Máster Big Data & Business Analytics
Tech & Data Management

Master in Big Data & Business Analytics

  • Young Professional
  • Full Time
  • 60 ECTS
  • APR. 2024 - 10 months
  • Spanish
Get up to 17% discount Until May 6th

Presentation

This master's degree is taught in SPANISH

Regardless of the size, sector or location of the company in question, Big Data is now an essential field of knowledge underpinning the decision-making process for any company operating in the current business landscape: highly competitive, globalized and very technologically sophisticated. As a result, jobs related to data analysis, data science and big data are in the greatest demand and command the highest salaries.

The Master in Big Data & Business Analytics is designed with the optimal combination of the development of technical and technological competencies and the analytical, management and leadership skills required by a business in order to drive forward its transformation and innovation project. All this with the assurance that comes from the reputation and experience of a business school like EAE Madrid.

The Master has been strategically designed to cover five key aspects:

  • Hard Skills: Data Science, Big Data and Visualization
  • Soft Skills: Digital Leadership
  • Business Intelligence: Industry/Company Perspective
  • Data Structure and Mining
  • Technology Innovation

 

MASTER´S DEGREE

Upon successful completion of your programme, you will be awarded the Master in Big Data & Business Analytics by EAE Business School Madrid.

Enroll now and start enjoying your career boosting plan.*

From the moment of your enrollment we will start working together in the materialization of your professional project through a personalized development plan. Are you going to miss it? Request information and we will explain it to you.

*This service applies only to on-site programs.

Reason to take the Master in Big Data & Business Analytics

in EAE Business School Madrid
  1. All-in-One Profile: You will gain a global overview of technologies applied to business, thanks to your sound technical knowledge of big data, data science, cloud computing, visual analytics and business intelligence, as well as developing key executive skills such as innovation, digital leadership, agile environments and sustainability.
  2. Specialist Software: You will learn to use the most important tools and programming languages associated to Data Science in the highest demand from companies, including Python, R applied to statistical analysis, Power BI, Tableau and AWS, among others.
  3. Agile Methodologies: The new digital environments require a different approach to data-based project management, which requires the use of agile methodologies such as Design Thinking, Scrum and Kanban. EAE Madrid’s Master in Big Data & Business Analytics prepares you for this.
  4. Syllabus Connected with the Professional Sphere: A committee of top executives from leading companies has worked with EAE Madrid to develop the syllabus of this program, including professionals from companies such as PepsiCo, Nike, DHL, Danone, Accenture, Fujitsu, Grupo Planeta and Mango. 
  5. In-house Business Incubator: Through our own business incubator, EAE Lab, you will have access to the learning resources, financing and guidance required to transform promising ideas into real business ventures.
  6. True Potential Experience: Benefit from an experience that combines the Master in Big Data & Business Analytics with a personalized professional development plan, with the guidance of your True Potential Advisor, who will help you tap into, focus and develop your full potential.
2nd
Master in Big Data & Analytics in Spain

QS Masters Ranking 2021/22

Top 14
Business schools in the world/Europe

El Economista Ranking 2022

20th
Master in Big Data & Analytics in Europe

Eduniversal Best Masters Ranking 2021/22

Student Profile
59%
International participants
3 years
Average professional experience
70%
Men
30%
Women

Syllabus

MODULE 1

  • Foundations of Big Data - 6 ECTS
    • Intro to big data
    • Data structures
    • Storage systems
    • Technological solutions
  • Data Processing - 6 ECTS
    • Introduction to cloud technologies and services in big data: infrastructures, types, development and deployment of applications
    • Development of scalable applications
    • Big Data processing types to model business logic
  • Cloud Computing - 6 ECTS
    • Infrastructure virtualization: Local infrastructure vs Cloud, Infrastructure as a Service (IaaS), Public Cloud vs Private Cloud, Platform as a Service (PaaS)
MODULE 2

  • Statistics and data mining - 6 ECTS
    • Description and modeling of complex data
    • Regression
    • Bayesian learning
    • Probabilistic graphical models
    • Probability density
    • Time series
    • Optimization
    • Data mining
  • Data visualization - 6 ECTS
    • Data visualization: theoretical concepts, tools, types of visualization according to analysis needs, dashboards, layout and result export
MODULE 3

  • Business intelligence and digital transformation - 6 ECTS
    • Analysis of new business environments
    • Business Intelligence: conceptualization, scope, design, indicators, methodology, systems, architecture and components
    • ETL tools and techniques
    • Data warehouses
    • Reporting with Business Intelligence
    • Executive Information Systems (EIS) and Decision Support Systems (DSS)
    • Enterprise Project Management
  • Data science and decision-making - 6 ECTS
    • Competitive environment and competitive intelligence
    • Indicators, reports and scorecards
    • Balanced Scorecard
    • Strategy maps
    • Financial analysis with big data
    • Customer-centric strategy: CRM and business performance measurement systems: BPM
MODULE 4

  • Innovation, digital leadership, agile environments and sustainability - 6 ECTS
    • Innovation: what it is, how it is generated (learning organizations), how it is managed
    • Agile methodologies
    • Scrum
    • Design thinking
    • High performance teams
    • Digital and agile leadership
    • New agile, digital and sustainable business models

  • Choose the course that you want to take and which will expand your range of future professional prospects - 10 ECTS

  • Final Master's Thesis - 12 ECTS

Minors

Your competitive edge

At EAE Business School Madrid, as a school committed to innovation and transformation, we have created an optional specialization program that you can take at the end of your Master.

This educational model gives you the opportunity to acquire new skills and an individualized qualification to set yourself apart in the labour market by enhancing your professional profile.

You will have the option to choose the Minor that best suits your needs.

3 territories to conquer

1. Technology applied to business

You will acquire a multidisciplinary profile that will enable you to develop analytical capacities and make data-based business decisions.

2. Data as a pillar 

You will develop technological and management competencies based on big data, data science, cloud computing, visual analytics and business intelligence.

3. Big Data Tools 

You will gain a command of the key data analysis and visualization tools that companies use nowadays.

Faculty

Miguel Sempere

Miguel Sempere Navarro

Senior Specialist in Digitalization, Process Mining, Process Analytics & Modelling at BASF. Industrial Engineering Diploma from IPV, and Master in Data Science from CUNEF.

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Fernando Esteve

Researcher in the Digital Transformation of Public Administrations @SGAD of the Ministry of Economic Affairs and Digital Transformation. Member of CIONET. Independent consultant. Telecommunications Engineering Diploma from the Universidad Alfonso X el Sabio. Executive MBA from IE.

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Manuel León Navarro

PhD in Quantitative Economics from the Universidad Complutense. Bachelor Degree in Economics from the Universidad Complutense.

Julio Mateo Pascual

Julio Mateu Pascual

Vice President of Operational Excellence Analytics. He has also held the position of Product Manager at Telefónica and has worked in other companies such as Altran or Vodafone. He has a Bachelor Degree in Computer Engineering from the Universidad Politécnica de Madrid and an EMBA from IE.

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Pilar Lacasa

Emeritus Professor of Audiovisual Communication. Universidad de Alcalá.

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Eduardo Vicente Menéndez

Sales Engineer and Customer Success Manager at Lang.ai and Co-founder of Negociacar. Telecommunications Engineering Diploma from the Universidad Autónoma de Madrid.

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José Ramón Vallejo

Bachelor Degree in Physics from the Universidad Complutense de Madrid. Bachelor Degree in Economics from the UNED. He has held various positions of responsibility at Telefónica, including Commercial Tracking Manager and Commercial Settlements Manager.

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Santiago García Mesa

Computer Engineer.

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Gabriel Marín Díaz

PhD in Data Analysis, Universidad Complutense de Madrid. Bachelor Degree in Physics from the Universidad Complutense de Madrid.

Access and professional prospects

  • The knowledge and skills you acquire here and now will have a real impact on your professional life. 

    Start imagining this bright future and take a look at some of the professional opportunities that await you:

    • Chief Data Officer (CDO)
    • Chief Technology Officer (CTO)
    • IT Business Partner 
    • Big Data Consultant 
    • Business Intelligence & Data Analytics
    • Analytics Consultant 
    • Business Analyst 
    • Project Management for BI Projects 
    • Data Architect 
    • Data Scientist 
    • Digital Transformation Manager
    • For access to the Master in Big Data & Business Analytics, candidates will be in at least one of the following circumstances:

      •  Being in possession of an undergraduate degree or an engineering, bachelor's degree, architecture, diploma or technical engineering and architecture from the previous study arrangement.
      •  Be in possession of a Bachelor's Degree, Diploma or Degree.
      •  Demonstrable experience of more than three years in the information technology sector: Prospective students must have practical work experience in the information technology sector for a minimum of three years. This experience should reflect your involvement in IT-related activities, projects, or functions that contribute to your understanding of the field.
      • Have held a middle management and/or executive position in a company for more than three years: Candidates must have held a middle or higher management position in a company for a minimum of three years. This requirement underscores the need for candidates to have demonstrated decision-making and managerial responsibilities during their professional career.

      These requirements are intended to ensure that applicants have a solid foundation in the information technology industry and/or possess significant management experience. The combination of practical IT knowledge and leadership experience enhances the academic program by fostering a diverse and experienced group of students who can bring valuable ideas and perspectives to the learning environment.

EAE MADRID CENTRO EDUCACIÓN SUPERIOR, S.L.U., will process your personal information to contact you and to inform you about the program of your choice for the upcoming two terms. Afterwards, your data will be deleted.

You may exercise the rights of access, deletion, rectification, opposition, limitation and portability, by post to EAE MADRID CENTRO EDUCACIÓN SUPERIOR, S.L.U., Post office box 221 of Barcelona, or by email to [email protected]. Likewise, if the interested party considers it appropriate, they can lodge a claim to the Spanish Data Protection Agency.

Moreover, you can contact our Data Protection Manager by email to [email protected], or by post to Grupo Planeta, At.: Data Protection Manager, AVENIDA DIAGONAL, 662-664.