Checking date: 15/05/2024

Course: 2024/2025

Master's Thesis
Master in Financial Sector Technologies: FinTech (Plan: 461 - Estudio: 313)

Coordinating teacher: FUENTETAJA PIZAN, RAQUEL

Department assigned to the subject: Computer Science and Engineering Department

Type: Master Final Project
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
The presentation of the TFM can be made once all the credits of the study plan have been obtained. Exceptionally, it may be possible to present it in the absence of finishing the Academic Practices in a Company.
The purpose of the Final Master's Thesis (TFM) is the realization, presentation and defense of an original work consisting of a project of analysis, design, development and evaluation related to some of the subjects in the study plan, under the direction of a academic tutor. The student must carry out an original project, memory, study or investigation in which the knowledge and skills acquired in the master's degree are projected, proposed or developed.
Description of contents: programme
The student will proceed to the realization, presentation and defense, once all the credits of the study plan have been obtained, of an original exercise carried out individually, in a public session with an university commitee. It is expected that the work is related to one of several subjects of the master's programme: 1. Mercados Financieros: asignaturas de Introducción a los Mercados Financieros, Regulación Financiera y Creación de Empresas Basadas en Tecnología en el Sector Financiero. 2. Tecnologías Aplicadas a los Mercados Financieros: asignaturas de Sistemas de Información, Tecnologías del Sector Financiero e Infraestructuras Tecnológicas. 3. Desarrollo de Software Financiero: asignaturas de Programación de Altas Prestaciones, Algoritmos de Front-Office, Algoritmos de Back-Office, Programación de Aplicaciones Móviles Financieras y Gestión e Ingeniería del Software Financiero. 4. Sistemas de Soporte a la Decisión en el Sector Financiero: asignaturas de Big Data, Sistemas de Soporte a la Decisión y Análisis de Datos.
Assessment System
  • % end-of-term-examination 100
  • % of continuous assessment (assigments, laboratory, practicals...) 0

Assessment Matrix
Additional information

The course syllabus may change due academic events or other reasons.