Bachelor Computation and Applied Mathematics

1. With the exponential advance in the volume of `big data¿ and its digital transformation over the last decade and a half, we have witnessed and continue to observe a phase of constant reinvention not only of the infrastructures and models of information systems, but also the reinvention of new profiles of professionals in the transformation of data into knowledge. 2. It can be seen that professionals trained in areas related to traditional `Maths¿ have shown a very strong basis for facing this challenge. However, these professionals have made a great effort to adapt to IT infrastructures. 3. The aim is to maintain the analytical thinking of these professionals but also to develop skills in computer engineering.

This study cycle accepts candidates who submit their application via the institutional entry admission and have obtained a positive score on one of the following sets:



Candidates can also enter the programme by changing institution/course pair, or by means of a Special Competition, in accordance with the legal rules in force (see below). in accordance with the legal rules in force (holders of higher education courses, holders of CETs, holders of CTSPs, over 23s, holders of dual certification courses). courses). Candidates who fulfil the conditions laid down in the International Student Statute may also enter.

Data Scientist Computer Scientist Business Intelligence Analyst Machine Learning & A.I. Scientist Solid background to pursue a Ph.D programme.

Assessment methodology The programme offers a strong technical introduction to the student in the areas mentioned, through methodologies: (1) Expository, (2) Experimental, (3) Active, promoting teamwork and (4) Self-Study. Teaching Model B-learning (Mixed)