Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


Credits: 3

Schedule: 28.10.2020 - 02.12.2020

Teacher in charge (applies in this implementation): Ruth Kaila

Contact information for the course (applies in this implementation):

CEFR level (applies in this implementation):

Language of instruction and studies (applies in this implementation):


  • Applies in this implementation:

    The aim of the course is that the students would get both 

    • a generic idea of the multiple possibilities of the new technologies used in the financial sector, and to 
    • a basic understanding of some of these technologies

    The topics are: Fintech, Cryptocurrencies, High-frequncy trading, Machine-Learning, Cybersecurity, and Quantum computing. 

    Please note: As each topic will be considered during one lecture of 90 minutes, we cannot go very deep in the details of any technology. This is not a course for someone who wants to study thoroughly any of the technologies mentioned above. 

Assessment Methods and Criteria
  • Applies in this implementation:

    1 credit version: a lecture diary (6 one-pagers)

    3 credit version: a lecture diary (6 one-pagers) and an essay on a freely chosen topic

    5-6 credit version: a lecture diary (6 one-pagers), an essay on a freely chosen topic, and a Machine learningn assignment


Study Material
  • Applies in this implementation:

    Lecture slides, additional reading