Study plan Bachelor's Degree in Applied Statistics

Study guides

Title of qualification awarded

Degree in Applied Statistics

Timetables

TIMETABLE

Table of credits for each course

  Basic training Compulsory Optional Bachelor's Degree Final Project
1st year 54 6    
2nd year 6 54    
3rd year   60    
4th year     48 12
Totals 60 120 48 12

Period of study

Annual registration. Courses scheduled by semester.

Part-time or full-time

Possibility of taking the slow track option (part-time studies): 30 credits in the first year and from 24 to 42 in the remaining years.

Basic and compulsory training

1st year 2nd year
1st semester
- Calculus 1
- Linear Algebra
- Introduction to Probability
- Computer Tools for Statistics
- Exploratory Data Analysis
2nd semester
- Calculus 2
- Probability
- Introduction to Programming
- Data Retreival and Storage
- Statistical Inference 1
1st semester
- Multidimensional Distributions
- Sampling and Survey Design
- Statistical Inference 2
- Numerical Methods and Optimisation
- Bioinformatics
2nd semester
- Experimental Designs
-Linear Models 1
- Stochastic Processes
- Survival Analysis
- Introduction to Econometrics
3rd year 4th year

1st semester
- Unsupervised Learning
- Machine Learning 1
- Time Series
- Linear Models 2
- Statistics in the Health Sciences
- Bayesian Methods
2nd semester
- Complex Data Modelling
- Advanced Modelling
- Simulation and Resampling
- Machine Learning 2

- Bachelor's Degree Final Project
 

Optional subjects

 

4th year
- External Work Placement in Assistant Mode (*)
- External Work Placement in Analyst Mode / 12 cr. (*)
- External Work Placement in Consultant Mode / 18 cr. (*)
- Methodological Advances
- Advanced R

(*) You can only enrol in one of these three external work placement subjects.

In order to earn a specialisation you must complete a minimum of 30 credits belonging to that track..

Specialisation in Statistics for Health Sciences Specialisation in Statistics for Social Sciences
- Disseny d'Assaigs Clínics
- Statistics Consultancy
- Cross-Sectional Data Analysis
- Longitudinal Data Analysis
- Statistics and Psychometric Models
- Psychometrics
- Topics in Bioscience and Science
- Data Sources
- Big Data Analysis in Bioinformatics
- Public Health

- Statistics Consultancy
- Econometric Models
- Data Sources
- Statistics and Psychometric Models
- Introduction to Financial Engineering
- Advanced Financial Engineering
- Decision Theory
- Psychometrics


All optional subjects are worth 6 credits except when specified.