Bachelor's Degree in Applied Statistics
Study guides
The information currently available corresponds to the subjects offered during the 2025/26 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
104853 - Exploratory Data Analysis
104849 - Informatics Tools for Statistics
104846 - Introduction to Probability
104850 - Introduction to Programming
104855 - Statistical Inference 1
2nd year
104848 - Numerical Methods and Optimisation
104874 - Introduction to Econometrics (2024-25)
104857 - Multidimensional Distributions
104854 - Sampling and Survey Design
104856 - Statistical Inference 2
3rd year
104864 - Complex Data Modelling
104868 - Simulation and Resampling
104873 - Statistics in the Health Sciences
104869 - Unsupervised Learning
4th year
104876 - Advanced Financial Engineering
107509 - Advanced Programming
104886 - Big Data Analysis in Bioinformatics (2024-25)
104878 - Cross-Sectional Data Analysis
104884 - Data Sources
107510 - Data Visualisation
104883 - Econometric Models
104875 - Introduction to Financial Engineering
104879 - Longitudinal Data Analysis (2024-25)
104866 - Methodological Advances
104887 - Public Health
104881 - Statistics and Psychometric Models
104877 - Statistics Consultancy
104888 - Topics in Bioscience and Science
107511 - Work Placement: Analyst (2024-25)