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MASTER IN BIG DATA AND BUSINESS INTELLIGENCE + MASTER IN DIGITAL BUSINESS

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:

  • Master in Big Data and Business Intelligence + Master in Digital Business
  • 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 Master in Big Data and Business Intelligence + Master in Digital Business is a training program that offers a unique combination of knowledge in two areas of great relevance for modern business management: data analysis and digital transformation. This program is designed to provide students with a deep understanding of the technologies and tools necessary for the effective management of large amounts of data, as well as the skills needed to lead digital transformation projects in any company.

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:

  • Master in Big Data and Business Intelligence + Master in Digital Business
  • 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 Master in Big Data and Business Intelligence + Master in Digital Business is aimed at:

  • University graduates with experience in the area of business management who wish to develop skills in data analysis and digital transformation.
  • Business professionals who wish to improve their ability to make informed decisions through data analysis and the application of digital technologies.
  • Business managers and directors who wish to lead digital transformation projects and improve the management of large amounts of data in their company.
  • IT professionals interested in developing skills in data analytics and digital transformation to apply in their work.
  • Entrepreneurs who wish to develop skills in data analytics and digital transformation to apply in the management of their own business.

OBJECTIVES

The curriculum of the Master in Big Data and Business Intelligence + Master in Digital Business aims to equip students with the following knowledge and skills:

  • Provide students with a deep understanding of data analytics and digital transformation technologies and tools.
  • Develop skills in the application of data analytics techniques for informed decision making.
  • Provide students with skills to lead digital transformation projects in any enterprise.
  • Foster critical and creative thinking to address complex business management problems.
  • Develop communication and leadership skills to work in teams and lead digital transformation projects.
  • Encourage the development of an international and multicultural perspective.
  • Provide students with skills to manage large amounts of data in any type of company.
  • Develop skills in the application of artificial intelligence and machine learning techniques.
  • Provide students with a deep understanding of the ethical and legal implications of managing large amounts of data.
  • Prepare students for future trends in business management.

CAREER OPPORTUNITIES

Career opportunities for graduates include:

  • Data analyst: In charge of collecting, processing and analyzing large amounts of data to extract relevant information for the company.
  • Digital transformation manager: In charge of leading digital transformation projects in the company and developing and implementing digital strategies.
  • Digital business consultant: In charge of advising companies on digital strategies, implementation of digital technologies and data analysis.

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 Digital Business is made up of the following syllabus:

SECTION 1: 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 2: 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 3: DATA MANAGEMENT

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

SECTION 4: 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 5: 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 6: 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 7: 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 8: 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 9: PROJECT MANAGEMENT

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

SECTION 10: AGILE METHODOLOGIES

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

SECTION 11: 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 12: MARKETING ANALYTICS

  • Topic 1. How to optimize your website
  • Topic 2. Web traffic management
  • Topic 3. Affiliate marketing and its measurement
  • Topic 4. Google Data Studio

SECTION 13: 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 14: DIGITAL BUSINESS

  • Topic 1. E-commerce and its operations
  • Topic 2. e-procurement: e-procurement
  • Topic 3. Operational management of e-commerce: e-fulfillment
  • Topic 4. Marketplaces
  • Topic 5. The last mile
  • Topic 6. Exponential structures
  • Topic 7. Digital business

SECTION 15: 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 16: FINTECH AND BLOCKCHAIN

  • Topic 1. Introduction to the digital transformation of the financial system
  • Topic 2. Technology applied to fintech
  • Topic 3. Blockchain
  • Topic 4. Crypto
  • Topic 5. Business models
  • Topic 6. Startup
  • Topic 7. Financial regulation

DISTANCE LEARNING 

METHODOLOGY

In order to balance personal and professional life, the Double 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 Double 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 Master in Big Data and Business Intelligence + Master in Digital Business is a training program that offers a unique combination of knowledge in two areas of great relevance for modern business management: data analysis and digital transformation. This program is designed to provide students with a deep understanding of the technologies and tools necessary for the effective management of large amounts of data, as well as the skills needed to lead digital transformation projects in any company.

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:

  • Master in Big Data and Business Intelligence + Master in Digital Business
  • 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 Master in Big Data and Business Intelligence + Master in Digital Business is aimed at:

  • University graduates with experience in the area of business management who wish to develop skills in data analysis and digital transformation.
  • Business professionals who wish to improve their ability to make informed decisions through data analysis and the application of digital technologies.
  • Business managers and directors who wish to lead digital transformation projects and improve the management of large amounts of data in their company.
  • IT professionals interested in developing skills in data analytics and digital transformation to apply in their work.
  • Entrepreneurs who wish to develop skills in data analytics and digital transformation to apply in the management of their own business.

OBJECTIVES

The curriculum of the Master in Big Data and Business Intelligence + Master in Digital Business aims to equip students with the following knowledge and skills:

  • Provide students with a deep understanding of data analytics and digital transformation technologies and tools.
  • Develop skills in the application of data analytics techniques for informed decision making.
  • Provide students with skills to lead digital transformation projects in any enterprise.
  • Foster critical and creative thinking to address complex business management problems.
  • Develop communication and leadership skills to work in teams and lead digital transformation projects.
  • Encourage the development of an international and multicultural perspective.
  • Provide students with skills to manage large amounts of data in any type of company.
  • Develop skills in the application of artificial intelligence and machine learning techniques.
  • Provide students with a deep understanding of the ethical and legal implications of managing large amounts of data.
  • Prepare students for future trends in business management.

CAREER OPPORTUNITIES

Career opportunities for graduates include:

  • Data analyst: In charge of collecting, processing and analyzing large amounts of data to extract relevant information for the company.
  • Digital transformation manager: In charge of leading digital transformation projects in the company and developing and implementing digital strategies.
  • Digital business consultant: In charge of advising companies on digital strategies, implementation of digital technologies and data analysis.

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 Digital Business is made up of the following syllabus:

SECTION 1: 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 2: 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 3: DATA MANAGEMENT

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

SECTION 4: 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 5: 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 6: 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 7: 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 8: 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 9: PROJECT MANAGEMENT

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

SECTION 10: AGILE METHODOLOGIES

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

SECTION 11: 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 12: MARKETING ANALYTICS

  • Topic 1. How to optimize your website
  • Topic 2. Web traffic management
  • Topic 3. Affiliate marketing and its measurement
  • Topic 4. Google Data Studio

SECTION 13: 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 14: DIGITAL BUSINESS

  • Topic 1. E-commerce and its operations
  • Topic 2. e-procurement: e-procurement
  • Topic 3. Operational management of e-commerce: e-fulfillment
  • Topic 4. Marketplaces
  • Topic 5. The last mile
  • Topic 6. Exponential structures
  • Topic 7. Digital business

SECTION 15: 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 16: FINTECH AND BLOCKCHAIN

  • Topic 1. Introduction to the digital transformation of the financial system
  • Topic 2. Technology applied to fintech
  • Topic 3. Blockchain
  • Topic 4. Crypto
  • Topic 5. Business models
  • Topic 6. Startup
  • Topic 7. Financial regulation

DISTANCE LEARNING METHODOLOGY

In order to balance personal and professional life, the Double 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 Double 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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