Fundamental Principles of Data Science
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Many aspects of our personal and professional, from online shopping to research or finance, produce great volumes of data. Without control nor interpretation data is just noise. Data science is a new professional area that pretends to give value to data through actionable analysis and interpretation. The data scientist skills lie in the intersection of mathematics and computer science. The Master in Foundations of Data Science gives the algorithmic and mathematical basis needed for the correct modeling and analysis of data by means of practical oriented sessions, as well as the professional skills for confronting data based projects. It emphasizes the skills related to the understanding of the foundations of the algorithms behind data science and to the skill of modifying and creating new specific algorithms tailored to the data project needs. The master includes topics ranging from numerical linear algebra, optimization, or probabilistic programing, to machine learning, deep learning, complex networks, and recommender techniques; and their application to natural language processing, temporal series or information extraction from images, using technologies capable of storing and processing large volumes of data, “big data”.
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Admissions Requirements
Applicants should have a bachelor degree with a major in Computer Science, Mathematics, Physics, Statistics or an equivalent.Applicants from non-anglophone countries should provide proof of English proficiency.Application deadline for non EU students is June 15.
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Barcelona
Spain
8007
Spain
- 1 year
- Full Time
- On Campus Learning
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