Study plan Bachelor's Degree in Applied Statistics
Study guides
The information currently available corresponds to the subjects offered during the 2022/23 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 (2021-22)
2nd year
104848 - Numerical Methods and Optimisation
104857 - Multidimensional Distributions
104854 - Sampling and Survey Design
104856 - Statistical Inference 2
104869 - Unsupervised Learning
3rd year
104864 - Complex Data Modelling
104874 - Introduction to Econometrics (2021-22)
104861 - Linear Models 2 (2021-22)
104868 - Simulation and Resampling
104873 - Statistics in the Health Sciences
4th year
103166 - Bachelor's Degree Final Project
Optional
104876 - Advanced Financial Engineering (2021-22)
104886 - Big Data Analysis in Bioinformatics
104878 - Cross-Sectional Data Analysis
104875 - Introduction to Financial Engineering
104879 - Longitudinal Data Analysis
104866 - Methodological Advances
104881 - Statistics and Psychometric Models
104877 - Statistics Consultancy