Checking date: 16/05/2024

Course: 2024/2025

Financial Technology
Master in Financial Sector Technologies: FinTech (Plan: 461 - Estudio: 313)

Coordinating teacher: GARCIA OLAYA, ANGEL

Department assigned to the subject: Computer Science and Engineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
Basic knowledge of Java Programming
This course has two main objectives: first, it provides a comprehensive understanding of the tools and technological platforms that are transforming the financial sector, including blockchain, low latency, and cloud technologies. Second, it aims to equip students with practical skills to apply these technologies to solve financial problems and enhance the efficiency of existing systems.
Skills and learning outcomes
Description of contents: programme
1- Market latency and latency metrics. 2- Low latency buses 3- Last-mile messaging 4- Memory grids 5- Messaging and data exchange protocols 6- Serialization of messages 7- Market protocols 8- CEP 9- Cloud 10- Blockchain 11- Trading systems
Learning activities and methodology
AF1: Lectures: supported by digital materials (100% classroom) AF3: Practical lectures: combination of lectures and exercises (100% classroom) AF5: Mentoring: both at the office or on-line (video-conference) (100% classroom) AF2: E-learning: Forum, videos and other (0% classroom) AF7: Student's individual work: autonomous work performed by the student, including exam preparation (0% classroom) Teaching methodologies: MD1: Theoretical lectures, supported with audiovisual material, to develop the main concepts of the subject and provide the students with the required bibliography to guide their self-study. MD2: Reading of suggested texts (newspaper articles, reports, operation manuals and/or research papers) to be discussed at class or to consolidate/extend the acquired knowledge. MD3: Solving practical cases, problems, etc. both individually or in groups. MD4: Oral presentations and discussions in class under teacher moderation. MD5: Development of reports or written works, both individually or in groups. MD6: E-learning activities, related to the blended nature of the degree.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

Calendar of Continuous assessment

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