MB-2-022 (0) - Data and analytics for Fintech

• International business management - a nordic focus 2016 - Financial technology (fintech)
• International business management 2017 - Financial technology (fintech)
• International business management 2018 - Financial technology (fintech)
• International business management 2019 - Financial technology (fintech)

4 (2020-03-23 till 2020-07-31)

Engelska

Valfri

Högre yrkeshögskoleexamen

2

5 sp

The course aims to strengthen and evaluate the
following skills and knowledge:

Knowledge of the subject matter,
Analytical skills for trend analysis and scenario
forecasting,
Drafting/writing skills of reports,
Project planning skills,
Project delivery skills,
Review/feedback skills,
Teamwork skills,
Presentation skills

At the end of the course the student
is expected to be able to:
Be equipped with the foundations to participate
in FinTech dialogues in the industry regarding
Data&Analytics. This requires the student to
understand and be able to explain the concepts
surrounding Data&Analytics (e.g. BigData, Machine
Learning, Artificial Intelligence etc.)
Identify through analysis implications of
Data&Analytics for the future in terms of:
Opportunities and risks as a professional
Opportunities and risks for the industry e.g.
technology entrepreneurs, banks, corporates,
financial regulators
Derive recommendations and actions for the
industry impacted by Data&Analytics e.g.
technology entrepreneurs, banks, corporates,
financial regulators

(1) The lectures integrate seminar sessions with
guest speakers to get an overview as viewed from
the perspective of the financial industry,
regulators, startups, investors and academia.
(2) Case study elaboration and presentation: in-
class and autonomous activities

A bachelor degree;
At least three years work experience gained after
completing the higher education degree;
Deep interest in financial technology;
A technology background is not a hard
prerequisite for this course.

Recommendations for related readings shall be made
throughout the course.

• Föreläsningar - 25 timmar
• Självstudier - 110 timmar

• Kursens totala antal arbetstimmar: 135 timmar
• Varav självstyrda studieformer: 135 timmar
• Varav schemalagda studier: 0 timmar

Närundervisning

Essä, rapporter, produktioner och portfolio

To pass the course the student should:
- actively participate in seminar sessions by
asking questions and sharing relevant experience
- successfully complete the assignment (case-
study) work by enriching formal contents with
personal experience and practical knowledge

Pehrsson Patrik

Stenius Minna

https://arcada.itslearning.com/ Extern länk

Ingen begränsning (19 studenter anmälda)

12 månader efter kursens slutdatum

2020-03-09 till 2020-04-05

Datum meddelas senare - Rapporter och produktioner