Introduction

Large amounts of data are generated in many aspects of personal and professional life, from electronic purchases to research or finances. If these data are not monitored or interpreted, they have no value. Data science is a new professional area that aims to give these data meaning by analysing and interpreting them. A data scientist is a new professional profile at the intersection between maths and computer science. The master's degree in Fundamental Principles of Data Science aims to provide, through theoretical and practical training , the algorithmic and mathematical bases for correct modelling and analysis of data, and the professional competences to face data-based projects. There is a focus on competences to understand the principles of algorithms that lie behind data science. Students will develop the ability to modify algorithms and create new ones, to adapt to the specific needs of a problem. Consequently, the course includes aspects that cover a wide area: computational algebra, optimisation or probabilistic programming, automatic learning techniques and deep learning, complex networks, recommendation systems, applications to natural language processing, time series, extraction of information in images, and support for infrastructures that process big data.

Basic data
  • Number of credits:  60
  • Mode of delivery:  Presencial
  • Specializations:  No
  • Bridging courses:  Yes
  • Places offered:  30
  • Approximate price:  46,50 euros per credit ( 82 euros for students who are not EU nationals and do not currently reside in Spain). Fees for the academic year 2017-2018
  • Qualification awarded:  Fundamental Principles of Data Science
  • Faculty or school:  Faculty of Mathematics and Computer Science
  • Coordination:  JORDI VITRIA MARCA