Máster Big data & Analytics en Inglés
Tech & Data Management

Master in Big Data & Business Analytics in English

  • Young Professional
  • Full Time
  • 60 ECTS
  • OCT. 2024 - 10 months
  • English
Get up to 22% discount Until July 1st


This master's degree is taught in ENGLISH

Nowadays, the digitization of companies require them to deal with a huge amount of data that they need to manage and analyse effectively, all with the aim of making better decisions and growing the companies in the highly competitive environment in which they operate. Therefore, organizations increasingly demand professional profiles qualified in the fields of Data Analysis, Data Science and Big Data.

The Master in Big Data & Business Analytics of EAE Business School Madrid will give you an in-depth understanding of all the technological tools and elements related to Big Data, enabling you to manage large amounts of data efficiently and, therefore, make optimal strategic decisions.

Moreover, this Master will help you develop and enhance your professional profile, thereby enabling you to set yourself apart in the current landscape, with an innovative profile that is in high demand.


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

Reasons to take this master

at EAE Business School
  1. 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.
  2. Specialist Software: You will have access to free licences and Data Warehousing, Analytics and Machine Learning tools and technologies, with the opportunity to use software such as Microsoft and Qlik tools, and languages including SQL and Python.
  3. Business Networking: This Master gives you the opportunity to expand your network of professional contacts, through meetings with executives from leading companies in the sector, such as Cabify and SAP, to name just a couple.
  4. Expert faculty: Our lecturers know the reality of the business world as they are executives and professionals working in the field, Moreover, they share key insights through their research and publications.
  5. Theory put into practice: By studying real cases and putting your knowledge into practice, you will develop your critical thinking and decision-making capacity in order to resolve problems.
  6. True Potential Experience: Enjoy an experience that combines the Master in Big Data & Business Analytics in English with a Personalized Professional Development Plan, guided by a True Potential Advisor, who will help you find, focus and develop your true potential.
Master in Big Data & Analytics in Spain

QS Masters Ranking 2021/22

Top 14
Business schools in the world/Europe

El Economista Ranking 2022

Master in Big Data & Analytics in Europe

Eduniversal Best Masters Ranking 2021/22

Student Profile
International participants
3 years
Average professional experience



  • 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)

  • 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

  • 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

  • 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 - 6 ECTS

  • Final Master's Thesis - 12 ECTS


Minors are elective courses that enable you to personalize your Master and build a study program tht has the scope for new disciplines aligned with your profesional interest and goals. They act as real communication links that enable you to explore other areas of knowledge and connect them to yours. Minors multiply your opportunities for networking and expand your professional horizons. The range of Minors on offer varies depending on the intake and campus.

Choose between:

  • Application of AI in Business
  • Stategy and Data Analytics
  • Fintech: Technology for Finance
  • Marketing automation and marketing intelligence
  • Neuromarketing
  • Digital Marketing
  • Sales management Innovation
  • Sustainability: Strategies and Opportunities
  • Scalling Up: Strategies for business growth management
  • Project management techniques
  • Corporate Wellbeing: Leading Wellbeing Strategies
  • Business Agility
  • Leadership: Team development techniques


Explore new areas of knowledge and boost your employability by acquiring the competencies in the highest demand.

3 Territories to conquer

1. Technological and business innovation

You will learn to apply Big Data to the reality of the business world.

2. Business Intelligence based on Data Analytics

You will develop the technological and management competencies required to lead teams and projects in the field of Data Analytics.

3. Big Data Tools 

You will gain an in-depth understanding of key tools used for data analysis in the modern business world.


José Luis Martínez

José Luis Martínez

Co-Founder, Business Developer and Business Consultant at Ensaco Eficiencia Energética S.L. Engineering Diploma from Arts et Métiers ParisTech, Master in Logistics and Master in Industrial Organization Engineering.


César del Olmo Arribas

National Head of Business Development for Smart Cities and Outsourcing at Telefónica, a company he has been linked to for 27 years in various roles of responsibility. PhD in Marketing from the Universidad Complutense. Telecommunications Engineering Diploma from the Universidad Politécnica de Madrid.


Paola Cortés Díaz

Lawyer. Master in Law from IE. Advisor in International Relations and Government at Industria y Comunicacion S.A.


Carlos Enrique Viveros Pineda

He has worked as a System Analyst at Savia Salud Eps. Master in Big Data and Analytics from EAE Business School. Health Information System Management, Computer Programming, specific software from the Universidad de Antioquia.


Pilar Lacasa

Emeritus Professor of Audiovisual Communication. Universidad de Alcalá.


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.

Professional prospects and entry profile

  • What you study here and now will have an impact on your career tomorrow. Start imagining your future and take a look at some of the professional prospects that await you. 

    • Chief Data Officer (CDO)
    • Chief Technology Officer (CTO)
    • Big Data Consultant
    • Business Intelligence & Data Analytics
    • Project Management for BI Projects
    • Digital Transformation Manager
    • To access the Master in Big Data & Business Analytics, candidates must 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 leadership, decision-making, and managerial responsibilities throughout 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.