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The mark to enter the degree keeps its constant growth and lands at 12,364. Now the degree's entry mark is comparable to those of Medicine, Biochemistry or Global Studies.
Entry mark at 12,364 Jan 23, 2020
September 17 at 13.00 in Vèrtex, with inaugural lesson by the meteorologist and TV3's weatherman, Tomàs Molina.
Opening of the 2019/2020 Academic Year Jan 23, 2020
Àlex Ferrando has been honored with the Best Freshman Record prize of the class of 2022 at Vèrtex, Campus Nord, UPC.
Best record award - class of 2022 Jan 23, 2020

The ultimate goal of the degree is to provide education on these four pillars.

Mathematics and Statistics. For modelling complex systems and treating data in a rigorous manner.

Computation. To learn the generalities of tools used in Data Science and Machine Learning while learning to efficiently work with them.

Signal Processing. To treat information derived from images, audio, video or any digitally coded data source.

Entrepreneurship. Will be encouraged through specific courses and through the involvement in multidisciplinary projects.

Courses programmed on the degree's curriculum. Grouped by years and quarters.

Calculus	Algebra	Discrete Mathematics and Logic	Algorithmics and Programming I
Advanced Algebra and Calculus	Probability and Statistics I	Computers and Operating Systems	Algorithmics and Programming II

Probability and Statistics II	Information Theory	Signals and Systems	Databases	Algorithmics and Programming III
Mathematical Optimization	Data Analysis	Machine Learning I	Introduction to Audiovisual Processing	Parallelism and Distributed Systems

Data Visualization	Retrieval and Analysis of Data	Machine Learning II	Advanced Databases	Entrepreneurship and Innovation
Ethics	Spoken and Written Language Processing	Artificial Vision and Image Processing	Engineering Projects

Advanced Topics in Data Engineering	Optional Subject I	Optional Subject II	Optional Subject III	Optional Subject IV
Optional Subject V	Optional Subject VI	Final Thesis Project