Studying virtually at Universidad Complutense de Madrid
Modules
ATTENTION: All of the modules offered for the Una Module Exchange at Universidad Complutense de Madrid are taught in Spanish. If you do not speak sufficient Spanish (B1/B2 level), please do not apply for these modules.
Please note that only 3 students will be accepted per module.
Applied Statistics and Data Mining (Estadística aplicada y minería de datos), 9 ECTS credits
Objectives of this module are: (1) Modeling time series (2) Summarising datasets with multiple variables into a reduced set of new variables with minimal loss of information (3) Analysing relationships between variables or between individuals in a dataset to form classification groups with similar characteristics (4) Explaining potential interrelationships between different variables of interest associated with the study experiment (5) Fitting models for the classification/prediction of new observations. Additionally, the aim is for students to learn to apply and interpret these techniques using several programming languages: SAS/R/PYTHON.
Applied Mixed Models (Modelos Mixtos Aplicados), 6 ECTS credits
In this module students will understand and apply the theory and practice of mixed-effects models and Generalised Estimating Equations (GEE) in the analysis of clustered data, such as longitudinal data, repeated measures, and multilevel data. Learn more about General Linear Models, Generalised Linear Models, and Generalised Linear Mixed Models (application, limitations, estimation and testing of hypotheses, criteria for model selction).
Software for Database Management (Software para gestión de bases de datos), 6 ECTS credits
Students will learn to model, build, and design multidimensional databases in such a way that queries are customised to the objective of a study. This module works with the programmes R and RStudio and will convey students knowledge about variable types, vectors matrices, pivoting tables, import/export of datasets, detecing outliers and missing values, and working with lists and qualitative variables, as part of these programmes.
Massive Data Process (Tratamiento de datos masivos), 6 ECTS credits
After this module students will be able to asess the suitability and efficiency of selected distributed storage systems, both in local clusters and through cloud hosting, when dealing with problems of massive data processing. Students will be introduced to Big Data, NoSQL databases, distributed computing (Dask, Spark), data processing and descriptive statistics, first data structures, tidyverse, control structures, loop, and custom functions.
Studying at Universidad Complutense de Madrid
Important Dates - Fall Term 2025
- Application deadline: 30 June.
- First day of lectures for Master's students: 22 September, last day of lectures 19 December
- Exam period: 8-23 January, 2026.
- Your Transcript of Records will be issued by 15 February.
Application Process
Application Guide
- Fill out the following form, providing all necessary information, as well as uploading your current transcript of records. Application form
- To access the form you haev to use a Gmail account. You can later indicate another email address to be contacted.
- Once we have reviewed the application we will contact students, to enrol them in the module(s) they wish.
Required Documents
- A copy of your Curriculum Vitae.
- Your Bachelor's and Master's Transcript of Records.
- A certificate of your Spanish language proficiency.
Participation Limitation
In order to provide online participants with the same learning quality, as students who participate on-site, there are limited spots reserved for DSAI Module Exchange participants. A maximum of 3 students will be accepted per module. Once the selection has been made, you will be contacted.
