MB-2-022 (0) - Fintech and Data Analytics

• International business management - a nordic focus 2016 - Financial technology (fintech)
• International business management 2017 - Financial technology (fintech)
• International business management 2019 - Financial technology (fintech)
• International business management 2020 (part-time) - Financial technology (fintech)
• International business management 2020 (full-time) - Financial technology (fintech)
• International business management 2021 (full-time) - Business development, digitalisation and fintech - specialised professional studies
• International business management 2021 (part-time) - Business development, digitalisation and fintech - specialised professional studies

4 (2022-03-14 to 2022-07-31)

English

Compulsory

Second

1

5 cr

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 two 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.

Data and Analytics for Fintech

Recommendations for related readings shall be made
throughout the course.

• Lectures - 25 hours
• Individual studies - 110 hours

• Total workload of the course: 135 hours
• Of which autonomous studies: 135 hours
• Of which scheduled studies: 0 hours

Participation in tuition

Essays, reports, productions and 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

Aspholm Ingalill

Nyman Henrik

https://arcada.itslearning.com/ External link

No limit (16 students enrolled)

12 months after course has ended

2021-12-20 to 2022-03-13

Date will be announced later - Reports and productions