MASTER IN BIG DATA AND BUSINESS INTELLIGENCE + MASTER IN AI FOR BUSINESS

INTRODUCTION

The Master in Big Data and Business Intelligence + Master in AI for Business is designed to provide professionals with comprehensive training in data analysis, strategic decision-making, and the application of Artificial Intelligence (AI) in the business environment. Throughout the program, students will develop advanced skills in the use of data analysis tools, data mining, machine learning, business intelligence, and project leadership, while also acquiring practical skills to integrate AI solutions in key areas such as finance, marketing, human resources, and operations.

This program combines a technical and practical approach, preparing students to lead digital transformation within organizations through the use of AI and the analysis of large volumes of data. Additionally, the program focuses on both technical skills and soft skills, essential for effective communication and teamwork in the modern business context.

Choose to train at ENEB, one of the most prominent distance business schools in Europe, allowing you to train at the highest level from anywhere, with daily support from all professors and tutors.

THREE DIPLOMAS

Upon completing your studies, you will be eligible to receive a double certification awarded by the European Business School of Barcelona, endorsed and certified by Universidad Isabel I:

• Master in Big Data and Business Intelligence + Master in AI for Business
• Business Spanish Program Certificate (optional)

Additionally, you will obtain a Diploma of Specialization in Innovation and Project Management issued by the European Business School of Barcelona. This diploma certifies the acquisition of key competencies in these strategic areas, significantly enhancing your professional profile and improving your employment opportunities in today’s competitive job market.

WHO IS IT FOR?

The Master in Big Data and Business Intelligence + Master in AI for Business is aimed at:

• IT professionals and computer scientists who wish to specialize in big data analysis and data-driven decision-making.
• Business professionals who seek to enhance their skills in data analysis and strategic decision-making based on data.
• Engineers, mathematicians, and statisticians who wish to specialize in data analysis and business decision-making.
• University graduates from any discipline who wish to acquire skills in data analysis and business decision-making.
• Entrepreneurs interested in starting a business in the areas of Big Data, Business Intelligence, or in applying AI to improve business efficiency and innovation.

OBJECTIVES

The curriculum of the Master in Big Data and Business Intelligence + Master in AI for Business aims to:

• Develop advanced skills in data analysis, data mining, and machine learning.
• Master the use of data analysis and programming tools.
• Learn business intelligence techniques and strategic decision-making.
• Teach how to apply AI in the day-to-day operations of a business, improving processes and optimizing resources.
• Acquire leadership and project management skills.
• Develop communication and teamwork skills.
• Prepare students to lead digital transformation processes within their organizations.

CAREER OPPORTUNITIES

Career opportunities for graduates include:

• Applied AI Specialist: Responsible for implementing AI solutions in areas such as finance, marketing, HR, or operations.
• Data Analyst: In charge of analyzing and interpreting large datasets to extract valuable information for the business.
• Digital Transformation Consultant: Expert in guiding companies in the adoption of new technologies, including AI, to improve their competitiveness.
• E-commerce Manager: Responsible for managing and optimizing online sales platforms, using AI and data analysis to enhance user experience and sales.
• Business Intelligence Analyst: Responsible for collecting, analyzing, and presenting business data to assist in strategic decision-making.
• Big Data Architect: Responsible for designing and implementing Big Data solutions for managing and analyzing large volumes of data.
• AI and Big Data Project Leader: Responsible for planning, coordinating, and supervising AI, Big Data, and Business Intelligence projects to ensure their success and the achievement of objectives.
• Operations Director with AI: Specialist in optimizing business operations through the use of AI technologies and automation.

ADMISSION

To be eligible for any of our Master’s programs, applicants must meet the following requirements:

• Hold a degree in any field (Bachelor’s, Architecture, Higher or Technical Engineering, Licentiate, Diploma, or equivalent).
• University students currently pursuing a degree or equivalent higher education studies.
• Professionals with career prospects in their current positions.
• If you do not meet any of the above conditions, please contact the school, and the admissions department will evaluate your specific case.

SYLLABUS

The Master in Big Data and Business Intelligence + Master in AI for Business is made up of the following syllabus:

SECTION 1. STORAGE TECHNOLOGIES FOR BIG DATA

• Topic 1. Apache Hadoop
• Topic 2. The Hadoop Ecosystem
• Topic 3. Apache Spark
• Topic 4. Streaming Technologies
• Topic 5. File systems and platforms for big data in the cloud

SECTION 2. PROJECT MANAGEMENT

• Topic 1. Project management figure
• Topic 2. Team management
• Topic 3. Team management and communication
• Topic 4. Project management

SECTION 3. AGILE METHODOLOGIES

• Topic 1. Product management
• Topic 2. Lean startup
• Topic 3. Agile management

SECTION 4. ARTIFICIAL INTELLIGENCE

• Topic 1. Introduction to data analysis with Python
• Topic 2. Introduction to machine learning
• Topic 3. Supervised machine learning
• Topic 4. Unsupervised machine learning
• Topic 5. Reinforcement learning
• Topic 6. Deep Learning Fundamentals

SECTION 5. DATA MANAGEMENT

• Topic 1. Open data
• Topic 2. Data management
• Topic 3. Data privacy
• Topic 4. Data storage
• Topic 5. Strategy and data

SECTION 6. BUSINESS INTELLIGENCE

• Topic 1. Introduction to business intelligence
• Topic 2. Business intelligence systems
• Topic 3. Design of reports, dashboards and KPIs
• Topic 4. Data sources
• Topic 5. Data quality

SECTION 7. BIG DATA

• Topic 1. Introduction to big data
• Topic 2. Big data in projects
• Topic 3. Agile methodologies
• Topic 4. Artificial Intelligence
• Topic 5. Use cases in industry

SECTION 8. DATABASES

• Topic 1. Database fundamentals
• Topic 2. Database technology
• Topic 3. SQL Practice (MySQL)
• Topic 4. SQL Practice (MySQL)
• Topic 5. NoSQL practice (Hbase)
• Topic 6. Databases for networks
• Topic 7. Databases in the cloud

SECTION 9. DATA ANALYSIS AND INTERPRETATION

• Topic 1. Data representation
• Topic 2. Measurements
• Topic 3. Regression and correlation
• Topic 4. Probability
• Topic 5. Distributions
• Topic 6. Confidence intervals
• Topic 7. Introduction to Hypothesis Testing
• Topic 8. Statistics with R

SECTION 10. PYTHON, CARTO, POWER BI AND GOOGLE DATA STUDIO

• Topic 1. Interpretation of data
• Topic 2. Interactive visualization with Python
• Topic 3. Introduction to Carto
• Topic 4. Microsoft Power BI
• Topic 5. Google Data Studio

SECTION 11. AI FOR BUSINESS

• Topic 1. Introduction to AI
• Topic 2. How to Apply AI in Your Daily Life
• Topic 3. AI in the workplace
• Topic 4. AI for Finance
• Topic 5. AI for Marketing
• Topic 6. AI for Human Resources
• Topic 7. AI for Operations
• Topic 8. Case Studies
• Topic 9. Future of the AI

SECTION 12. E-COMMERCE

• Topic 1. Online sales
• Topic 2. Web store
• Topic 3. Mobile applications
• Topic 4. From interested lead to buyer
• Topic 5. Web analytics
• Topic 6. User experience
• Topic 7. Digital campaigns
• Topic 8. Mobile payment
• Topic 9. Landing page

SECTION 13. WEB POSITIONING

• Topic 1. How to attract customers
• Topic 2. SEO: Organic Optimization
• Topic 3. SEM: Payment optimization
• Topic 4. Automating sales
• Topic 5. Growth hacking
• Topic 6. Marketing automation
• Topic 7. Psychology in marketing

SECTION 14. DIGITAL TRANSFORMATION

• Topic 1. Business digitalization
• Topic 2. Artificial Intelligence (AI)
• Topic 3. The Internet of Things (IoT)
• Topic 4. Blockchain
• Topic 5. Big Data and Business Intelligence (BI)
• Topic 6. Cloud computing
• Topic 7. Industrial automation and robotics
• Topic 8. Cybersecurity

SECTION 15. MANAGEMENT SKILLS

• Topic 1. Leadership
• Topic 2. Effective communication
• Topic 3. Coaching
• Topic 4. Empowering teams
• Topic 5. Change management

SECTION 16. DECISION MAKING

• Topic 1. Problem definition
• Topic 2. Selection of criteria and techniques
• Topic 3. Development of alternatives
• Topic 4. Analysis
• Topic 5. Decision
• Topic 6. Action plan
• Topic 7. Examples of problems

SECTION 17. BUSINESS PLAN

• Topic 1. Vision, mission and values
• Topic 2. Strategic plan
• Topic 3. Business model
• Topic 4. Strategic analysis
• Topic 5. Monitoring the strategic plan

SECTION 18. OPERATIONS MANAGEMENT

• Topic 1. Business Strategy
• Topic 2. Operations Management
• Topic 3. Demand
• Topic 4. Product development
• Topic 5. Operating systems
• Topic 6. Process planning and management
• Topic 7. Operational planning
• Topic 8. The human factor in operations management

DISTANCE LEARNING 

METHODOLOGY

Once enrolled, you will be able to access the Virtual Campus with all the academic resources you need, providing continuous communication with other students and professors. You will have access to discussion forums, be able to undertake executive training in English, and connect with all your classmates through the ENEB Campus, among many other possibilities.

EVALUATION

Consistency is a key element in your study plan. Through the self-assessments provided via the Virtual Campus, you will be able to consolidate the knowledge you have acquired.

To pass all subjects, it is essential to submit a final project for each course. Once your team of tutors has evaluated you, you can see your grade on the Virtual Campus. Additionally, you will receive a detailed document via email explaining all the points of your case study.

In the evaluation, your tutors will assess the following aspects:

• Presentation of the exercise, design, visual richness, and spelling.
• Development of the work, complexity of the statement, logic, and coherence in the results obtained in the case study.
• Added value in the analysis and development of the proposed case.

It is important to remember that all self-assessments are voluntary and do not count towards the final grade for each subject.

FINANCING

We help you with financing your studies. We offer three different payment options:

Upfront payment with debit/credit card:

We will give you a 10% direct discount.

Bank transfer:

We offer you the possibility to pay in two installments.

Financed payment in 11 installments:

We finance your studies with no down payment or interest.

GRANTS AND SCHOLARSHIPS

In ENEB, we believe that education should be available to everyone. This is why we have a scholarship system for our Master and Postgraduate students. Vacancies are limited and they are granted in order of enrolment. The list of scholarships is as follows:

Direct Scholarship: Without requirements or limitations in each enrolment period. Get your Direct Scholarship now without administrative procedures.

Scholarship for Academic Excellence: Intended for those students whose academic and professional qualifications have a profile of excellence.

Entrepreneurial Talent Scholarship: Designed for all those entrepreneurs who wish to study a Master’s or Postgraduate degree in order to apply it to their professional career.

Women and Equality Scholarship: Designed for female candidates who want to grow professionally and achieve the highest level of education. In ENEB, we are committed to gender equality and we encourage woman’s integration into the workforce.

Management Scholarship: Intended for all those professionals whose roles of responsibility requires them to continually grow and evolve.

Corporate Scholarship: Intended for all those professionals who want to boost their career and opt for higher positions.

Scholarship for self-employed professionals: Intended for self-employed professional who wish to pursue a Master’s or Postgraduate degree to gain an in-depth knowledge of their sector or to acquire the necessary skills to grow their business.

SMEs Scholarship: Designed for entrepreneurs who wish to increase their knowledge to contribute to the growth of their company.

Scholarship for the unemployed: Intended for all those who wish to pursue further studies in order to re-enter the job market.

Geographical Mobility Scholarship: Intended for all applicants who wish to study from anywhere in the world and thus, acquire a global view of the business world.