Study plan Bachelor's Degree in Applied Statistics
Study guides
The information currently available corresponds to the subjects offered during the 2024/25 academic year. If you wish to consult the information included in a study guide not found on the list, please visit the Digital Repository of Documents. The complete information of all the subjects of the Degree can be consulted in the Study Plan and timetables section.
The information on the languages used in each subject can be found in the study guide for each subject.
1st year
104851 - Data Retreival and Storage (2023-24)
104853 - Exploratory Data Analysis
104849 - Informatics Tools for Statistics (2023-24)
104846 - Introduction to Probability (2023-24)
104850 - Introduction to Programming (2023-24)
104847 - Probability (2023-24)
104855 - Statistical Inference 1 (2023-24)
2nd year
104848 - Numerical Methods and Optimisation
104872 - Bioinformatics (2023-24)
104874 - Introduction to Econometrics
104860 - Linear Models 1 (2023-24)
104857 - Multidimensional Distributions
104854 - Sampling and Survey Design (2023-24)
104856 - Statistical Inference 2
104867 - Survival Analysis (2023-24)
3rd year
104865 - Advanced Modelling (2023-24)
104864 - Complex Data Modelling
104861 - Linear Models 2 (2023-24)
104870 - Machine Learning 1 (2023-24)
104871 - Machine Learning 2 (2023-24)
104868 - Simulation and Resampling (2023-24)
104873 - Statistics in the Health Sciences
104869 - Unsupervised Learning (2023-24)
4th year
103166 - Bachelor's Degree Final Project
Optional
104876 - Advanced Financial Engineering
104886 - Big Data Analysis in Bioinformatics (2023-24)
104878 - Cross-Sectional Data Analysis
104875 - Introduction to Financial Engineering
104879 - Longitudinal Data Analysis
104866 - Methodological Advances (2023-24)