The Master in Big Data & Analytics Full Time 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:
Professionals with 2 years of experience
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
1st Module 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 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
2nd Module 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.)
3rd Module 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 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.
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.
2 years average experience
