Master in Big Data & Analytics
- Multiple Modalities
- Intake 2025
- Spanish & English
Master in Big Data & Analytics
A unique programs that gives you an in-depth insight into the valuable relationship between technology and business decision-making in organizations. Because EAE Barcelona’s Master in Big Data & Analytics is designed with precisely this goal: to empower professionals who want to develop both their technical and business profiles at the same time.
Our learning by doing methodology will enable you to discover the key programming languages, such as Python, R and SQL, and other specialist data architecture technologies, as well as examining specific business cases of companies that have used data analytics to become market leaders.
The Master is strategically designed in three blocks:
- Fundamental languages;
- Big Data infrastructures and methodologies;
- Data analytics, with the aim of integrating the most advanced technological knowledge and team leadership based on information to become an all-terrain professional.
Study Programme
Data Governance & Data Strategy - 5 ECTS
- Data Analytics and specializations (Business Intelligence, Big Data and Data Science)
- Prioritizing business needs in technological decisions
- Data organization, management and governance
- Strategic elements of a Data-Driven organization
- Key factors in successful data lifecycle management
Business Analytics - 5 ECTS
- Key management indicators: metrics, objectives, benchmarks and action plans
- Demand and sustainable solutions
- Data Analytics Business Case Study: Justifying investment in a projects. Convincing a CEO. Why invest in Data Analytics?
- Key management indicators: different areas
- Self-service vs. Pre-defined reporting: Applying security. What challenges, impacts and costs are involved?
Digital Transformation & Challenges of Cybersecurity and Cyberlaw - 5 ECTS
- Technological innovation and Digital Transformation
- Corporate innovation and key concepts: Open innovation and exploration vs. exploitation
- Design and application of the Security Master Plan
- GDPR: personal data protection as an inspirational figure in Data Analytics business models
- Organizational models: Data Compliance models and structures
Data Management for BI - 5 ECTS
- Business Intelligence integration
- Functional processes and ETL technicians
- Data Warehousing models and cases of use
- The importance of data and how it facilitates decision-making
- Hybrid Data Warehousing and Data Lakes
Data Visualization - 5 ECTS
- Data Visualization and the technologies involved
- Data structures and models for visualization
- Dashboard design and development
- Project development on PowerBI
- Applications and examples of Data Visualization
Introduction to programming languages for Data - 5 ECTS
- Basic programming concepts
- Introduction to Python
- Introduction to SQL
- Introduction to R
Big Data - 5 ECTS
- Foundations and technologies of Big Data
- Implementation of scalable architectures
- Python applied to Big Data
- Introduction to Spark
- Cases of use and the different architectures involved
Data Science - 5 ECTS
- Artificial Intelligence and its applications
- Characteristics of Supervised and Unsupervised Machine Learning
- Interpretability of the resulting models
- AI tools
- Most innovative AI techniques for high-level understanding (Deep Learning, model explainability, etc.)
Digital Leadership & Data Talent - 5 ECTS
- Innovation process, methods and techniques
- Design Thinking process, methods and techniques
- Agile mindset and methodologies
- Effective communication methods and techniques
- Strategies for incorporating, developing and retaining people and their capacities in order to transform into a Data-Driven organization
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.
Degree and Modality
Master's Degree in Continuous Learning in Big Data & Analytics
Full Time 60 ECTS
English
You will obtain two Degrees: EAE y UdL
EAE Business School’s Specific Master's Degree in Continuous Learning in Big Data & Analytics and Universitat de Lleida's (UdL) Specific Master's Degree in Continuous Learning in Big Data & Analytics.
Master's Director
Gustavo Ramírez. Service Delivery Manager for the BI platform of the European Commission. Previously, he was Director at Inorbis Analytics and Executive Manager at SDG Group. With over 12 years of experience managing national and international projects, primarily in consulting specialized in Data Analytics & Big Data. He holds an Industrial Engineering degree from ITESM, a Master's in Supply Chain Management and Technology from La Salle BES, a Master's in Financial Management from EAE, and SAP R/3 certification.
Key Points
1. Dual Business & Tech vision
You will gain a dual strategic vision of technology and business, learning to make decisions based on technology, methodologies and business needs.
2. Specialist software
You will learn to use data warehousing, visualization and machine learning technologies, as well as the SQL, Python and R languages.
3. Visión 360º
You will gain expertise in the architecture and life cycle of data within the Data Analytics department, as well as the different tools and trends in the sector
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#3 Spain
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#3 Spain & #26 Europe
Admission
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.
WE’LL ATTEND TO ANY INQUIRY YOU MAY HAVE DURING THE 6 STEPS OF THE ADMISSION AND ADVICE PROCESS
What does the admission process for a Master involve?
Initial Information/Admission Request
Once completed, we’ll assign you one of our expert advisors that will get in touch with you.
Interview with the Admissions Department
We’ll evaluate your professional and academic profile and, together, we’ll assess your eligibility for advancing towards a Master’s level based on your professional goals.
Presentación formal de candidatura
¿Qué documentos necesito para solicitar la admisión a un máster? Deberás hacernos llegar la siguiente documentación, que analizaremos y verificaremos para redactar tu informe de Admisiones:
- CV actualizado
- Carta de motivación
- Carta de recomendación académica y/o profesional
- Certificado última titulación obtenida o en curso
- Test de admisión (en caso de requerirlo)
- Certificado idioma (en caso de requerirlo)
Comité de admisiones
Tu asesor será el encargado de defender tu candidatura ante el Comité.
Resolución del proceso
Te comunicaremos el resultado del proceso.
Reserva y asignación de plaza
Tendrás entre 3 y 5 días para realizar el abono de la inscripción.
Profile
2 years average experience
87% international participants
24 nationalities
Employment
You’ll enjoy a career plan made to suit you. Thanks to our Careers Department and EAE Entrepreneur, you will gain access to personalised support and academic training services that will multiply your professional opportunities, extending them to any country in the world.
- Chief Data Officer (CDO)
- Chief Technology Officer (CTO)
- Project Management for BI Projects
- Big Data Consultant
- Business Intelligence & Data Analytics
- Digital Transformation Manager
