Master in Big Data & Analytics

Master in Big Data & Analytics

Mejora tu formación con el curso: Master in Big Data & Analytics

Curso impartido por:

Cursos de EAE Business School
  • Matrícula abierta
  • 60 ECTS. 10 meses
  • Presencial
  • Master
  • España
  • Todas
  • Español

Dirigido a: The Master in Big Data & Analytics in Barcelona offers professionals a complete training for the development of the skills that are most highly in demand in the market. We achieve this through a strategic design of the programme, which is divided into three different blocks

Requisitos: Expert and personalised advice on the most highly demanded profiles in the marketplace. We guide you professionally based on your profile and goals in order to help you choose the path with the greatest professional impact.

Para qué te prepara: · Fundamental languages such as Applied Statistics with R, Python and SQL
· Big Data infrastructures and methodologies, and an exploration of cloud computing models and their tools and technologies
· Data Analytics, where we will work on the most important models in the field of Data Science, exploring its tools and methodologies, from Visualisation to AI.

This is complemented with training on Business Analysis and an exploration of the legal effects of data treatment, as well as a series of first-class lectures on the current state of the data revolution.

Certificado: Double Degree: EAE and UPC

Own Continuing Education Master’s Degree in Big Data & Analytics (Business Intelligence) from EAE Business School and own Continuing Education Master's Degree in Business Intelligence and Technological Innovation from the Universitat Politècnica de Catalunya (UPC).

Contenido del curso Master in Big Data & Analytics



Big Data & Analytics from a Business and Industry Perspective - 2 ECTS


Socioeconomic context of Big Data

Business strategy based on Big Data

Infrastructures and components of Big Data in the company

From Big Data of Business Analytics

Technology map of Big Data systems

Business Performance Analysis - 4 ECTS


The company, business and indicators

Descriptive analytics

Predictive analytics

Prescriptive analytics

Smart companies

Digital Transformation - 4 ECTS


VUCA environments

Digital ecosystem

Technological portfolio management

Leading the digital revolution


Customer Analytics - 3 ECTS


Data Strategy

Google Analytics

Data Analysis







Data Management - 6 ECTS



Types of data structure

Server Integration Services (SQL)

Data Warehousing

Open Data Store (ODS)



Data Visualization - 4 ECTS


Geolocated data

Static and dynamic data visualizations

Simple dashboards

R and Python programming





Big Data Technologies & Architecture - 8 ECTS


Distributed computing

Basic architecture of a Big Data system

Data warehousing and management

Batch processing and streaming




Data Science & Advanced Analytics - 8 ECTS


Data science and advanced analytics

Data exploration and descriptive statistics

Modelling algorithms

Credit scoring

R Studio





Leadership in a Digital Environment - 4 ECTS


Strategy and business leadership

Competitive strategies

Project Management



Series of Expert Conferences - 2 ECTS




IoT/Smart Cities

Cloud and Digitization



Master’s Thesis – 15 ECTS


This is far more than just a research project required to gain a Master qualification. It is the optimal time and place to combine all your academic experience, professional ambition, personal vision and creativity. It is your opportunity to put all the knowledge and skills you have acquired into practice and work towards the goals you set yourself.

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