Informazioni pratiche per la comunità USI

Piano degli studi Master in Financial Technology and Computing (MFT)

Questa pagina contiene informazioni destinate agli studenti già immatricolati.

Per informazioni generali sul Master, dedicate a tutti gli interessati, vi preghiamo di visitare la pagina:

www.usi.ch/mft

 

Piano degli studi Master in Financial Technology and Computing (MFT)

Il piano degli studi (o anche "piano di studio" o "piano dei corsi") del Master in Financial Technology and Computing (MFT) contiene le indicazioni sulla struttura del percorso formativo.

Il contenuto è disponibile solo in lingua inglese.

 

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  • Study plan 2019-2021

    The study plan for students matriculated in academic year 2019/20 is available at the following page:

    www.usi.ch/en/education/master/financial-technology-and-computing/structure-and-contents

     

     

  • Study plan 2018-2020

    Study plan of the Master in Financial Technology and Computing - curriculum 2018-2020

     

    First semester

    ECTS

    Core Courses

    Distributed Systems 

    6

    Financial Econometrics**

    6

    Financial Modelling**

    6

    High-Performance Computing

    6

    Investments

    6
       

    Second semester

    ECTS

    Core Courses

     

    Data Analytics

    6

    Information Security

    6

    Risk Management**

    6

    Software Quality & Testing

    6

    Electives (6)

     

    Derivatives** (required for "Advanced Derivatives") 

    6

    Financial Intermediation

    6
       

    Third semester

    ECTS

    Core Courses

    Artificial Intelligence 

    3

    Blockchains – Protocols and Techniques for Distributed Trust

    6

    FinTech Seminar

    3

    Master Thesis*

    6

    Electives (18/12)

     

    Informatics

     

    Distributed Algorithms

    6

    Mobile and Wearable Computing

    6

    Software Performance

    6

    Software Engineering

    6

    User Experience Design

    6

    Other courses from the Master programmes offered by the Faculty of Informatics

    Marketing Research

    6

    Finance

     

    Advanced Derivatives*/**

    3

    Financial Engineering*/**

    6

    Fixed Income Markets*/**

    6

    Other courses from the Master programmes offered by the Faculty of Economics

       

    Fourth semester

    ECTS

    Master Thesis (research or applied)*

    24/30

    Electives (6/0)

     

    Inform​atics

     

    Advanced Computer Architectures

    6

    Advanced Networking

    6

    Business Intelligence and Applications

    6

    Business Process Modeling, Management and Mining

    6

    Compiler Construction

    6

    Computer Aided Verification

    6

    Software Architecture

    6

    Software Atelier: Simulation, Data Science & Supercomputing

    6

    Economics

     

    Critical Consumer Behaviour

    6

    * The Master Thesis can be started in the 3rd semester.

    ** To obtain the SFI accreditation, students have to achieve 45 ECTS among these courses.

     

    Changes in the study plan may occurr. In case of discrepancies, or for any legal purpose, the study plan indicated by the Director of the Master or the Dean's office of the Faculty of Informatics shall prevail.

     

     

  • Study plan 2017-2019

    Study plan of the Master in Financial Technology and Computing - curriculum 2017-2019

     

    This full time programme stretches over two years. It allows students to personalize their study curricula according to their interests. The core skills are acquired in the first two semesters. The third semester is dedicated to more specialized courses and electives that can be chosen according to the students' preference. For example, students interested in an area such as cryptocurrencies take as electives Software Performance and Distributed Algorithms. Those with an interest in personalized finance (aka "Robo Advising") may instead take Banking, Corporate Finance, and Project Management, while those interested in Algo trading take Advanced Derivatives, Advanced Asset Pricing II, Fixed Income Markets, and Financial Engineering. In the fourth semester, students have a choice of completing their master thesis in a university research group, or a more applied thesis project in a company - both carried out in collaboration with the Fintech Laboratory.

     

    First semester - Autumn semester 2017/18 ECTS
    Core Courses
    Capital Markets** 6
    Financial Econometrics** 6
    Financial Modelling** 6
    Distributed Systems 6
    High-Performance Computing                                                                     6

     

    Second semester - Spring semester 2018 ECTS
    Core Courses
    Data Analytics 6
    Compilers 6
    Information Security 6
    Risk Management**                                                                                     6

     

    Electives (6) ECTS
    Financial Intermediation 6
    Derivatives** (required for "Advanced Derivatives")                                    6

     

    Third semester - Autumn semester 2018/19 ECTS
    Core Courses
    Asset Pricing for Fintech* 3
    Financial Instruments & Technology*                                                           3
    Machine Learning* 6

     

    Electives (18) ECTS

    Informatics

    Advanced Networking* 6
    Distributed Algorithms* 6
    Enterprise Resource Planning* 6
    Mobile Computing* 6
    Software Performance* 6
    User Experience Design* 6
    Validation and Verification* 6
    Other courses from the Master programmes offered by the Faculty of Informatics
    Finance
    Advanced Derivatives*/** 3
    Asset Pricing II* 3
    Financial Engineering*/** 6
    Fixed Income*/** 6
    Marketing Research* 6
    Project Management* 3
    Other courses from the Master programmes offered by the Faculty of Economics

     

    Fourth semester - Spring semester 2019 ECTS
    Master Thesis (research or applied)*                                                           30

    * This course will not be offered in the academic year 2017/18 for this master programme.

    ** To obtain the SFI accreditation, students have to achieve 45 ECTS among these courses.

     

    Changes in the study plan may occurr. In case of discrepancies, or for any legal purpose, the study plan indicated by the Director of the Master or the Dean's office of the Faculty of Informatics shall prevail.

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Aggiornato al: 24/10/2019