Double Master in Financial Markets + AI for Business

Master in Financial Markets and Asset Management + Master in AI for 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 Financial Markets and Asset Management + Master in AI for Business is a Double Master program designed for professionals who want to combine advanced financial knowledge with a practical understanding of how Artificial Intelligence can support analysis, investment decisions, risk management, portfolio strategy, and business transformation.

Financial markets are increasingly shaped by data, technology, automation, digital assets, global regulation, and rapidly changing investor behavior. Professionals working in banking, asset management, investment analysis, consulting, insurance, fintech, and corporate finance need more than traditional financial theory. They also need to understand how digital tools and AI may influence valuation, forecasting, risk assessment, market research, portfolio monitoring, and strategic decision-making.

This program brings those areas together in one academic pathway. The Financial Markets and Asset Management component develops knowledge of investment vehicles, capital markets, macroeconomic indicators, futures and options, trading, company valuation, due diligence, accounting, working capital, fintech, blockchain, and financial regulation. The AI for Business component introduces practical AI applications in finance, marketing, human resources, operations, data analysis, digital transformation, e-commerce, and decision-making.

The combination is particularly relevant because modern financial professionals often work with large volumes of information. Investment decisions may depend on financial statements, market trends, macroeconomic data, valuation models, risk indicators, and investor expectations. AI may help process information, identify patterns, support scenario analysis, and improve operational efficiency. However, technology does not remove the need for financial judgment, ethical responsibility, regulatory awareness, and critical thinking.

The Double Master is designed to help students understand how AI can support finance without treating technology as a substitute for professional analysis. AI-based tools may contribute to investment screening, portfolio monitoring, fraud detection, customer segmentation, forecasting, reporting, and risk analysis, but the final business decision still requires context, governance, and human oversight.

The curriculum also provides a broader understanding of the business environment. Project management, agile methodologies, business planning, digital transformation, e-commerce, web positioning, operations management, leadership, and decision-making all influence how financial organizations operate and compete.

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 chooses the start date, 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 professionals who want advanced education while continuing their current careers.

This Double Master may be especially suitable for finance professionals, investment analysts, portfolio managers, financial consultants, risk specialists, banking professionals, CFA certificate holders, business graduates, economists, entrepreneurs, fintech professionals, and graduates preparing for careers in modern financial markets.

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 Financial Markets and Asset 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 financial markets, investments, asset management, corporate finance, accounting, fintech, blockchain, AI, data analysis, and strategic business decision-making.

The additional Diploma of Specialization in Innovation and Project Management strengthens the professional profile by adding further emphasis on two areas that are increasingly relevant to finance.

Innovation is important because financial organizations continuously develop new services, digital platforms, investment products, analytical tools, and operating models. Project management is the structure through which these innovations are planned, tested, implemented, and evaluated.

The combination may therefore support professionals who want to lead digital finance initiatives, implement AI-supported financial systems, develop fintech products, improve investment processes, or manage business transformation projects.

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 Financial Markets and Asset Management + Master in AI for Business is aimed at:

• University graduates in Finance who want to specialize in financial markets, asset management, and AI applications.
• Economics graduates who want to strengthen investment, valuation, and financial-analysis knowledge.
• Business Administration graduates preparing for careers in banking, investments, consulting, or asset management.
• Mathematics and quantitative graduates who want broader business and finance capabilities.
• Finance professionals who want to update their knowledge of markets, digital finance, and AI.
• Investment analysts who want to improve valuation, research, portfolio, and data-driven decision-making.
• Portfolio managers who want stronger knowledge of AI-supported investment analysis and risk monitoring.
• Risk professionals who want to improve financial-risk identification and assessment.
• Banking professionals who want to understand investment products, fintech, AI, and digital transformation.
• Financial consultants who advise companies, investors, or institutions on finance and strategy.
• CFA certificate holders who want to extend their knowledge of asset management and AI applications.
• Fintech professionals who want to combine technology with financial-market and investment knowledge.
• Insurance professionals who want stronger skills in risk, analytics, finance, and AI.
• Entrepreneurs and business owners who want to understand investment, funding, valuation, and financial technology.
• Professionals with financial-sector experience who want to improve their career prospects.
• Career changers who want to enter financial analysis, asset management, fintech, or investment consulting.
• Professionals interested in global markets who want to understand international financial trends and regulation.
• Business leaders who need stronger financial and AI-related decision-making capabilities.

The program is particularly relevant to learners who understand that financial decision-making depends on both technical knowledge and strategic judgment. Markets change, models have limitations, data may be incomplete, and regulation matters. Professionals therefore need to combine analytical tools with critical thinking, ethics, and business context.

Program Objectives

The curriculum aims to help students:

• Develop comprehensive financial-market knowledge.
• Understand asset-management principles.
• Improve investment-analysis capabilities.
• Learn about private equity, venture capital, investment funds, and search funds.
• Understand capital markets and macroeconomic indicators.
• Develop knowledge of futures, options, stock markets, and trading.
• Improve company-valuation and due-diligence skills.
• Strengthen corporate-finance knowledge.
• Understand financial statements and advanced accounting.
• Develop management-accounting awareness.
• Improve working-capital and debt-management knowledge.
• Understand fintech, blockchain, crypto, and financial regulation.
• Apply AI concepts in finance.
• Improve financial forecasting and risk analysis.
• Develop data-analysis and interpretation skills.
• Strengthen statistical reasoning.
• Build analytical and critical-thinking abilities.
• Improve strategic decision-making.
• Develop leadership and teamwork skills.
• Understand ethical and regulatory responsibilities.
• Learn project-management and agile approaches.
• Develop digital-transformation awareness.
• Improve communication and change-management skills.
• Understand e-commerce and digital-business environments.
• Prepare students for careers in banking, consulting, asset management, insurance, and fintech.
• Build the ability to connect finance, technology, data, and business strategy.

By completing the program, students should be better prepared to evaluate financial opportunities, interpret data, assess risk, communicate recommendations, and understand how AI may support financial 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 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 finance, banking, investments, consulting, accounting, insurance, fintech, or business management. These roles may involve deadlines, market monitoring, reporting, client responsibilities, and changing business 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 financial and AI-related 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 financial-market and asset-management knowledge with practical AI-for-business awareness.

Traditional finance programs may focus on investment theory, accounting, valuation, and markets. AI programs may focus on technology or automation. This program connects both.

Students study investment vehicles, project management, agile methods, investment management, fintech, blockchain, corporate finance, accounting, business planning, AI for Business, e-commerce, web positioning, digital transformation, data analysis, leadership, decision-making, 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
• Financial markets and asset management
• Investment vehicles and portfolio knowledge
• Capital markets and macroeconomic indicators
• Corporate finance and company valuation
• Accounting and working-capital analysis
• Fintech, blockchain, crypto, and regulation
• AI applications across business functions
• AI for Finance
• Data analysis and statistics
• Digital transformation
• Leadership and project management
• 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 finance professionals develop stronger AI and digital awareness and help technology or data professionals build practical financial knowledge. It may also support consultants, entrepreneurs, and business leaders who want to make more informed financial decisions in technology-driven markets.

Frequently Asked Questions

What is the Double Master in Financial Markets + AI for Business?

It combines the Master in Financial Markets and Asset 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 finance or AI?

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 investment management?

Yes. It includes capital markets, macroeconomic indicators, futures and options, stock markets, trading, and investment principles.

Does the program include corporate finance?

Yes. Financial project evaluation, financial analysis, company valuation, and due diligence are included.

Is accounting included?

Yes. Balance sheets, profit and loss statements, cash flow, journal entries, advanced accounting, taxes, cost accounting, working capital, and net financial debt are included.

Does the program include fintech and blockchain?

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

Is AI for Finance included?

Yes. AI for Finance is included within the AI for Business section.

Does the program include data analysis?

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

Does the program award the CFA designation?

No. The supplied information mentions CFA certificate holders as a target audience, but it does not state that the program awards the CFA designation.

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 Financial Market Analyst, Portfolio Manager, Financial Risk Specialist, Investment Analyst, and Applied AI Specialist in Finance.

A Double Master for Modern Finance and AI-Enabled Analysis

Financial professionals increasingly need to understand both traditional finance and the technologies changing how financial decisions are made.

The Double Master in Financial Markets + AI for Business brings those responsibilities together.

The finance side develops knowledge of investments, asset management, valuation, accounting, capital markets, fintech, regulation, and risk. The AI side develops knowledge of AI applications across finance and other business functions, data analysis, digital transformation, and strategic decision-making.

For finance professionals, this combination can strengthen digital and analytical awareness. For technology professionals, it can build practical financial-market knowledge. For consultants and entrepreneurs, it can support more informed investment, funding, valuation, and business decisions.

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 Financial Markets and Asset Management + Master in AI for Business is made up of the following syllabus:

Section 1: Investment Vehicles

• Topic 1. The entrepreneur, the life cycle of a company and investment vehicles
• Topic 2. Private equity
• Topic 3. Venture capital
• Topic 4. Investment funds
• Topic 5. Search funds

Section 2: Project Management

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

Section 3: Agile Methodologies

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

Section 4: Investment Management

• Topic 1. Types of investments
• Topic 2. Capital Markets
• Topic 3. Macroeconomic Indicators
• Topic 4. Futures and options
• Topic 5. Stock market and trading
• Topic 6. How to invest

Section 5: 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

Section 6: Corporate Finance

• Topic 1. Financial evaluation of projects
• Topic 2. Financial Analysis
• Topic 3. Company valuation
• Topic 4. Due diligence

Section 7: Accounting Management

• Topic 1. The Balance Sheet
• Topic 2. The profit and loss statement
• Topic 3. Cash flow statements
• Topic 4. Journal entries
• Topic 5. Advanced accounting
• Topic 6. Taxes

Section 8: Management Accounting

• Topic 1. Cost accounting
• Topic 2. Management Accounts
• Topic 3. Working capital
• Topic 4. Net financial debt

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: 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 11: 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 12: 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 13: 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 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: Management Skills

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

Section 16: 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 17: 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 finance, economics, business, mathematics, Artificial Intelligence, or technology 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, professional-recognition, or regulated-finance requirements that apply to their goals.

The program does not state that it awards the CFA designation or any other professional license. Applicants interested in professional finance credentials should verify the separate requirements of the relevant awarding body.

Financial Market Analyst

A Financial Market Analyst studies market behavior, economic indicators, investment trends, financial instruments, and potential risks.

The role may involve reviewing market data, preparing forecasts, interpreting macroeconomic developments, analyzing securities, and communicating findings to investors or management.

The program supports this profile through investment management, capital markets, macroeconomic indicators, data analysis, AI for Finance, corporate finance, and decision-making.

AI tools may help analysts process information, identify patterns, or compare scenarios. However, forecasts remain uncertain, and professionals must apply critical judgment and communicate limitations clearly.

Portfolio Manager

A Portfolio Manager is responsible for managing investments on behalf of an organization or individual.

The role may include asset allocation, security selection, risk monitoring, performance review, client communication, and investment-policy implementation.

The program supports this career direction through investment vehicles, asset management, financial analysis, company valuation, macroeconomic indicators, futures and options, and AI for Finance.

AI may contribute to portfolio monitoring, scenario analysis, or data processing, but investment decisions still require suitable governance, professional judgment, and compliance with applicable regulations.

Financial Risk Specialist

A Financial Risk Specialist identifies, evaluates, and monitors risks that may affect an organization’s financial position.

The role may include market risk, liquidity risk, credit risk, operational risk, investment risk, and reporting.

The Double Master supports this profile through corporate finance, accounting, working capital, net debt, data analysis, probability, AI, decision-making, and digital transformation.

Investment Analyst

An Investment Analyst researches investment opportunities and prepares recommendations.

Responsibilities may include financial-statement analysis, valuation, market research, due diligence, industry review, and investment modeling.

The program supports this role through investment vehicles, capital markets, corporate finance, accounting, due diligence, and AI for Finance.

Applied AI Specialist in Finance

An Applied AI Specialist in Finance focuses on implementing or supporting AI solutions in investment analysis, portfolio management, financial reporting, customer service, risk assessment, or operational processes.

The role may involve collaboration with finance professionals, analysts, data teams, technology vendors, legal advisors, and senior management.

The program provides a business and finance context for this role through AI for Business, financial markets, data analysis, fintech, blockchain, accounting, and digital transformation.

Additional Career Directions

Graduates may also pursue roles such as:

• Asset Management Analyst
• Portfolio Analyst
• Equity Research Analyst
• Investment Consultant
• Financial Consultant
• Corporate Finance Analyst
• Valuation Analyst
• Due Diligence Analyst
• Treasury Analyst
• Financial Planning Analyst
• Fintech Consultant
• Blockchain Business Analyst
• Financial Data Analyst
• Banking Analyst
• Wealth Management Analyst
• Risk Analyst
• Investment Operations Specialist
• Fund Analyst
• Private Equity Analyst
• Venture Capital Analyst
• Financial Project Manager
• Digital Finance Consultant
• AI Finance Implementation Coordinator
• Business Strategy Analyst
• Entrepreneur

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

Skills Graduates May Develop

The program is designed to support skills in:

• Financial-market analysis
• Investment management
• Asset-management awareness
• Portfolio analysis
• Private equity and venture capital
• Investment-fund knowledge
• Capital-market understanding
• Macroeconomic analysis
• Futures and options
• Stock-market and trading awareness
• Corporate finance
• Company valuation
• Due diligence
• Financial-statement analysis
• Management accounting
• Working-capital analysis
• Financial-risk awareness
• Fintech and blockchain
• AI for Finance
• Data analysis and interpretation
• Statistical reasoning
• Strategic decision-making
• Leadership and communication
• Project management
• Digital transformation
• Business planning
• Ethical and regulatory awareness