MASTER IN BIG DATA AND BUSINESS INTELLIGENCE

INTRODUCTION

The Master in Big Data and Business Intelligence is designed to train experts in data analysis and strategic decision making in the business environment. In this academic program, advanced knowledge is acquired in data analysis, data mining, machine learning, business intelligence, project management and leadership. In addition, technical skills such as the use of data analysis tools and programming are worked on, as well as soft skills such as communication and teamwork.

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.
• 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 is aimed at:

• Computer science and information technology professionals who wish to specialize in big data analysis and data-driven decision making.
• Business professionals who wish to improve their data-driven decision making and analysis skills.
• Engineers, mathematicians and statisticians who wish to specialize in data analysis and business decision making.
• University graduates in any discipline who wish to acquire skills in data analysis and business decision making.
• Professionals who wish to start a business in the area of Big Data and Business Intelligence.

OBJECTIVES

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

• Develop advanced skills in data analysis and data mining.
• Master the use of data analysis and programming tools.
• Learn business intelligence techniques and strategic decision making.
• Acquire leadership and project management skills.
• Develop communication and teamwork skills.
• Apply the knowledge acquired in practical cases and real projects.

CAREER OPPORTUNITIES

• Data analyst: responsible for the analysis and interpretation of large data sets to extract valuable information for the business.
• Business Intelligence Specialist: 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.
• Big Data Project Manager: in charge of planning, coordinating and supervising Big Data and Business Intelligence projects to ensure their success and fulfillment of objectives.

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 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

DISTANCE LEARNING 

METHODOLOGY  

In order to balance personal and professional life, the 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

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.