Study plan Bachelor's Degree in Computational Mathematics and Data Analytics
Study guides
The information currently available corresponds to the subjects offered during the 2023/24 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
104388 - Algorithmics and Combinatorics in Graphs. Heuristic Methods
104384 - Foundations of Computers
104383 - Introduction to Programming
104387 - Multi-Variable Calculus
104389 - Object-Oriented Programming
104382 - One-Variable Calculus
2nd year
104398 - Artificial Intelligence
104399 - Complex Data Analysis
104400 - Complex Fourier Analysis
104392 - Modelling and Inference
104395 - Numerical and Probabilistic Methods
104397 - Ordinary Differential Equations
104393 - Techniques of Algorithm Design
3rd year
104403 - Computational Learning
104406 - Distributed and Cloud Systems
104401 - Equations in Partial Derivatives
104404 - High-Performance Computation
104410 - Modelling and Simulation
104407 - Neural Networks and Deep Learning
104409 - Non-Relational Databases
104402 - Physics, Abstraction and Computation
4th year
104411 - Bachelor's Degree Final Project
Optional
100092 - Current Scientific Matters
104416 - Data Analysis in Astrophysics
104412 - Financial Data Analysis
104424 - High-Performance Simulation
104418 - Information and Security
104414 - Methods of Analysis in Health Sciences
104413 - Temporal Data Analysis