MBA + Master in Big Data and Business Intelligence

MBA – Master of Business Administration + Master in Big Data and Business Intelligence | ENEB Business School

• Type: MBA + Master (Dual Degree)
• Duration: 12 months
• Delivery Mode: 100% Online / Distance Learning
• Credits: 72 ECTS
• Language: English
• Start Date: Chosen by the student
• Regular Fee: $3260
• Offer Price: $1,095
• Scholarships: Available

The MBA – Master of Business Administration + Master in Big Data and Business Intelligence is a dual program that provides advanced training in business management and data analysis technologies. This academic program 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.

Data has become one of the most valuable assets any organization holds, but raw data on its own creates no value — it only becomes useful once someone knows how to collect it, structure it, interpret it, and turn it into a decision. That's the gap this program is built to close. Rather than training students to be either a business generalist or a technical data specialist, it develops both skill sets in parallel, so graduates can move fluidly between the boardroom and the dashboard.

Choosing to study at ENEB (European Business School of Barcelona) means training at one of the most prominent distance business schools in Europe, with the flexibility to study from anywhere in the world and daily support from professors and tutors throughout the entire program.

Double Certification

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:

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

This second diploma certifies the acquisition of key competencies in innovation and project management — two strategic areas that significantly enhance your professional profile and improve your employment opportunities in today's competitive job market. Together, these credentials position graduates as professionals who can both lead a business function and personally interrogate the data behind it, rather than relying entirely on a separate analytics team to translate numbers into strategy.

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, in order to make informed and effective strategic decisions in an increasingly competitive business environment.
• Technology and IT professionals who want to acquire skills in Big Data and Business Intelligence to enhance their technical capabilities and advance their careers into more strategic, business-facing roles.
• Entrepreneurs and business leaders looking to improve their business management skills and learn 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 more effective marketing strategies.
• University graduates seeking a career in business management, technology, or data analytics.

What ties these five profiles together is a shared need: the ability to speak both the language of business strategy and the language of data, without needing an interpreter in between.

Program 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, and practically apply various analytical techniques to meet current demand in the business sector.

By the end of the program, graduates aren't simply able to read a dashboard — they're able to design the strategy that dashboard should be measuring in the first place.

Distance Learning Methodology

In order to balance personal and professional life, the MBA + Master's program is offered entirely online. All educational content is accessed through ENEB's Virtual Campus, which serves as the main learning platform, allowing students to study from anywhere in the world at any time. All assessments and final projects are also conducted remotely, so there's no need to travel or relocate at any point during the program.

Once enrolled, students gain access to the Virtual Campus along with all the academic resources they need, including continuous communication channels with other students and professors. The platform includes discussion forums, the option to undertake executive training in English, and the ability to connect with classmates across the wider ENEB Campus community.

Evaluation

Consistency is a key element of the study plan. Through self-assessments available on the Virtual Campus, students can consolidate the knowledge they've acquired throughout each section.

To pass all subjects, students must submit a final project for each course. Once the tutor team has evaluated the submission, the grade becomes visible on the Virtual Campus, and students also receive a detailed document via email explaining every point of their case study evaluation.

Tutors assess submissions across three main dimensions:

1. Presentation — the exercise's design, visual clarity, and spelling/grammar accuracy.
2. Development — the complexity of the topic addressed, and the logic and coherence of the results obtained in the case study.
3. Added value — the depth of analysis and originality brought to the proposed case.

It's worth noting that all self-assessments are voluntary and do not count toward the final grade for each subject — they exist purely as a tool to help students track their own progress.

Why This Program Stands Out

Most data analytics courses on the market are built for technical specialists, and most MBA programs treat data as a single supporting subject rather than a core pillar. The MBA + Master in Big Data and Business Intelligence takes a different approach: it dedicates eight full sections — from Big Data and Business Intelligence through to Databases, Artificial Intelligence, and Storage Technologies for Big Data — to building genuine technical fluency, while still delivering the complete strategic, financial, and leadership training of a traditional MBA.

That combination matters because data initiatives inside real organizations rarely fail for technical reasons. They fail because the people leading them don't know how to translate a dashboard into a decision, secure budget for a data project, or communicate findings to stakeholders who don't think in SQL. This program is built specifically to prevent that gap from forming in the first place.

Students also benefit from ENEB's broader institutional strengths: a fully online, self-paced learning model with no fixed class times; daily tutor support seven days a week; a job board and registration opportunities with collaborating companies; the possibility of internships; and access to language learning resources through ENEB's partnership with Oakford International.

For non-EU students, ENEB also facilitates the apostille process for official documents, under the Hague Convention framework, making it easier for international graduates to have their qualification formally recognized in their home country.

Frequently Asked Questions

Is the MBA + Master in Big Data and Business Intelligence accredited?

Yes. The program is awarded by the European Business School of Barcelona and endorsed and certified by Universidad Isabel I, which grants ECTS credits within the European Higher Education Area, guaranteeing consistent academic quality.

Do I need a programming or IT background to enroll?

No prior programming experience is required. The program teaches tools such as Python, SQL, Power BI, and Carto from the ground up, in the context of practical business applications rather than pure software engineering.

How long do I have to complete the program?

The standard duration is 12 months, and students can choose their own start date, allowing them to begin whenever it fits their schedule rather than waiting for a fixed academic term.

Is the program fully online?

Yes. Every part of the program — coursework, assessments, final projects, and tutor communication — is delivered through ENEB's Virtual Campus, so students can study from anywhere in the world without needing to relocate.

What tools will I learn to use?

The curriculum covers Python, SQL (MySQL), NoSQL (Hbase), Microsoft Power BI, Google Data Studio, Carto, and big data infrastructure tools including Apache Hadoop and Apache Spark.

Can I get financial help to pay for the program?

Yes. Beyond the discounted offer price, ENEB offers a 10% discount for upfront card payment, a two-installment option via bank transfer, and an 11-installment financing plan with no down payment or interest. Scholarships are also available for eligible applicants, though places are limited and awarded in order of enrollment.

Will I be able to work while studying?

Yes — the program is specifically designed for working professionals. Because there are no fixed class times and all content is accessed on-demand through the Virtual Campus, students can structure their study time around their job and other commitments.

What kind of job roles can I pursue after graduating?

Graduates typically move into roles such as Data Analytics Manager, Business Consultant, Business Data Analyst, Business Intelligence Director, and other leadership positions that combine strategic decision-making with data expertise.

A Program Built for a Data-Driven Business World

Every industry is now, to some degree, a data industry. Retailers use data to predict demand, financial institutions use it to assess risk, healthcare providers use it to improve patient outcomes, and manufacturers use it to optimize supply chains. The organizations that win in this environment aren't necessarily the ones with the most data — they're the ones with people who know how to turn that data into a decision, and then act on it with real business judgment.

The MBA + Master in Big Data and Business Intelligence was built for exactly that professional. It doesn't ask students to choose between a career in business leadership and a career in data — it prepares them to build a career that sits confidently across both. For professionals evaluating their next step, whether that's a promotion into a more data-driven leadership role, a pivot from a technical position into business strategy, or simply staying competitive in a job market that increasingly expects data literacy at every level, this program offers a rare combination: an internationally accredited, dual-certified qualification, delivered entirely online, with a payment structure designed to be accessible rather than exclusionary.

Request Information

Have questions about admission requirements, tuition, or scholarships for the MBA + Master in Big Data and Business Intelligence? Reach out to an admissions advisor to get personalized guidance on the right path for your career goals, and find out whether you qualify for one of ENEB's available scholarships.

Apply Now

The program is structured across 18 comprehensive sections that combine core MBA disciplines with in-depth data, analytics, and technology training. Each section builds toward a graduate who can operate confidently across both business management and applied data science.

Section 1: Marketing

This section reframes marketing around the modern, empowered consumer. Students cover the new role of the consumer, brand building, defining the ideal customer, mapping the customer journey, and understanding the different types of marketing strategy available to a business.

Section 2: E-commerce

Students gain hands-on knowledge of running a digital storefront: online sales strategy, web store setup, mobile applications, converting leads into buyers, web analytics, user experience (UX) design, digital campaign management, mobile payment systems, and landing page optimization.

Section 3: Operations Management

Operations is where strategy meets execution. This section covers business strategy, operations management fundamentals, demand planning, product development, operating systems, process planning and management, operational planning, and the human factor in operations.

Section 4: Digital Transformation

Business digitalization doesn't happen in isolation — it connects to a broader ecosystem of emerging technologies. This section covers artificial intelligence, the Internet of Things (IoT), blockchain, Big Data and Business Intelligence (BI), cloud computing, industrial automation and robotics, and cybersecurity.

Section 5: Business Plan

Every strategic initiative needs a plan behind it. This section walks through defining vision, mission, and values, building a strategic plan, designing a business model, conducting strategic analysis, and monitoring the strategic plan over time.

Section 6: Project Management

This section introduces the role of the project manager, team management fundamentals, communication within project teams, and the core principles of managing a project from initiation through completion.

Section 7: Decision Making

Strong decision-making is a structured process. Students learn how to define a problem clearly, select the right criteria and techniques, develop realistic alternatives, analyze them rigorously, reach a decision, and build an action plan, reinforced through real examples of common business problems.

Section 8: Strategic People Management

This module covers strategic management in human resources, strategic communication, organizational culture, business ethics, and labor flexibility.

Section 9: Accounting Management

A solid grasp of financial statements is essential for any MBA graduate. This section covers the balance sheet, the profit and loss statement, cash flow statements, journal entries, advanced accounting concepts, and taxation.

Section 10: Management Accounting

Beyond standard accounting, students learn how accounting supports strategic decision-making: cost accounting, management accounts, working capital, and net financial debt.

Section 11: Big Data

This section introduces the foundations of big data: what it is, how it's used in projects, the agile methodologies that support big data initiatives, its relationship to artificial intelligence, and real industry use cases that show big data in action.

Section 12: Business Intelligence

Students study the fundamentals of business intelligence systems, how to design reports, dashboards, and KPIs that actually drive decisions, where data sources come from, and how to evaluate and maintain data quality.

Section 13: Data Management

This section covers open data, the principles of effective data management, data privacy considerations, data storage strategy, and how to build a broader data strategy that supports business goals.

Section 14: Python, Carto, Power BI and Google Data Studio

A hands-on, tools-focused section covering how to interpret data, build interactive visualizations using Python, get started with Carto for geospatial data, use Microsoft Power BI for business dashboards, and work with Google Data Studio for reporting.

Section 15: Databases

Students cover database fundamentals and technology, hands-on SQL practice using MySQL, NoSQL practice using Hbase, database considerations for networks, and how databases operate in the cloud.

Section 16: Data Analysis and Interpretation

This section builds the statistical foundation students need to interpret data confidently: data representation, measurements, regression and correlation, probability, distributions, confidence intervals, an introduction to hypothesis testing, and statistics using R.

Section 17: Artificial Intelligence

Students are introduced to data analysis with Python, then move into the core concepts of machine learning: supervised machine learning, unsupervised machine learning, reinforcement learning, and the fundamentals of deep learning.

Section 18: Storage Technologies for Big Data

The program closes with the infrastructure layer behind big data: Apache Hadoop, the broader Hadoop ecosystem, Apache Spark, streaming technologies, and the file systems and platforms used for big data in the cloud.

To be eligible for this program, applicants must meet one of the following requirements:

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

If you do not meet any of the above conditions, you can still contact the school directly — the admissions department evaluates individual cases and may find an alternative pathway based on your professional experience.

Graduates of the MBA + Master in Big Data and Business Intelligence are prepared to step into roles that sit at the intersection of business strategy and applied data science, including:

• Data Analytics Manager — An MBA with a specialization in Big Data and Business Intelligence provides advanced skills in business data management and analytics, valuable for companies looking to better understand their operations and improve decision-making. A data analytics manager typically leads the team that uses advanced data analysis techniques to identify patterns and trends and provide recommendations that improve business efficiency, profitability, and performance.
• Business Consultant — The strong grounding in business strategy, finance, marketing, human resources, and operations that comes with this MBA equips consultants to help companies develop effective business strategies, improve operational efficiency, implement new technologies, and optimize human resource management. The Big Data and Business Intelligence specialization is especially valuable for consultants working on enterprise data analytics projects.
• Business Data Analyst — Responsible for collecting, analyzing, and visualizing data to help companies identify patterns and trends, improve operational efficiency, and make informed, data-backed decisions.

Beyond these three core paths, graduates are also well positioned for broader leadership roles — such as Chief Data Officer, Business Intelligence Director, or Head of Analytics — where the combination of an MBA's strategic grounding and deep technical fluency in data tools becomes a genuine competitive advantage.