Double Master in Project Management + AI for Business

Master in Project Management + Master in AI for Business | ENEB Business School

• Type: Double Master
• Short Name: Double Master in Project Management + AI for Business
• 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 AI for Business is a Double Master program designed for professionals who want to combine structured project-management expertise with practical knowledge of how Artificial Intelligence can support business decisions, operations, marketing, finance, human resources, and project delivery.

Project management has become increasingly connected with data, automation, digital platforms, and intelligent technologies. Organizations use projects to implement new systems, launch products, redesign processes, improve supply chains, introduce digital services, and respond to changing customer expectations. As Artificial Intelligence becomes more widely used across business functions, project leaders need to understand both the management process and the business value of AI.

This program addresses that need by bringing together two complementary areas. The Project Management component develops knowledge of planning, execution, control, decision-making, agile methodologies, leadership, communication, digital transformation, supply chain, business planning, and operations. The AI for Business component introduces Artificial Intelligence, workplace applications, AI for finance, marketing, human resources, operations, data analysis, and future business developments.

The program is designed to help students understand how AI can be integrated into project-management processes without treating technology as separate from business strategy. AI may support risk analysis, forecasting, resource allocation, customer insight, operational planning, marketing personalization, financial analysis, and employee management. However, these applications still require clear project objectives, reliable data, responsible decision-making, team coordination, and effective implementation.

The Double Master therefore develops a broader professional profile. Students are not limited to learning how to plan a project or how AI tools work in isolation. They examine how digital transformation, data, strategy, operations, customer behavior, and organizational change influence project success.

The program is delivered entirely online through ENEB Business School’s Virtual Campus. Students can access course materials, communicate with professors and tutors, complete assessments, submit final projects, and connect with classmates without relocating. The start date is selected by the student, providing flexibility for 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 people who want to advance professionally while continuing their current work or personal responsibilities.

This Double Master may be especially suitable for project managers, project coordinators, consultants, technology professionals, operations managers, business analysts, digital-transformation professionals, entrepreneurs, and graduates who want to develop expertise in AI-enabled project environments.

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. Project Management + Master in AI for 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 project management, Artificial Intelligence for business, digital transformation, data, e-commerce, operations, leadership, and strategic decision-making.

The Diploma of Specialization in Innovation and Project Management adds further professional value. Innovation and project management are closely related because organizations usually introduce new ideas through structured initiatives. An AI solution may begin as a business problem, but it must still be evaluated, planned, funded, tested, implemented, monitored, and improved.

The additional diploma may therefore support professionals who want to lead innovation projects, AI adoption, digital transformation, process improvement, or organizational change.

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 relevant requirements independently.

Who Is It For?

The Project Management + Master in AI for Business is aimed at:

• Project-management professionals who want to improve their knowledge through practical AI applications.
• Project managers who want to use AI-supported analysis, forecasting, and decision-making.
• Project coordinators preparing for greater responsibility in digital or technology-driven environments.
• University graduates in engineering, business administration, technology, or related disciplines.
• Technology professionals who want stronger project, leadership, and business-management skills.
• Business professionals who want to understand how AI can improve project outcomes.
• Operations professionals who want to use data and AI to support planning, demand management, and process improvement.
• Marketing professionals interested in AI-supported customer insight, personalization, automation, and decision-making.
• Finance professionals who want to understand AI applications in financial analysis and business projects.
• Human resources professionals interested in AI-supported talent, workforce, and organizational decisions.
• Consultants and advisors who help companies improve project management, digital transformation, or AI adoption.
• Entrepreneurs and business owners who want to manage AI-enabled projects and business innovation.
• Professionals seeking a career change into project management with an AI focus.
• Professionals preparing for PMP certification who also want broader AI and digital-business awareness.
• Business analysts who want to connect project planning with data-informed decisions.
• Digital-transformation professionals responsible for technology implementation and organizational change.
• Professionals working in international environments who need strong communication, collaboration, and project-leadership capabilities.

The program is particularly relevant to learners who recognize that AI creates business value only when it is connected to clear goals, reliable data, responsible use, and effective execution. Project leaders who understand these conditions may be better prepared to guide organizations through AI adoption.

Program Objectives

The curriculum aims to help students:

• Develop advanced project-management skills.
• Improve team-leadership capabilities.
• Understand project planning, implementation, and control.
• Develop knowledge of resource management.
• Learn how AI can support project-management processes.
• Understand AI-supported risk analysis.
• Improve change-management capabilities.
• Apply project-management principles across different business sectors.
• Develop critical thinking and problem-solving.
• Understand digital transformation.
• Improve strategic planning.
• Learn how AI can be used in finance.
• Understand AI applications in marketing.
• Learn how AI may support human resources.
• Understand AI use in operations.
• Improve data-driven decision-making.
• Develop knowledge of data management and privacy.
• Strengthen communication and collaboration.
• Learn agile project and product approaches.
• Build leadership and coaching awareness.
• Understand e-commerce and digital business.
• Develop web-positioning and marketing-automation knowledge.
• Understand statistics and data interpretation.
• Improve operational-planning knowledge.
• Build awareness of ethical and legal considerations related to AI.
• Prepare for international and multidisciplinary project environments.

By completing the program, students should be better prepared to connect project planning with AI-enabled business improvement while maintaining a clear focus on strategy, people, data, and implementation.

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 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 especially useful to professionals who already work in projects, technology, operations, marketing, finance, consulting, or entrepreneurship. These roles may involve deadlines, team responsibilities, stakeholders, and rapidly changing 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 project and AI-related business 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 practical AI-for-business knowledge.

Traditional project-management programs may focus primarily on scope, time, cost, resources, and risk. AI programs may focus on technology or technical development. This program connects project delivery with the business application of Artificial Intelligence.

Students study digital transformation, project management, decision-making, digital business, agile methods, leadership, data management, supply chain, strategic planning, Big Data, AI for Business, e-commerce, web positioning, data interpretation, and operations.

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 decision-making and leadership
• AI applications across business functions
• Data management and privacy
• Big Data and Business Intelligence awareness
• E-commerce and digital business
• Web positioning and marketing automation
• Statistical analysis and interpretation
• Operations and supply-chain knowledge
• 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 professionals understand AI-related business opportunities and help technology or data professionals develop stronger project-management capabilities. It may also support entrepreneurs and consultants who want to lead AI-enabled change from planning through implementation.

Frequently Asked Questions

What is the Double Master in Project Management + AI for Business?

It combines the Master in Project Management with the Master in AI for 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 AI 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 program include AI for business functions?

Yes. The syllabus includes AI for finance, marketing, human resources, and operations.

Does the program include project management?

Yes. It includes project leadership, team management, communication, decision-making, and agile methodologies.

Is Big Data included?

Yes. Big Data, AI, agile methods, and industry use cases are included.

Does the program include data analysis?

Yes. Data representation, regression, probability, confidence intervals, hypothesis testing, and statistics with R are included.

Does it include digital transformation?

Yes. AI, IoT, blockchain, Big Data, cloud computing, automation, robotics, and cybersecurity are included.

Is e-commerce included?

Yes. Online sales, web stores, mobile applications, analytics, user experience, digital campaigns, mobile payment, and landing pages are included.

Does the program include SEO and SEM?

Yes. SEO, SEM, growth hacking, sales automation, and marketing automation 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.

Does this program award PMP certification?

The supplied information presents the program as relevant to professionals interested in PMP certification, but it does not state that completing the Double Master automatically awards PMP certification. Applicants should verify current PMI requirements independently.

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 Project Manager, Project Coordinator, Project Management Specialist, Project Management Consultant, AI Project Manager, and Digital Transformation Consultant.

A Double Master for AI-Enabled Project Leadership

Organizations need professionals who can manage complex initiatives and understand how Artificial Intelligence may improve business performance.

The Double Master in Project Management + AI for Business brings these responsibilities together.

The project-management side develops planning, leadership, communication, agile methods, and execution. The AI-for-business side develops knowledge of AI applications in finance, marketing, human resources, operations, data analysis, and digital transformation.

For project managers, this combination can improve understanding of AI opportunities and implementation challenges. For technology professionals, it can strengthen planning, stakeholder communication, and project leadership. For entrepreneurs and consultants, it can support the development of AI-enabled initiatives from concept to execution.

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 Project Management + Master in AI for Business is made up of the following syllabus:

Section 1: 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 2: Decision Making

• Topic 1. Problem definition
• Topic 2. Selection of criteria and techniques
• Topic 3. Development of alternatives
• Topic 4. Analysis
• Topic 5. Decision
• Topic 6. Action plan
• Topic 7. Examples of problems

Section 3: Project Management

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

Section 4: 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 5: Agile Methodologies

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

Section 6: Management Skills

• Topic 1. Leadership
• Topic 2. Effective communication
• Topic 3. Coaching
• Topic 4. Empowering teams
• Topic 5. Change management

Section 7: Data Management

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

Section 8: Supply Chain

• Topic 1. Supply chain
• Topic 2. Purchase management
• Topic 3. Warehouse management
• Topic 4. Logistic models
• Topic 5. Reverse logistics
• Topic 6. Amazon Model
• Topic 7. Innovation and sustainability

Section 9: 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 10: 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 11: AI for Business

• Topic 1: Introduction to AI
• Topic 2: How to Apply AI in Your Daily Life
• Topic 3: AI in the workplace
• Topic 4: AI for Finance
• Topic 5: AI for Marketing
• Topic 6: AI for Human Resources
• Topic 7: AI for Operations
• Topic 8: Case Studies
• Topic 9: Future of the AI

Section 12: 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 13: Web Positioning

• Topic 1. How to attract customers
• Topic 2. SEO: Organic Optimization
• Topic 3. SEM: Payment optimization
• Topic 4. Automating sales
• Topic 5. Growth hacking
• Topic 6. Marketing automation
• Topic 7. Psychology in marketing

Section 14: 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 15: Operations Management

• Topic 1. Business Strategy
• Topic 2. Operations Management
• Topic 3. Demand
• Topic 4. Product development
• Topic 5. Operating systems
• Topic 6. Process planning and management
• Topic 7. Operational planning
• Topic 8. The human factor in operations management

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 project management, Artificial Intelligence, engineering, technology, or business 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.

Applicants interested in PMP certification should independently confirm the current education, experience, and examination requirements set by the Project Management Institute. The supplied program information presents the Double Master as relevant to professionals pursuing PMP-related goals, but it does not state that completing this program automatically awards PMP certification.

Project Manager

A Project Manager plans, organizes, directs, and controls project resources to achieve defined objectives.

In an AI-enabled environment, this role may also involve coordinating data specialists, technology teams, business stakeholders, and external providers. The manager may use AI-supported insights to improve forecasting, monitor risk, review performance, or support resource decisions.

The program supports this profile through project management, decision-making, leadership, AI for Business, data analysis, operations, and digital transformation.

Project Coordinator

A Project Coordinator supports the planning and coordination of project teams.

Responsibilities may include scheduling, documentation, communication, progress tracking, meeting support, action follow-up, and coordination between stakeholders.

The program’s focus on communication, team management, agile methodologies, data, and AI can support professionals preparing for this role in digital or technology-focused environments.

Project Management Specialist

A Project Management Specialist applies established methods, processes, and best practices to improve project delivery.

The role may involve governance, templates, reporting, process improvement, portfolio support, risk review, and project controls.

The Double Master can support this career direction by combining project principles with AI, digital business, data management, and organizational change.

Project Management Consultant

A Project Management Consultant advises organizations on improving planning, governance, execution, efficiency, and project outcomes.

Consultants may also help clients evaluate how AI can support project processes, forecasting, risk identification, communication, or performance analysis.

The program supports this profile through project management, AI for Business, strategy, operations, data analysis, digital transformation, and leadership.

Additional Career Directions

Graduates may also pursue roles such as:

• AI Project Manager
• Digital Project Manager
• Technology Project Manager
• Project Coordinator
• PMO Analyst
• PMO Manager
• Business Transformation Manager
• AI Implementation Coordinator
• Digital Transformation Consultant
• Operations Project Manager
• Business Analyst
• Data-Informed Project Analyst
• Innovation Project Manager
• E-commerce Project Manager
• Marketing Technology Project Manager
• AI Business Consultant
• Process Improvement Manager
• Product Operations Manager
• Change Management Specialist
• Supply Chain Project Manager
• Business Development Manager
• Project Controls Specialist
• Agile Project Manager
• Startup Project Lead
• 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, salary, or professional certification.

Skills Graduates May Develop

The program is designed to support skills in:

• Project planning
• Project implementation and control
• Team leadership
• Strategic decision-making
• Agile methodologies
• Resource management
• Change management
• Risk awareness
• Digital transformation
• AI applications in business
• AI for finance
• AI for marketing
• AI for human resources
• AI for operations
• Data management and privacy
• Big Data awareness
• E-commerce
• SEO and SEM
• Marketing automation
• Data analysis and interpretation
• Statistical thinking
• Operations management
• Supply-chain awareness
• Business planning
• Cross-functional communication
• Innovation management