Data Science Universitat Autònoma de Barcelona

Overview

The Universitat Autònoma de Barcelona Master’s Program in Data Science Methodology aims to train future leaders in the field with a deeper understanding of the underlying methods, along with the ability to develop techniques for new and/or non-standard problems.

The Master’s prepares graduates to design and build data-driven systems in the private, public and research sectors. The curriculum guides students from modeling and theory to computational practice and cutting edge tools, teaching skills that are in growing global demand.

Data Science Methodology students will gain a solid knowledge of Statistics, Machine Learning theory and methods such as Reinforcement Learning and Deep Learning, Optimization and Computing. The program also prepares students to critically assess the validity and performance of existing methods, and to address potential limitations by developing new ones.This is designed to provide students with a key competitive advantage relative to the semi-automated application of data analysis methods. Students will learn how to apply classroom examples using real data and answering concrete questions from the perspectives of different sectors. Through an independent master’s project or an industrial practicum conducted with local businesses or research teams, students have the opportunity to solve actual analytics problems hands-on.

Is “Data Science Methodology” the right program for you?

Universitat Autònoma de Barcelona welcomes students from different disciplines. The ideal candidates have graduated in programs with a solid mathematical basis, e.g. statistics, economics, mathematics, computer science, physics, or engineering. However, we also welcome candidates from other disciplines having excellent academic records, who wish to develop their data analysis abilities.

Universitat Autònoma de Barcelona's distinguishing feature is a focus on going beyond the application of data science methods (which is also an important component of the program), to actually provide students with a deeper understanding of their inner workings. The goal is that students learn the skills necessary to develop their own solutions for new problems, as is necessary in a constantly developing work and research environment. The program includes brushup courses in Statistics, Linear Algebra and Programming, to ensure all students have a sufficient technical background.