Sciences
Ramón y Cajal Fellow
PhD
- NOGALES MARTÍN, FRANCISCO JAVIER
Department of Statistics
Full Professor
PhD
Brief CV
- SÁNCHEZ, ANXO
Department of Mathematics, GISC
Full Professor of Applied Mathematics
PhD
Brief CV
- TORRE FERNÁNDEZ, MARGARITA
Department of Social Sciences
Associate Professor
PhD
Brief CV
- ÚCAR, IÑAKI
Department of Statistics
Visiting Professor
PhD
Brief CV
- VILLAMIL, FRANCISCO
Department of Social Sciences
Visiting Professor
PhD
EXTERNAL FACULTY
- ÁLVAREZ LIÉBANA, JAVIER
Assistant Professor
PhD
UNIVERSIDAD COMPLUTENSE DE MADRID
- CIMENTADA, JORGE
Senior Data Scientist
PhD
EDREAMS ODIGEO
- FERNÁNDEZ, CARLA
Senior Data Scientist
Engineer
PIPERLAB
- IRAZABAL, ELEN
Artificial Intelligence Specialist
Graduate in Law
ADVOCATUSAI
- KOLIC, BLAS
Postdoctoral Fellow
PhD
IMDEA NETWORKS & INSTITUTO DE BIG DATA UC3M-SANTANDER
- NOGUERA FERRER, JOSÉ ANTONIO
Department of Sociology
Associate Professor, Director of the Analytical Sociology Group
PhD
UNIVERSITAT AUTÒNOMA DE BARCELONA
- PÉREZ HERNÁNDEZ, EMMA
Research Data Analyst
Master in Economic Development and Growth
Master in Computational Social Sciences
FEVER
- SALAZAR, LEIRE
Senior Researcher
PhD
INSTITUTE FOR PUBLIC GOODS AND POLICIES (IPP)
CSIC
- TORRIJOS CARUDA, CARMEN
Expert in Artificial Intelligence, Digital Transformation and Technology Integration
Master
PRODIGIOSO VOLCÁN
- KAISER REMIRO, REGINA
- ADMISSION
- ADMISSION
Application
The request is made electronically through our application. Before starting the admission process, please, read the following information:
REQUIREMENTS
In accordance with Royal Decree 822/2021, to be admitted to the Master of Computational Social Sciences, it will be necessary to have a Spanish university Bachelor degree or another oficial university degree issued by a higher education institution of the European Higher Education Area (EHEA) that allows access to graduate education.
Access to the master's degree is open to university graduates in Social and Human Sciences: Political Science and Sociology, Demography, Economic Sciences, Journalism and Communication, Health Sciences, International Studies, Global Studies, Business Administration and Management, Geography and other degrees related or combined with these areas.
Graduates of all these branches of access must take and pass two formative complements as a mandatory requirement for access to the master's degree.
FORMATIVE COMPLEMENTS
Prior to the beginning of the academic year, all students must complete the formative complements in Basic Statistics (3 ECTS) and Introduction to R programming (3 ECTS) that are indicated in the Curriculum. However, students who consider it unnecessary should contact the Master's Coordinator justifying their reasons and accrediting previous training in the specified fields.
The dates and schedules of the Formative Complements can be consulted here.
ADMISSION CRITERIA
The student selection will be made on the following criteria:
ADMISSION CRITERIA WEIGHTING Academic record of studies access 50% English proficiency level higher than the minimum required (B2 according to the European Framework) 10% Courses or non-regulated training related to the areas of knowledge of the Master's program 10% Professional experience related to the areas of knowledge of the master's degree. 10% Qualifications obtained in subjects essential for studying the master's degree 10% Motivation, interest and letters of recommendation 5% Others 5% The documentation should preferably be submitted in the language in which the master's degree is taught (English).
Language requirements
Check the general language requirements required to study a Master’s at UC3M, depending on whether it is in Spanish, English or bilingual.
students with foreign university degrees
Once admitted to the Master’s, students with university degrees issued by a higher education institution belonging to an educational system outside the EHEA, must provide, for enrolment, the diploma, legalized by diplomatic procedures or by means of The Hague Apostille. They must also submit the transcript of records, with the grade point average, duly legalized.
More information about Legalization of Foreign Documents.
If needed, documents must be accompanied by an official sworn translation into Spanish.
- ENROLLMENT
TUITION FEES*
Reservation fee: €600
- it will be paid once the student receives notification of admission to the master’s, and deducted from the first tuition payment
- the reservation fee will only be refunded if the master program is cancelled
60 ECTS in the first academic year:
- EU students: €6,600 (€110/ECTS credit)
- Non EU students: €9,900 (€165/ECTS credit)
NOTE: the indicated public prices do not include in any case, neither the ECTS corresponding to the Formative Complements that the student must take (only master's degrees with previous Formative Complements), nor the cost of issuing the master’s degree certificate.
_______
* Current fees for the 24/25 academic year, pending approval by the Community of Madrid for the 25/26 academic year.
Additional information
- You may enrol on the master’s degree after completing the admission process and receiving formal confirmation of your acceptance.
- When performing the enrolment you can choose between Full-time enrolment or Part-time enrolment.
- The email address provided upon enrolment will be used for formal communications; students are therefore kindly requested to check their mail regularly.
- Pursuant to the regulations of the Universidad Carlos III de Madrid, a student failing to pay any part of the fees will not be admitted and the enrolment process will be terminated. In cases of cancellation of enrolment due to non-payment, the University may demand the payment of the pending amounts for enrolment in previous academic courses as a prior condition of enrolment.
No diploma or certificate will be issued if a student has any outstanding payments.
- ADMISSION
- SCHOLARSHIPS
General information on scholarships
For more information on specific scholarships of interest awarded by UC3M and by other agencies or organisations.
- PRACTICAL INFORMATION
MASTER’S COURSE SCHEDULE
_______
FORMATIVE COMPLEMENTS
📌 Formative Complements for the 2024/25 academic year will be taught ON-CAMPUS and the dates and schedules are as follows:
- Introduction to R Programming: September 2, 4 and 6 | 16:00-20:00 h (two 2-hour slots)
- Basic Statistics: September 3, 5 and 9 | 16:00-20:00 h (two 2-hour slots)
The exams will be held on September 10 at 15:00 h (Introduction to R Programming) and 16:30 h (Basic Statistics).