Master in Big Data & Analytics
Barcelona, Spain
DURATION
12 Months
LANGUAGES
Spanish
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Oct 2025
TUITION FEES
EUR 17,900
STUDY FORMAT
On-Campus
Introduction
A unique program that gives you an in-depth insight into the valuable relationship between technology and business decision-making in organizations. 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 examine 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.
Key Points
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.
Specialist Software
You will learn to use data warehousing, visualization and machine learning technologies, as well as the SQL, Python and R languages.
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
Admissions
Curriculum
Business Transformation
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 project. 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
Business Intelligence & Data Analytics
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.)
Professional Skills
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
Master’s Thesis
15 ECTS
This is far more than just a research project required to gain a Master's 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 for yourself.
Rankings
Featured
- #2 according to QS Spain - 2021
- #3 in Spain and #20 in the world according to EDUniversal -2021
Program Outcome
The Master in Big Data & Analytics Part time will prepare you to turn new technologies into a competitive advantage for your company or project. To do this, you will enjoy a solid training in Business Intelligence, you will be in a position to make efficient decisions, and you will be able to lead Information Technology projects in any sector of the economy.
Career Opportunities
There are many professional paths you can choose and we’ll be there, right next to you, no matter which one you choose.
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.
55% of Our Students find Opportunities Before Graduation and 45% After
- Chief Data Officer (CDO)
- Chief Technology Officer (CTO)
- Project Management for BI Projects
- Big Data Consultant
- Business Intelligence & Data Analytics
- Digital Transformation Manager
English Language Requirements
Certify your English proficiency with PTE. The faster, fairer, simpler English test, accepted by thousands of universities around the world. PTE, Do it worry-free!
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.