Double Master in Big Data & BI + Digital Business

Master in Big Data and Business Intelligence + Master in Digital Business | ENEB Business School

• Type: Double Master
• Duration: 12 months
• Delivery Mode: 100% Online / Distance Learning
• Credits: 72 ECTS
• Language: English
• Start Date: Chosen by the student
• Regular Fee: $3,260
• Offer Price: $1157
• Yearly Fee: $1157 for the full 12-month program
• Scholarships: Available

The Master in Big Data and Business Intelligence + Master in Digital Business is a Double Master program designed for professionals who want to combine advanced data-analysis capabilities with a broad understanding of digital transformation, online business models, e-commerce, fintech, technology, and strategic decision-making.

Modern organizations generate and collect large volumes of information from customers, operations, financial systems, websites, mobile applications, supply chains, marketing platforms, transactions, and connected technologies. However, data creates value only when it is organized, interpreted, visualized, protected, and connected to clear business objectives.

This program brings together two areas that are central to modern management. The Big Data and Business Intelligence component develops knowledge of data management, dashboards, KPIs, databases, Python, Power BI, Google Data Studio, statistical analysis, machine learning, Hadoop, Spark, streaming technologies, and cloud-based storage. The Digital Business component expands this foundation through e-commerce, marketplaces, e-procurement, e-fulfillment, digital transformation, project management, agile methodologies, business planning, fintech, blockchain, and digital operations.

The combination is especially relevant because data projects do not exist separately from business strategy. A company may build a dashboard, but managers must know which KPIs matter. It may adopt a Big Data platform, but leaders must understand how the system supports customers, operations, finance, or growth. It may implement machine learning, but the organization still needs governance, project coordination, ethical awareness, data quality, and a clear business case.

Students therefore develop both analytical and managerial perspectives. They learn how data is collected, stored, processed, interpreted, and communicated. They also examine how digital businesses operate, how e-commerce processes are managed, how technology changes financial systems, and how organizations plan and execute digital transformation.

The program is suitable for learners who want to understand both the technical foundations of data and the strategic context in which analytics is used. It may support professionals who need to work across business and technology teams, communicate insights to decision-makers, lead digital initiatives, or evaluate opportunities involving data and automation.

The curriculum includes Business Intelligence systems, dashboards, reporting, databases, SQL, NoSQL, Python, statistics, machine learning, Hadoop, Spark, and cloud platforms. It also includes digital business, e-commerce, marketplaces, digital transformation, marketing analytics, fintech, blockchain, and project management.

This wider structure helps students understand how data supports multiple business areas. Marketing teams use analytics to evaluate traffic and customer behavior. E-commerce teams use data to improve conversion and user experience. Operations teams use data to forecast demand and monitor performance. Financial teams use digital technologies to support payments, risk, and compliance. Senior managers use dashboards and KPIs to guide strategic decisions.

The program is delivered entirely online through ENEB Business School’s Virtual Campus. Students can access academic resources, complete assessments, submit final projects, communicate with professors and tutors, and connect with classmates without relocating. The student selects the start date, which may make the program more accessible to working professionals and international learners.

The stated duration is 12 months, and the Double Master includes 72 ECTS credits. The language of study is English. According to the supplied program information, students also receive registration in ENEB’s job bank, the possibility of internships in companies, and tutorials from Monday to Sunday.

Choosing to study through ENEB, the European Business School of Barcelona, allows learners to follow a distance-learning model designed for professionals who want advanced education while maintaining their current careers and personal responsibilities.

This Double Master may be especially suitable for data analysts, Business Intelligence professionals, IT specialists, business managers, consultants, digital-transformation professionals, entrepreneurs, e-commerce professionals, project managers, and graduates who want to build a career at the intersection of data and digital business.

Double Certification

Upon completing the program, eligible students can receive a double certification awarded by the European Business School of Barcelona and described in the supplied information as endorsed and certified by Universidad Isabel I.

The program includes:

1. Master in Big Data and Business Intelligence + Master in Digital Business
2. Diploma of Specialization in Innovation and Project Management, issued by the European Business School of Barcelona

The principal qualification reflects advanced study in Big Data, Business Intelligence, data management, visualization, databases, analytics, machine learning, digital transformation, e-commerce, fintech, blockchain, and digital-business strategy.

The additional Diploma of Specialization in Innovation and Project Management adds further value by emphasizing two areas that are closely connected to data and digital transformation.

Innovation is important because organizations use data and technology to improve products, services, processes, customer experiences, and business models. Project management is important because data platforms, dashboard systems, AI initiatives, cloud migrations, e-commerce implementations, and digital-transformation programs all require structured planning and execution.

The combination may therefore support professionals who want to lead analytics implementation, digital-business projects, data-strategy initiatives, Business Intelligence programs, or technology-enabled transformation.

Students should confirm the current certification and issuance conditions directly with ENEB before enrolling. Recognition may vary by country, employer, university, immigration authority, or regulated profession. Anyone planning to use the qualification for a specific academic, legal, employment, immigration, or professional purpose should verify the relevant requirements independently.

Who Is It For?

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

• University graduates with business-management experience who want to develop data-analysis and digital-transformation skills.
• Business professionals who want to make better-informed decisions through analytics and digital technologies.
• Business managers and directors who want to lead digital-transformation projects.
• IT professionals who want to expand into analytics, Business Intelligence, and digital-business strategy.
• Data analysts who want broader management and digital-business knowledge.
• Business Intelligence professionals who want to strengthen strategic, project, and technology capabilities.
• Project managers who oversee data, technology, or transformation initiatives.
• Digital-transformation professionals who need stronger analytics and data-management knowledge.
• Entrepreneurs who want to use data and digital technologies to improve their businesses.
• E-commerce professionals who want to understand analytics, operations, marketplaces, and online business models.
• Consultants and advisors who help organizations with data strategy, Business Intelligence, technology, or digital transformation.
• Business analysts who want to improve technical and analytical capabilities.
• Technology graduates who want a more complete understanding of business models, strategy, and decision-making.
• Finance professionals interested in fintech, blockchain, data, and digital systems.
• Marketing analysts who want to move beyond campaign analytics into broader Business Intelligence and digital strategy.
• Operations professionals who want to use dashboards, KPIs, and data systems more effectively.
• Career changers who want to enter data analysis, Business Intelligence, digital consulting, or transformation roles.
• Professionals working in international organizations who need to communicate data insights across teams and markets.

The program is particularly relevant to people who understand that effective data management requires both technical knowledge and business context. Collecting data is not enough. Organizations need professionals who can identify useful information, maintain quality, interpret results, communicate insights, and connect analytics to strategic action.

Program Objectives

The curriculum aims to help students:

• Develop a deep understanding of data analytics.
• Understand digital-transformation technologies.
• Learn tools for managing large volumes of data.
• Apply analytics techniques to business decision-making.
• Lead digital-transformation projects.
• Develop critical and creative thinking.
• Improve communication and leadership skills.
• Work effectively in interdisciplinary teams.
• Build an international and multicultural perspective.
• Understand data management and storage.
• Develop Business Intelligence knowledge.
• Design reports, dashboards, and KPIs.
• Improve data-quality awareness.
• Learn interactive visualization with Python.
• Understand Microsoft Power BI.
• Use Google Data Studio.
• Develop database fundamentals.
• Build SQL and NoSQL awareness.
• Understand cloud-based databases.
• Develop statistical analysis knowledge.
• Learn machine-learning concepts.
• Understand supervised and unsupervised learning.
• Build awareness of reinforcement learning and deep learning.
• Understand Hadoop and Spark.
• Learn about streaming technologies.
• Develop digital-business knowledge.
• Understand e-commerce operations.
• Learn e-procurement and e-fulfillment concepts.
• Understand marketplaces and last-mile delivery.
• Develop fintech and blockchain awareness.
• Understand ethical and legal implications of data use.
• Prepare for emerging trends in business management.

By completing the program, students should be better prepared to work with data, communicate insights, manage digital initiatives, and connect analytical systems with wider business goals.

Distance Learning Methodology

The Double Master is delivered entirely online to help students balance study with professional and personal responsibilities.

All educational content is accessed through ENEB’s Virtual Campus. Students can study from different locations, organize learning according to their availability, communicate with professors, and complete assessments and final projects remotely.

After enrollment, students receive access to academic resources, discussion forums, communication channels, executive training in English, and the wider ENEB Campus community.

The online format may be particularly useful to professionals who already work in data, technology, consulting, e-commerce, management, analytics, or digital transformation. These roles may involve deadlines, reporting responsibilities, technical teams, stakeholders, and changing project priorities.

The student-selected start date provides additional flexibility. However, successful completion still requires planning, consistent study, and regular progress throughout the program.

Evaluation

Self-assessments are available through the Virtual Campus to help students consolidate their knowledge. These self-assessments are voluntary and do not count toward the final grade.

To pass all subjects, students must submit a final project for each course. Once tutors evaluate the work, the grade becomes available through the Virtual Campus. Students also receive a detailed evaluation document by email.

Tutors assess:

1. Presentation — including design, visual quality, and spelling.
2. Development — including complexity, logic, and coherence.
3. Added value — including depth and professional contribution.

This project-based approach allows students to analyze data, Business Intelligence, and digital-business situations and present structured recommendations.

Grants & Scholarships

ENEB states that scholarship places are limited and granted in order of enrollment.

Direct Scholarship

Available without requirements or administrative procedures during each enrollment period.

Academic Excellence Scholarship

Designed for students whose academic and professional qualifications demonstrate excellence.

Entrepreneurial Talent Scholarship

Intended for entrepreneurs who want to apply the program to their careers or businesses.

Women and Equality Scholarship

Designed for female candidates who want to grow professionally and achieve a higher level of education.

Management Scholarship

Intended for professionals whose responsibilities require continuous growth and development.

Corporate Scholarship

Designed for professionals who want to strengthen their careers and compete for more senior positions.

Scholarship for Self-Employed Professionals

Intended for independent professionals who want to deepen their knowledge or grow their businesses.

SMEs Scholarship

Designed for entrepreneurs who want to contribute more effectively to the growth of their companies.

Scholarship for the Unemployed

Intended for people pursuing further study to improve their ability to re-enter the employment market.

Geographical Mobility Scholarship

Designed for applicants who want to study from anywhere and develop a global view of business.

Applicants should confirm current eligibility rules, award amounts, evidence requirements, and whether scholarships can be combined with the promotional price.

Why This Program Stands Out

The Double Master combines advanced Big Data and Business Intelligence knowledge with digital-business strategy and operations.

Many data programs focus mainly on technical tools, databases, or statistics. Digital-business programs may focus on e-commerce, technology, and business models. This program connects both.

Students study Big Data, Business Intelligence, data management, Python, Power BI, databases, statistics, machine learning, Hadoop, Spark, project management, agile methodologies, business planning, marketing analytics, e-commerce, digital business, digital transformation, fintech, and blockchain.

Key features include:

• Two complementary master’s specializations
• 72 ECTS credits
• 12-month duration
• Fully online delivery
• Student-selected start date
• English-language study
• Remote assessments and final projects
• Big Data and Business Intelligence
• Dashboards, reports, and KPIs
• Python, Power BI, Carto, and Google Data Studio
• SQL, NoSQL, and cloud databases
• Statistical analysis
• Machine learning and deep learning
• Hadoop, Spark, and streaming technologies
• E-commerce and digital-business operations
• Marketplaces and last-mile delivery
• Digital transformation
• Fintech and blockchain
• Innovation and project-management specialization
• Job-bank registration
• Possibility of internships
• Tutorials from Monday to Sunday
• Scholarships and flexible payment options

The program may help data professionals develop stronger business and strategic awareness and help managers understand analytics, systems, and digital transformation. It may also support consultants and entrepreneurs who want to use data more effectively in digital-business environments.

Frequently Asked Questions

What is the Double Master in Big Data & BI + Digital Business?

It combines the Master in Big Data and Business Intelligence with the Master in Digital Business in one online program.

How long does the program take?

The stated duration is 12 months.

How many ECTS credits are included?

The program includes 72 ECTS credits.

Is the program fully online?

Yes. Learning content, assessments, final projects, and tutor communication are delivered online.

What language is used?

The stated language is English.

When can I start?

The student chooses the start date.

What is the offer price?

The regular fee is $3,260, and the offer price is $1157.

Are scholarships available?

Yes. ENEB lists several scholarship categories, subject to availability and current eligibility conditions.

Do I need a degree in data science or digital business?

No specific degree in those subjects is listed. Degree holders in any field, current university students, and eligible professionals may apply.

What qualifications can I receive?

The supplied information lists the combined Double Master qualification and a Diploma of Specialization in Innovation and Project Management.

Does the program include Business Intelligence?

Yes. It includes BI systems, reports, dashboards, KPIs, data sources, and data quality.

Does the syllabus include Power BI?

Yes. Microsoft Power BI is included.

Is Python included?

Yes. Python is included for data interpretation and interactive visualization.

Does the program include databases?

Yes. Database fundamentals, MySQL, NoSQL, network databases, and cloud databases are included.

Is statistical analysis included?

Yes. Regression, correlation, probability, confidence intervals, hypothesis testing, and statistics with R are included.

Does the program include machine learning?

Yes. Supervised, unsupervised, and reinforcement learning are included, along with deep-learning fundamentals.

Are Hadoop and Spark included?

Yes. Hadoop, the Hadoop ecosystem, Spark, streaming technologies, and cloud platforms are included.

Does the program cover digital business operations?

Yes. E-commerce operations, e-procurement, e-fulfillment, marketplaces, last-mile delivery, and digital business are included.

Is fintech and blockchain included?

Yes. Fintech, blockchain, crypto, startups, business models, and financial regulation are included.

How are students evaluated?

Students submit final projects, which are assessed for presentation, development, coherence, and added value.

Do self-assessments count toward the final grade?

No. They are voluntary and do not count toward the final grade.

Can I work while studying?

The online format is designed to support flexible study, but students must still organize their time consistently.

Is career support included?

The supplied information mentions registration in ENEB’s job bank and the possibility of internships.

What career paths may be relevant?

Relevant roles include Data Analyst, Digital Transformation Manager, Digital Business Consultant, BI Analyst, Power BI Analyst, and Data Strategy Consultant.

A Double Master for Data-Driven Digital Transformation

Organizations need professionals who understand both how data works and how digital businesses create value.

The Double Master in Big Data & BI + Digital Business brings these responsibilities together.

The data side develops knowledge of analytics, Business Intelligence, visualization, databases, statistics, machine learning, and Big Data technologies. The digital-business side develops knowledge of e-commerce, marketplaces, operations, fintech, blockchain, project management, and transformation.

For data professionals, this combination can strengthen strategic and commercial awareness. For managers, it can improve understanding of analytics and technology. For consultants and entrepreneurs, it can support more informed digital-business decisions and more effective transformation initiatives.

The program is delivered fully online, allowing students to study without relocating. Before enrolling, applicants should confirm current tuition, scholarships, required documents, certification conditions, and recognition requirements.

Request Information

Request information to confirm:

• Admission eligibility
• Required documents
• Availability of the $1157 offer
• Scholarship options
• Payment conditions
• Tuition inclusions
• Certification details
• Virtual Campus access
• Tutor support
• Job-bank and internship availability
• Any additional administrative requirements

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

Applicants must meet at least one of the following requirements:

• Hold a degree in any field, including a Bachelor’s degree, Architecture qualification, Higher or Technical Engineering qualification, Licentiate, Diploma, or equivalent.
• Be a university student currently pursuing a degree or equivalent higher education studies.
• Be a professional with career prospects in a current position.

Applicants who do not meet one of these conditions may contact ENEB so the admissions department can evaluate their individual case.

A degree specifically in data science, Business Intelligence, computer science, business, or digital transformation is not listed as a requirement. Applicants from different academic and professional backgrounds may therefore be considered through the appropriate admission route.

Prospective students should confirm that they can dedicate enough time to a 12-month online Double Master. They should also verify whether the qualification meets any academic, employment, immigration, or professional-recognition requirements that apply to their goals.

Data Analyst

A Data Analyst collects, processes, interprets, and communicates data that may support business decision-making.

The role may involve preparing reports, reviewing trends, building dashboards, checking data quality, performing statistical analysis, and explaining findings to managers or operational teams.

The program supports this profile through Big Data, Business Intelligence, Python, Power BI, databases, statistics, data management, and digital-business strategy.

A Data Analyst must also understand the business question behind the analysis. The digital-business modules can help learners connect data with e-commerce, marketing, transformation, operations, and strategic planning.

Digital Transformation Manager

A Digital Transformation Manager leads or coordinates initiatives that introduce new technologies, systems, processes, and business models.

Responsibilities may include defining priorities, coordinating teams, evaluating technology, managing change, tracking progress, and aligning projects with business strategy.

The program supports this profile through project management, agile methodologies, digital transformation, Business Intelligence, data strategy, cloud technologies, e-commerce, and business planning.

Digital Business Consultant

A Digital Business Consultant advises organizations on digital strategy, technology implementation, data use, online operations, e-commerce, and transformation.

Consultants may assess current capabilities, identify opportunities, recommend systems, support implementation, and evaluate results.

The Double Master supports this career direction through data analytics, Business Intelligence, digital business, fintech, blockchain, project management, e-commerce, and strategy.

Additional Career Directions

Graduates may also pursue roles such as:

• Business Intelligence Analyst
• BI Consultant
• Data Visualization Specialist
• Power BI Analyst
• Reporting and KPI Specialist
• Business Analyst
• Big Data Analyst
• Analytics Consultant
• Digital Strategy Manager
• E-commerce Analyst
• Digital Business Manager
• Data Project Coordinator
• Digital Transformation Consultant
• Database Analyst
• Data Management Specialist
• Marketing Analytics Specialist
• AI Project Coordinator
• Machine Learning Business Analyst
• Cloud Data Project Manager
• Fintech Business Analyst
• Digital Operations Manager
• Marketplace Analyst
• Data Governance Coordinator
• Technology and Innovation Manager
• Business Intelligence Project Manager
• Entrepreneur

Career outcomes depend on previous experience, sector knowledge, language ability, local market conditions, and employer requirements. Completion does not guarantee a particular role, promotion, or salary.

Skills Graduates May Develop

The program is designed to support skills in:

• Big Data awareness
• Business Intelligence
• Dashboard and KPI design
• Data-quality assessment
• Data management
• Data privacy and strategy
• Python visualization
• Microsoft Power BI
• Google Data Studio
• Database fundamentals
• SQL and NoSQL awareness
• Statistical analysis
• Regression and correlation
• Probability and hypothesis testing
• Machine learning
• Deep learning awareness
• Hadoop and Spark
• Streaming technologies
• Cloud data platforms
• Project management
• Agile methodologies
• Business planning
• Marketing analytics
• E-commerce operations
• Marketplaces and fulfillment
• Digital transformation
• Fintech and blockchain
• Strategic decision-making
• Cross-functional communication
• Digital-business consulting