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MBA – MASTER OF BUSINESS ADMINISTRATION + MASTER IN BIG DATA AND BUSINESS INTELLIGENCE

Duration

12 months

Credits

72 ECTS

Start date

Chosen by the student

Language

English

Price

8.400€

Price including scholarship

2.940€

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YOUR DOUBLE MASTER INCLUDES:

  • MBA – Master of Business Administration + Master in Big Data and Business Intelligence
  • Diploma of Specialization in Innovation and Project Management
  • Business Spanish Program Certificate
  • Registration in our job bank
  • Possibility of internships in companies
  • Tutorials from Monday to Sunday
  • 7” tablet as a gift

INTRODUCTION

The MBA – Master of Business Administration + Master in Big Data and Business Intelligence is an academic program that provides advanced training in business management and data analysis technologies. This master’s degree combines training in traditional business skills with specialized training in the latest trends and technologies in data analysis, such as Big Data and Business Intelligence.

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 completion of your studies, you will receive three diplomas issued by the European Business School of Barcelona, endorsed and certified by the University of Isabel I:

  • MBA – Master of Business Administration + Master in Big Data and Business Intelligence
  • Diploma of Specialization in Innovation and Project Management
  • Business Spanish Program Certificate

All our training programs come with an optional Business Spanish course, which will enable you to navigate an international work environment. If you choose not to take it, you will receive a double certificate.

WHO IS IT FOR?

The MBA – Master of Business Administration + Master in Big Data and Business Intelligence is aimed at:

  • Professionals seeking to develop leadership and business management skills, to make informed and effective strategic decisions in an increasingly competitive business environment.
  • Professionals in the field of technology and IT: This program is also aimed at IT and computer science professionals who wish to acquire skills in Big Data and Business Intelligence to enhance their technical skills and advance their careers.
  • Entrepreneurs and business leaders looking to improve their business management skills and gain knowledge on how to use Big Data and Business Intelligence to make informed decisions.
  • Marketing and sales professionals looking to better understand customer data and use it to develop effective marketing strategies.
  • College graduates seeking a career in business management, technology or data analytics.

OBJECTIVES

The curriculum of the MBA – Master of Business Administration + Master in Big Data and Business Intelligence aims to provide students with the following knowledge and skills:

  • Acquire advanced knowledge in areas such as finance, marketing, human resources, and business strategy.
  • Develop skills in business management and data analysis technologies, such as Big Data and Business Intelligence.
  • Know the main concepts and tools of data analysis and their application in business management.
  • Learn how to manage and optimize the use of data to improve the efficiency and competitiveness of companies.
  • Acquire an international business perspective and develop intercultural skills.
  • Learn to make strategic business decisions and solve complex problems in the business sector.
  • Develop skills in managing risks associated with data analysis and privacy.
  • Know and apply the latest trends in data analysis technology and Business Intelligence.
  • Learn to manage and lead teams in the business and data analysis sector.
  • Prepare to lead in the business and data analytics sector and in the global economy. Practically apply various analytical techniques to implement them in a business to meet current demand in the business sector.

CAREER OPPORTUNITIES

  • Data Analytics Manager: An MBA with a specialization in Big Data and Business Intelligence provides advanced skills in business data management and analytics, which can be valuable for companies looking to better understand their operations and improve their decision-making. A data analytics manager may be responsible for leading the team that uses advanced data analysis techniques to identify patterns and trends and provide recommendations to improve business efficiency, profitability, and performance.
  • Business Consultant: An MBA with a specialization in business administration and management provides strong skills and knowledge in business strategy, finance, marketing, human resources, and operations. A business consultant can help companies develop effective business strategies, improve their operational efficiency, implement new technologies, and optimize their human resource management. Specialization in Big Data and Business Intelligence can be especially valuable for business consultants working on enterprise data analytics projects.
  • Business Data Analyst: An MBA with a specialization in Big Data and Business Intelligence provides advanced skills in business data management and analysis, which can be valuable for companies seeking to better understand their operations and improve their decision-making. A business data analyst can be responsible for collecting, analyzing, and visualizing data to help companies identify patterns and trends, improve operational efficiency, and make informed decisions.

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 MBA – Master of Business Administration + Master in Big Data and Business Intelligence is made up of the following syllabus:

SECTION 1: MARKETING

  • Topic 1. New role of the consumer
  • Topic 2. The brand
  • Topic 3. The ideal customer
  • Topic 4. The customer journey
  • Topic 5. Types of marketing

SECTION 2: 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 3: 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

SECTION 4: 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 5: 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 6: PROJECT MANAGEMENT

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

SECTION 7: 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 8: STRATEGIC PEOPLE MANAGEMENT

  • Topic 1. Strategic management in human resources
  • Topic 2. Strategic communication
  • Topic 3. Organizational culture
  • Topic 4. Business ethics
  • Topic 5. Labor flexibility

SECTION 9: ACCOUNTING MANAGEMENT

  • Topic 1. The Balance Sheet
  • Topic 2. The profit and loss statement
  • Topic 3. Cash flow statements
  • Topic 4. Journal entries
  • Topic 5. Advanced accounting
  • Topic 6. Taxes

SECTION 10: MANAGEMENT ACCOUNTING

  • Topic 1. Cost accounting
  • Topic 2. Management Accounts
  • Topic 3. Working capital
  • Topic 4. Net financial debt

SECTION 11: 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 12: 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 13: DATA MANAGEMENT

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

SECTION 14: 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 15: 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 16: 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 17: 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 18: 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

DISTANCE LEARNING 

METHODOLOGY 

In order to balance personal and professional life, the MBA + Master’s Program is offered entirely online. This way, you can access all the educational content through our Virtual Campus, which will be your main platform for learning, allowing you to study from anywhere in the world at any time. All assessments and final projects are also conducted remotely.

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 ScholarshipIntended 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.

The price of the MBA + Master’s Program is €8,400. We also offer a comprehensive scholarship program for academically excellent profiles, entrepreneurs, executives, and more. Fill out the form below, and an advisor will contact you to address all your questions and explain how to apply for one of them.

INTRODUCTION

The MBA – Master of Business Administration + Master in Big Data and Business Intelligence is an academic program that provides advanced training in business management and data analysis technologies. This master’s degree combines training in traditional business skills with specialized training in the latest trends and technologies in data analysis, such as Big Data and Business Intelligence.

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 completion of your studies, you will receive three diplomas issued by the European Business School of Barcelona, endorsed and certified by the University of Isabel I:

  • MBA – Master of Business Administration + Master in Big Data and Business Intelligence
  • Diploma of Specialization in Innovation and Project Management
  • Business Spanish Program Certificate

All our training programs come with an optional Business Spanish course, which will enable you to navigate an international work environment. If you choose not to take it, you will receive a double certificate.

WHO IS IT FOR?

The MBA – Master of Business Administration + Master in Big Data and Business Intelligence is aimed at:

  • Professionals seeking to develop leadership and business management skills, to make informed and effective strategic decisions in an increasingly competitive business environment.
  • Professionals in the field of technology and IT: This program is also aimed at IT and computer science professionals who wish to acquire skills in Big Data and Business Intelligence to enhance their technical skills and advance their careers.
  • Entrepreneurs and business leaders looking to improve their business management skills and gain knowledge on how to use Big Data and Business Intelligence to make informed decisions.
  • Marketing and sales professionals looking to better understand customer data and use it to develop effective marketing strategies.
  • College graduates seeking a career in business management, technology or data analytics.

OBJECTIVES

The curriculum of the MBA – Master of Business Administration + Master in Big Data and Business Intelligence aims to provide students with the following knowledge and skills:

  • Acquire advanced knowledge in areas such as finance, marketing, human resources, and business strategy.
  • Develop skills in business management and data analysis technologies, such as Big Data and Business Intelligence.
  • Know the main concepts and tools of data analysis and their application in business management.
  • Learn how to manage and optimize the use of data to improve the efficiency and competitiveness of companies.
  • Acquire an international business perspective and develop intercultural skills.
  • Learn to make strategic business decisions and solve complex problems in the business sector.
  • Develop skills in managing risks associated with data analysis and privacy.
  • Know and apply the latest trends in data analysis technology and Business Intelligence.
  • Learn to manage and lead teams in the business and data analysis sector.
  • Prepare to lead in the business and data analytics sector and in the global economy. Practically apply various analytical techniques to implement them in a business to meet current demand in the business sector.

CAREER OPPORTUNITIES

  • Data Analytics Manager: An MBA with a specialization in Big Data and Business Intelligence provides advanced skills in business data management and analytics, which can be valuable for companies looking to better understand their operations and improve their decision-making. A data analytics manager may be responsible for leading the team that uses advanced data analysis techniques to identify patterns and trends and provide recommendations to improve business efficiency, profitability, and performance.
  • Business Consultant: An MBA with a specialization in business administration and management provides strong skills and knowledge in business strategy, finance, marketing, human resources, and operations. A business consultant can help companies develop effective business strategies, improve their operational efficiency, implement new technologies, and optimize their human resource management. Specialization in Big Data and Business Intelligence can be especially valuable for business consultants working on enterprise data analytics projects.
  • Business Data Analyst: An MBA with a specialization in Big Data and Business Intelligence provides advanced skills in business data management and analysis, which can be valuable for companies seeking to better understand their operations and improve their decision-making. A business data analyst can be responsible for collecting, analyzing, and visualizing data to help companies identify patterns and trends, improve operational efficiency, and make informed decisions.

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 MBA – Master of Business Administration + Master in Big Data and Business Intelligence is made up of the following syllabus:

SECTION 1: MARKETING

  • Topic 1. New role of the consumer
  • Topic 2. The brand
  • Topic 3. The ideal customer
  • Topic 4. The customer journey
  • Topic 5. Types of marketing

SECTION 2: 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 3: 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

SECTION 4: 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 5: 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 6: PROJECT MANAGEMENT

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

SECTION 7: 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 8: STRATEGIC PEOPLE MANAGEMENT

  • Topic 1. Strategic management in human resources
  • Topic 2. Strategic communication
  • Topic 3. Organizational culture
  • Topic 4. Business ethics
  • Topic 5. Labor flexibility

SECTION 9: ACCOUNTING MANAGEMENT

  • Topic 1. The Balance Sheet
  • Topic 2. The profit and loss statement
  • Topic 3. Cash flow statements
  • Topic 4. Journal entries
  • Topic 5. Advanced accounting
  • Topic 6. Taxes

SECTION 10: MANAGEMENT ACCOUNTING

  • Topic 1. Cost accounting
  • Topic 2. Management Accounts
  • Topic 3. Working capital
  • Topic 4. Net financial debt

SECTION 11: 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 12: 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 13: DATA MANAGEMENT

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

SECTION 14: 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 15: 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 16: 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 17: 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 18: 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

DISTANCE LEARNING METHODOLOGY

In order to balance personal and professional life, the MBA + Master’s Program is offered entirely online. This way, you can access all the educational content through our Virtual Campus, which will be your main platform for learning, allowing you to study from anywhere in the world at any time. All assessments and final projects are also conducted remotely.

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.

The price of the MBA + Master’s Program is €8,400. We also offer a comprehensive scholarship program for academically excellent profiles, entrepreneurs, executives, and more. Fill out the form below, and an advisor will contact you to address all your questions and explain how to apply for one of them.

 

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