Study plan Bachelor's Degree in Computational Mathematics and Data Analytics

Study guides

The information currently available corresponds to the subjects offered during the 2020/21 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

 104381 - Linear Algebra

 104387 - Multi-Variable Calculus

 104390 - Numerical Calculus

 104389 - Object-Oriented Programming

 104382 - One-Variable Calculus

 104386 - Probability

 104385 - System Software

2nd year

 104391 - 3D Visualisation

 104398 - Artificial Intelligence

 104399 - Complex Data Analysis

 104400 - Complex Fourier Analysis

 104392 - Modelling and Inference

 104395 - Numerical and Probabilistic Methods

 104396 - Optimisation

 104397 - Ordinary Differential Equations

 104394 - Relational Databases

 104393 - Techniques of Algorithm Design

3rd year

 104403 - Computational Learning

 104406 - Distributed and Cloud Systems

 104401 - Equations in Partial Derivatives

 104404 - High-Performance Computation

 104405 - Information Theory

 104410 - Modelling and Simulation

 104407 - Neural Networks and Deep Learning

 104409 - Non-Relational Databases

 104402 - Physics, Abstraction and Computation

 104408 - Quantum Information

Optional

 100092 - Science Topics Today