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Master in Data Science for Finance

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About this course

The Master in Data Science for Finance is aimed at both graduates in ADE, or FICO, and professionals who wish to specialize in the elements that make up the different institutions and in the technological mechanisms to assess fraud and risks thr...

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University degree

1500 h

Online

10 ECTS (Créditos)

Titulacion

Qualification of Master in Data Science for Finance

Multiple Qualifications:

  • Master's Degree in Data Science for Finance issued by the European Institute of Business Studies (INESEM)
  • University Degree in Banking and Investment Management Advisor issued by Universidad Antonio de Nebrija with 5 ECTS credits
  • University Degree in Blockchain issued by Universidad Antonio de Nebrija with 5 credits. ECTS
  • Instituto Europeo de Estudios Empresariales
Certificado Universidad Antonio de Nebrija

"Enseñanza no oficial y no conducente a la obtención de un título con carácter oficial o certificado de profesionalidad."

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Objectives

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To learn the elements that integrate the financial market and banking institutions.

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Develop banking products and their application.

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Learn about fintech companies and the evolution of technologies in financial institutions.

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Improve decision making through techniques applied to Data Science and Big Data.

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Development of the blockchain concept and its application in different sectors.

Why choose Master in Data Science for Finance?

In the digital era in which we live, the financial sector is undergoing a radical transformation driven by technology. Today more than ever, companies are looking for skilled professionals who can handle large volumes of data and turn it into valuable information for strategic decision making. If you are passionate about the world of finance and want to be at the forefront of this revolution, the Master in Data Science for Finance from Educa University is the opportunity you have been waiting for.

Why choose the Master in Data Science for Finance?

This graduate program has been designed to equip you with the necessary skills to become an expert in data analysis applied to the financial field. Throughout the master's degree, you will learn to use Machine Learning, predictive analytics and big data techniques, which are essential for any professional in the sector. The ability to analyze and forecast market trends through data can make the difference between success and failure in the financial world.

A practical and results-oriented approach

The Master's in Data Science for Finance is not only focused on theory; it focuses on the practical application of the knowledge acquired. From day one, you will be working on real cases that will allow you to put into practice what you have learned. This methodology prepares you to face the challenges of the job market, where not only technical knowledge is valued, but also the ability to solve problems and work in teams.

Complete academic program

The master's program is structured in modules that cover all the essential aspects of Data Science applied to finance. Here is a brief summary of the main modules:

Introduction to Data Science: You will understand the fundamentals of data analysis and its relevance in the financial sector.

Statistics and Probabilities: You will learn to apply statistical techniques that are key to the interpretation of financial data.

Machine Learning: You will delve into machine learning techniques and their application in the prediction of market behavior.

Big Data in Finance: You will study how to handle large volumes of data and the tools most commonly used in the industry.

Advanced Financial Analysis: You will learn to apply financial analysis techniques in massive data environments.

Financial Projects: Through integrative projects, you will be able to apply all the knowledge acquired in real situations.

Career opportunities

On completion of the master's degree, you will be prepared to work in various areas of the financial sector. You will be able to work in banking institutions, investment funds, consulting firms or even as a freelancer offering data analysis services. The opportunities are vast and the market is eager for trained professionals who know how to interpret data and generate strategies that improve the profitability of companies.

Student testimonials

There is no better way to know the quality of a program than through the experiences of those who have already gone through it. Many of our students highlight the practical training and personalized attention they receive during the master's program. "What impacted me the most was the amount of tools I learned to use and how to apply the knowledge in real cases," comments one of our graduates. This is proof that at Educa University we are committed to your professional success.

Flexibility and online mode

One of the great advantages of our Master's in Data Science for Finance is its online mode, which allows you to study at your own pace and combine it with your work or personal life. No matter where you are in the world, you will be able to access all the resources necessary for your training from any device with an internet connection. This flexibility offers you the possibility to adapt your learning to your needs.

Enrollment and requirements

To enroll in the master's program, you only need to meet certain basic requirements, such as having a university degree or experience in the financial field. Our admission process is simple and fast, ensuring that you can start your training as soon as possible.

Invest in your future

Investing in your education is one of the most important decisions you can make. By the end of the Master in Data Science for Finance, you will not only have acquired technical knowledge, but you will also have developed an analytical mindset that will allow you to face any challenge in your professional career. The financial world is constantly changing, and those who adapt and train in new technologies will be one step ahead.

Conclusion

The Master in Data Science for Finance at Educa University is your gateway to a promising future in the financial sector. With a solid academic program, a hands-on approach and the flexibility of online training, you'll have all the tools you need to become a leader in financial data analysis. Don't miss this opportunity and transform your career today!

Data Science for Finance is the perfect program for you!

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Content

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Methodology

Con nuestra metodología de aprendizaje online, el alumno comienza su andadura en INESEM Business School a través de un campus virtual diseñado exclusivamente para desarrollar el itinerario formativo con el objetivo de mejorar su perfil profesional. El alumno debe avanzar de manera autónoma a lo largo de las diferentes unidades didácticas así como realizar las actividades y autoevaluaciones correspondientes. La carga de horas de la acción formativa comprende las diferentes actividades que el alumno realiza a lo largo de su itinerario. Las horas de teleformación realizadas en el Campus Virtual se complementan con el trabajo autónomo del alumno, la comunicación con el docente, las actividades y lecturas complementarias y la labor de investigación y creación asociada a los proyectos. Para obtener la titulación el alumno debe aprobar todas la autoevaluaciones y exámenes y visualizar al menos el 75% de los contenidos de la plataforma. El Proyecto Fin de Máster se realiza tras finalizar el contenido teórico-práctico en el Campus. Por último, es necesario notificar la finalización del Máster desde la plataforma para comenzar la expedición del título.

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What does it prepare you for?

With the Master in Data Science for Finance you will achieve the necessary training that will help you to know the functioning of the entities that make up the financial system and to effectively develop the techniques and methods of application of Big Data and Data Science in their normal business activity, achieving the necessary skills to meet the demand generated, through new forms of valuation such as Credit Scoring.

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Who is it aimed at?

The Master in Data Science for Finance is aimed at both graduates in ADE, or FICO, and professionals who wish to specialize in the elements that make up the different institutions and in the technological mechanisms to assess fraud and risks through the collection of data required by these entities for the correct evolution of their activity.

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Career opportunities

With the Master in Data Science for Finance you will gain the necessary knowledge to develop your professional work as a consultant and analyst in the field of Data Science and Big Data in financial companies, risk analyst in credit institutions, member of the marketing department or in technical areas of companies that require a global vision of the business.

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