Double Master in Project Management + Big Data & BI
Double Master

Double Master in Project Management + Big Data & BI

Accredited online program delivered for working professionals.

ENEB Business School
12 months
100% Online
Total Tuition Fee
$1157
Price may vary by country.
Apply Online Now

Program Overview

Master in Project Management + Master in Big Data and Business Intelligence | 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 Project Management + Master in Big Data and Business Intelligence is a Double Master program designed for professionals who want to combine advanced project-management capabilities with practical knowledge of Big Data, Business Intelligence, data analysis, databases, artificial intelligence, visualization, and modern storage technologies.

Organizations increasingly rely on data to make strategic decisions, improve operations, understand customers, manage risk, and identify new opportunities. However, data initiatives are rarely successful through technical knowledge alone. They also require structured planning, clear objectives, stakeholder communication, team coordination, resource management, risk awareness, and disciplined execution.

This program brings both areas together. The Project Management component develops knowledge of strategic planning, business models, project leadership, decision-making, agile methods, team management, communication, digital business, digital transformation, and supply-chain awareness. The Big Data and Business Intelligence component focuses on data management, data quality, dashboards, databases, Python, Power BI, Google Data Studio, statistics, machine learning, cloud platforms, Hadoop, Spark, and streaming technologies.

The combination is important because data projects often involve multiple teams and departments. A Business Intelligence implementation may require cooperation between senior management, analysts, IT professionals, finance, marketing, operations, and data-governance teams. A machine-learning initiative may involve technical development, business validation, data privacy, deployment, and change management. A Big Data platform may require investment, cloud infrastructure, storage planning, cybersecurity, and stakeholder alignment.

Professionals who understand both project management and data may be better prepared to guide these initiatives from planning to implementation. They can help translate business needs into structured project goals, coordinate technical and non-technical teams, review risks, communicate progress, and support data-driven decision-making.

The program also helps learners understand how data connects with wider business activity. Data can support marketing, supply chains, customer service, finance, operational planning, and digital transformation. Business Intelligence can help organizations create dashboards and KPIs, while project-management skills can help ensure that these tools are implemented effectively and used for meaningful 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, providing flexibility for 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 people who want to continue working while developing advanced management and data-related skills.

This program may be especially suitable for project managers, data analysts, IT professionals, Business Intelligence professionals, consultants, engineers, operations managers, digital-transformation specialists, entrepreneurs, and graduates preparing for data-driven management roles.

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

The main qualification reflects advanced study in project management, data analysis, Business Intelligence, Big Data, artificial intelligence, databases, visualization, digital transformation, and team leadership.

The additional Diploma of Specialization in Innovation and Project Management strengthens the professional profile by adding further emphasis on two areas that are closely connected to modern data initiatives.

Innovation is important because organizations use data to create new products, improve processes, automate decisions, and identify opportunities. Project management provides the structure required to move those ideas from analysis to practical implementation.

The combination of project leadership, data capabilities, and innovation knowledge may support professionals who want to work on complex business and technology initiatives.

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 particular academic, legal, employment, immigration, or professional purpose should verify the applicable requirements independently.

Who Is It For?

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

  • Professionals who want knowledge of project management, Big Data, and Business Intelligence to improve their work performance.
  • Project managers who want to lead technology and data projects more effectively.
  • Data analysts who want to strengthen planning, communication, and leadership skills.
  • Business Intelligence professionals who want broader knowledge of project delivery and strategic decision-making.
  • IT professionals who want to move into project or program-management roles.
  • Engineers and technology graduates who want to combine technical skills with management knowledge.
  • Business graduates who want to specialize in data-driven project environments.
  • Professionals interested in data-informed decision-making and business analytics.
  • Consultants and advisors who support organizations with data strategy, Business Intelligence, or project implementation.
  • Digital-transformation professionals who work with data, systems, automation, and organizational change.
  • Operations managers who need better use of data for planning, performance, and process improvement.
  • Supply-chain professionals who want to understand data, analytics, and project management.
  • Entrepreneurs and business owners who want to use data more effectively and manage technology projects.
  • Professionals preparing for international roles involving data and project coordination.
  • Career changers who want to move into data-related management, Business Intelligence, or technology consulting.
  • Professionals interested in AI and machine learning who want a broader business and project context.

The program is particularly relevant to people who understand that data creates value only when it is connected to clear business goals, reliable processes, good communication, and effective implementation.

Program Objectives

The curriculum aims to help students:

  • Develop a deep understanding of Project Management and Big Data.
  • Learn tools, techniques, and strategies for managing projects.
  • Develop leadership and project-management skills.
  • Build knowledge of data analysis and Big Data.
  • Lead teams and complex projects.
  • Improve data-driven decision-making.
  • Foster creativity and innovation.
  • Improve communication and collaboration in interdisciplinary teams.
  • Understand ethical and legal implications of data use.
  • Prepare for international and multinational work environments.
  • Build networking and business-development capabilities.
  • Understand Business Intelligence systems.
  • Design and interpret dashboards and KPIs.
  • Improve data-quality and data-source awareness.
  • Develop knowledge of Python-based data analysis and visualization.
  • Understand Microsoft Power BI and Google Data Studio.
  • Learn database fundamentals and SQL.
  • Understand NoSQL and cloud-based databases.
  • Develop statistical-analysis knowledge.
  • Understand regression, correlation, probability, and hypothesis testing.
  • Learn machine-learning concepts.
  • Understand supervised, unsupervised, and reinforcement learning.
  • Build awareness of deep learning.
  • Understand Hadoop, Spark, streaming technologies, and cloud platforms.
  • Connect data initiatives with business strategy and project goals.
  • Improve the ability to communicate technical findings to business stakeholders.

By completing the program, students should be better prepared to plan data initiatives, lead multidisciplinary teams, evaluate analytical results, and connect Big Data and Business Intelligence with organizational decision-making.

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 their learning according to their availability, communicate with professors, and complete all assessments 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 projects, technology, data, consulting, business analysis, or operations. These roles may involve deadlines, technical teams, stakeholders, and changing priorities.

The student-selected start date provides additional flexibility. However, successful completion still requires planning, consistent study, and regular progress across 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 project and data situations, organize recommendations, and present structured conclusions.

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 the 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 project-management expertise with advanced Big Data and Business Intelligence knowledge.

Traditional project-management programs may focus mainly on planning, resources, deadlines, and control. Data programs may focus on analytics, tools, databases, or technical methods. This program connects both.

Students study project planning, decision-making, agile management, leadership, digital transformation, supply chain, Big Data, data management, Business Intelligence, visualization, databases, statistics, AI, and cloud storage technologies.

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
  • Project management and agile methodologies
  • Business planning and leadership
  • Big Data and Business Intelligence
  • Dashboards and KPIs
  • Python, Carto, Power BI, and Google Data Studio
  • SQL, NoSQL, and cloud databases
  • Statistical analysis
  • Machine learning and deep learning
  • Hadoop, Spark, and streaming technologies
  • Data privacy and strategy
  • 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 project managers develop stronger data awareness and help data professionals improve project execution, stakeholder communication, and leadership.

Frequently Asked Questions

What is the Double Master in Project Management + Big Data & BI?

It combines the Master in Project Management with the Master in Big Data and Business Intelligence 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 project management?

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 syllabus include Business Intelligence?

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

Does it include Power BI?

Yes. Microsoft Power BI is included in the syllabus.

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.

Does it include statistics?

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

Is artificial intelligence included?

Yes. Machine learning, reinforcement learning, and deep-learning fundamentals are included.

Does it cover Hadoop and Spark?

Yes. Hadoop, the Hadoop ecosystem, Spark, streaming technologies, and cloud data platforms 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 IT and Big Data Project Manager, Business Data Analyst, Technology and Data Manager, BI Project Manager, Data Analyst, and Data Strategy Consultant.

A Double Master for Data-Driven Project Leadership

Organizations need professionals who can manage complex initiatives and understand the data that supports modern decision-making.

The Double Master in Project Management + Big Data & BI brings those responsibilities together.

The project-management side develops planning, leadership, decision-making, agile methods, communication, and execution. The data side develops Business Intelligence, visualization, statistics, databases, AI, Hadoop, Spark, and data-governance knowledge.

For project managers, this combination can improve data awareness and communication with technical teams. For data professionals, it can strengthen planning, leadership, and project-delivery skills. For consultants and managers, it can support more structured implementation of data-driven 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