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Study plan of the Master in Financial Technology and Computing (MFT)
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For general information on the Master, please refer to:
Study plan of the Master in Financial Technology and Computing (MFT)
The study plan (also study programme or study curriculum) of the Master includes information on the structure of the programme.
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Study plan 2022-2024
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 student's 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.
Track Advanced Informatics: for students with Bachelor's degree in Computer Science or related disciplines (eg. Computer Engineering).
Track Core Informatics: for students with Bachelor's degree in any other subject (see admission requirements).First Semester
Core Courses (18 ECTS)
6 6 6 Advanced Informatics (12 ECTS)
6 6 Core Informatics (6 ECTS)
6 6 Total ECTS
30 Second Semester
Core Courses (18 ECTS)
3 6 6 3 Advanced Informatics track (6 ECTS)
6 Core Informatics (6 ECTS)
6 Elective Courses (6 ECTS)
Derivatives* (required for "Advanced Derivatives")
6 6 Total ECTS
30 Third Semester
Core Courses (12 ECTS)
6 6 Advanced Informatics (6 ECTS)
6 Core Informatics (6 ECTS)
6 Elective Courses (12 ECTS)
Informatics
6 6 6 6 6 Finance
Advanced Derivatives*
3 3 6 6 3 3 3 Total ECTS
30 Fourth Semester
Capstone Work (30 ECTS)
Master Thesis** (research or applied)
30 Elective Courses (6 ECTS)
Informatics
6 6 Software Atelier: Simulation, Data Science & Supercomputing
6 Economics
6 Total ECTS
30 Total ECTS
120 * To obtain the SFI accreditation, students have to achieve 45 ECTS among these courses.
** The Master Thesis can be started in the 3rd semester.Please be aware that slight changes in the study programme may occur.
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Study plan 2021-2023
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 student's 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.
Track Advanced Informatics: for students with Bachelor's degree in Computer Science or related disciplines (eg. Computer Engineering).
Track Core Informatics: for students with Bachelor's degree in any other subject (see admission requirements).First Semester
Core Courses (18 ECTS)
6 6 6 Advanced Informatics (12 ECTS)
6 6 Core Informatics (6 ECTS)
6 6 Total ECTS
30 Second Semester
Core Courses (18 ECTS)
3 6 6 3 Advanced Informatics track (6 ECTS)
6 Core Informatics (6 ECTS)
6 Elective Courses (6 ECTS)
Derivatives* (required for "Advanced Derivatives")
6 6 Total ECTS
30 Third Semester
Core Courses (12 ECTS)
6 6 Advanced Informatics (6 ECTS)
6 Core Informatics (6 ECTS)
6 Elective Courses (12 ECTS)
Informatics
6 6 6 6 6 Finance
3 3 6 Financial Engineering
6 3 3 3 Total ECTS
30 Fourth Semester
Capstone Work (18 ECTS)
Master Thesis Preparation
6 Master Thesis*** (research or applied)
24 Elective Courses (6 ECTS)
Informatics
6 6 6 Economics
6 Total ECTS
30/36 Total ECTS
120 * To obtain the SFI accreditation, students have to achieve 45 ECTS among these courses.
** The course is offered in the Spring Semester in the A.Y. 2021/22.
*** The Master Thesis can be started in the 3rd semester.Please be aware that slight changes in the study programme may occur.
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Study plan 2020-2022
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
ECTS Core Courses
6 6 6 6 6 Second semester
ECTS Core Courses
Blockchains and Digital Currencies
3 6 6 6 3 Electives (6)
Derivatives* (required for "Advanced Derivatives")
6 6 Third semester
ECTS Core Courses (12)
6 6 Core Electives (6)
3 Distributed Algorithms II - Protocols and Techniques for Blockchains
3 6 Electives (12)
Informatics
6 6 6 6 6 Finance
3 6 6 6 3 3 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)
Informatics
6 6 6 Economics
6 * To obtain the SFI accreditation, students have to achieve 45 ECTS among these courses.
** The Master Thesis can be started in the 3rd semester.Please be aware that slight changes in the study programme may occur.
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Study plan 2019-2021
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
ECTS Core Courses
Distributed Systems
6 Data Analytics for Finance I & II
6 Financial Econometrics*
6 High-Performance Computing
6 Investments*
6 Second semester
ECTS Core Courses
Blockchains and Digital Currencies
3 Information Security
6 Risk Management*
6 Software Quality & Testing
6 Trading and Market Microstructure
3 Electives (6)
Derivatives* (required for "Advanced Derivatives")
6 Financial Intermediation*
6 Third semester
ECTS Core Courses (12)
6 6 Core Electives (6)
3 Distributed Algorithms II - Protocols and Techniques for Blockchains
3 6 Electives (12)
Informatics
6 6 6 6 6 Finance
3 6 6 6 3 3 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)
Informatics
6 6 6 Economics
6 * To obtain the SFI accreditation, students have to achieve 45 ECTS among these courses.
** The Master Thesis can be started in the 3rd semester.Please be aware that slight changes in the study programme may occur.
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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
3 Blockchains – Protocols and Techniques for Distributed Trust
6 3 6 Electives (18/12)
Informatics
6 6 6 6 6 Other courses from the Master programmes offered by the Faculty of Informatics
Marketing Research
6 Finance
3 6 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)
Informatics
6 6 6 6 6 6 6 6 Economics
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.
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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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Updated on: 12 July 2023
