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Master's in Corporate Finance and AI-Driven Decision Automation

Format:  100% online with simulations and weekly challenges applied to real professional environments.

Duration: 24 weeks of intensive training + 8 weeks for a final project with measurable results.

  • Next intake: August and September
  • Apply by August 30 to receive priority consideration for job opportunities.

Redesign your company's economic decisions with intelligent financial architecture

Advanced education for professionals seeking to transform analytical models by integrating automation, strategic analysis, and scalability.
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Why pursue the Master's in Corporate Finance and AI-Driven Decision Automation?

Competitive advantage in demanding markets

This master's program strengthens your profile as a global financial strategist, increasing your employability in consulting firms, holding companies, corporate banking, and emerging decentralized structures where financial intelligence is essential.

A deeper transformation in decision-making

Learn to integrate complex variables and multiple scenarios in real time using financial algorithms, optimizing corporate decisions with a strategic, agile, and predictive approach.

Financial evaluation models with an exponential perspective

Master systems for evaluating investments, risk, and capital structures by combining traditional financial principles with data-driven automation, behavioral prediction, and projected cash flows.

SCRIVAI learning environment illustrating the integration of technology and advanced pedagogy for the Master’s in Cognitive Teaching with AI.

Integrate automation, deep analysis, and high-impact strategic decisions.

Structure of the Master's in Corporate Finance and AI-Driven Decision Automation

This master's program is designed for professionals who want to master corporate finance from a strategic, automated, and global perspective. Each module combines technical analysis with advanced artificial intelligence tools, enabling you to make financial decisions with an integrated perspective and international scalability.

Throughout the program, you will address real challenges in corporate, banking, and investment contexts, culminating in an automated strategic project.

I want to start my Master's!

Master's in Corporate Finance and AI-Driven Decision Automation

Automate financial decision-making with precision, real data, and scalable architecture.

Every challenge placed me in real scenarios. I now use AI to automate financial decisions and optimize revenue across multiple business units.

Gabriel Ortiz LATAM Sales Leader – EdTech

Every challenge placed me in real scenarios. I learned to interpret financial data with AI and make more precise real-time decisions for my clients.

María Fernanda Ruiz Project Manager – Strategic Consulting

Every challenge placed me in real scenarios. I learned to understand the financial impact of each strategic decision and optimize budgets using AI-based predictive models.

Alejandra Santamaría Head of Talent – Multinational Retail Company

Every challenge placed me in real scenarios. Today I design automated financial-analysis systems and reduce operational risk with greater accuracy and speed.

Andrés Salas Innovation Coordinator – Financial Sector

Curriculum for the Master's in Corporate Finance and AI-Driven Decision Automation

Academic structure focused on the real-world application of high-ticket strategies using artificial intelligence tools and measurable outcomes

Module 1. Strategic Financial Diagnosis and Algorithmic Analysis

• Interpretation of financial statements with a predictive perspective

• Analysis of loss areas and opportunity margins

• Intelligent financial scenarios with applied AI
Applied challenge for Module 1: Conduct a complete financial diagnosis with projections based on algorithms adapted to the business's real behavior.

Module 3. Algorithmic Pricing, Profitability, and Cost Management

• Cost structure and automated analysis

• AI-driven price optimization and demand simulation

• Profitability assessment by business unit and channel
Applied challenge for Module 3: Redesign pricing and profitability strategy using advanced simulations of economic behavior.

Module 5. Corporate Governance and Automated Financial Control

• Algorithm-based financial auditing

• Compliance, traceability, and algorithmic ethics

• Autonomous financial-management control systems
Applied challenge for Module 5: Implement an automated financial-control system that supports compliance and scalability.

Module 2. Cash-Flow Automation and Intelligent Treasury Management

• Systems integration for financial traceability

• Automation of flows, alerts, and operational decisions

• Predictive financial control and liquidity management
Applied challenge for Module 2: Build an intelligent treasury system capable of detecting and preventing financial bottlenecks.

Module 4. Investment, Risk, and Automated Financing Models

• Evaluation of investment projects using augmented metrics

• Predictive risk models and AI-assisted credit decisions

• Strategic corporate financing with automation
Applied challenge for Module 4: Design a complete investment model integrating risk, profitability, and intelligent financing.

Module 6. Autonomous Financial Architecture with Applied AI

• Integration of previous modules into an operational ecosystem
• Decision-making scenarios using real data
• Assessment of sustainability, scalability, and profitability
Final challenge: Build an intelligent financial architecture capable of automating strategic decisions, detecting errors in real time, and generating sustainable competitive advantages.

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Our programs combine the best of human talent and AI to create a curriculum that evolves with you

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What questions do you have?

Find key answers about the program

How is a SCRIVAI master's program different from a traditional university program?

Our master's programs are not based on outdated theory. From the first module, you work through real challenges, combining human and artificial intelligence to make decisions as you would in the professional world.

Do I need prior knowledge of artificial intelligence?

No. Each master's program is designed for professionals from any discipline. We guide you from the fundamentals to applied AI use in your field, with a practical and personalized approach.

Are the master's programs fully online?

Yes. All content is 100% online, but designed so you are never learning alone. You will have strategic support, access to simulations, guided projects, and an active executive community.

What does it mean that the master's programs are challenge-based?

You will not learn through theoretical exams. Each module includes real challenges that simulate executive decisions using AI tools. Learning is activated through action, not memorization.

What happens after I complete the master's program?

You receive one year of access to the SCRIVAI community: ongoing updates, résumé guidance, job opportunities, networking, and priority access to companies recruiting AI-skilled talent.

What supports these master's programs if SCRIVAI is not a traditional university?

SCRIVAI is an advanced education ecosystem backed by more than 15 years of experience in applied learning. We do not issue conventional degrees; we deliver demonstrable outcomes and real professional development.

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