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Master Executive en Advanced Analytics & Data Science

Master Executive en Advanced Analytics & Data Science

UIC Barcelona

Máster presencial

Barcelona


8.580

UIC Barcelona Executive Master’s Degree in Advanced Analytics & Data Science is the programme for you if you are a professional who would like to develop further in the fields of Big Data and Advanced Analytics. We will teach you to take decisions in business environments that involve a high volume of data generated at great speed, in which the extraction of knowledge is key. Based on advanced analytical techniques (predictive and prescriptive), visualisation and the design of suitable environments and architecture, we will provide you with the knowledge to tackle Big Data projects.

This Master’s degree involves theoretical and practical on-site classes to provide analytical and technological guidance in classes taught by well-known professionals from the sector, which include undertaking practical exercises in real environments. The classes are taught on-site, except the final project, and the methodology that will be used is learning by doing, in order to ensure the acquisition of competences.

At the same time real cases are studied for project-based practicums. You will undertake your Final Master’s Degree Project based on the support and supervision of a tutor/professional supervisor and you will work using the tools and datasets involved in real business situations.

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Sedes

Localización

Fecha inicio

Barcelona
Septiembre 2024

Objetivos

To understand the context of Big Data projects and the analytical transformation of organisations and sectors. To learn and extract knowledge from large volumes of data and a wide variety of sources. To learn how to use Data Analysis and incorporate it into decision-making processes. To master the full cycle of data: from acquisition and storage, process and analysis, to the visualisation and creation of dashboards. To know and practice the application of statistical methods and Machine Learning. To know and practice using the main Big Data technologies and architecture. Hadoop, Spark, MongoDB

Temario completo de este curso

ASIGNATURAS:

  • MÓDULO 1: Introducción a la Data Scienc First semester 5

  • MÓDULO 2: Lenguajes de Programación para el Data Scientist First semester 5

  • MÓDULO 3.1: Métodos Estadísticos y Data Mining First semester 5

  • MÓDULO 3.2: Métodos Estadísticos y Data Mining First semester 5

  • Final Master's Degree Project Second semester 15

  • MÓDULO 4: Machine Learning Second semester 10

  • MÓDULO 5: Tecnologías y Arquitecturas Big Data Second semester 5

  • MÓDULO 6: Técnicas de Visualización de Datos Second semester 5

  • MÓDULO 7: Proyectos en Contextos Big Data
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