| Modality | Blended |
|---|---|
| Duration | 4 Weeks |
| Language | Spanish |
| Places available | 30 |
| Credits | 5-ECTS |
| Start Date | 04 November 2026 |
| Schedule | Wednesday from 6:30pm to 9:30pm and Saturday from 9am to 2pm |
| Location | Barcelona |
The Artificial Intelligence Applied to Finance Course offers a strategic, practical and structured approach to integrating Artificial Intelligence into corporate finance and investment management. The programme combines robust financial foundations with real-world AI applications designed to generate measurable value across key areas such as company valuation, financial modelling, risk management, corporate decision-making, and investment strategy optimisation.
This course is specifically designed for professionals seeking to drive the adoption of AI within Corporate Finance by transforming data into financial intelligence and developing the ability to identify high-impact opportunities, automate complex analyses, and improve the accuracy of strategic decision-making.
Artificial Intelligence applied to Finance refers to the use of data models, predictive algorithms and machine learning techniques to optimise processes such as:
- Business valuation and automated financial modelling
- Predictive analytics applied to corporate finance
- Scenario simulation and strategic decision support
- Optimisation of capital structures and risk management
- Investment analysis and algorithmic trading
- Intelligent portfolio management and backtesting using real market data
The programme not only focuses on understanding the technology itself, but also on identifying where AI can create value in finance, how to assess viable use cases, and how to implement solutions capable of delivering measurable improvements in efficiency, analytical precision and competitive advantage.
Throughout the programme, participants will learn:
- How to apply AI to business valuation and financial analysis in order to automate processes and reduce operational errors.
- How to use predictive models and simulations to anticipate scenarios and enhance corporate decision-making.
- How to integrate AI tools into investment analysis, trading, and portfolio optimisation.
- How to identify genuine opportunities for applying Artificial Intelligence in finance and transform them into high-impact business initiatives.
- The pedagogical design combines conceptual understanding with practical application, enabling participants to consolidate their learning through case studies, machine learning valuation models, scenario simulations, backtesting using real market data, and workshops focused on solving real financial challenges.
- The Course in Artificial Intelligence Applied to Finance (5 ECTS) forms part of the Artificial Intelligence training pathway at La Salle-URL, which also includes the Programme in Artificial Intelligence in Business (15 ECTS), a University Expert qualification awarded by Ramon Llull University.
