Kursen ingår i dessa läroplaner och studiehelheter
Kursens undervisningsperiod
- 1 (2019-08-01 till 2019-10-27)
- 2 (2019-10-28 till 2019-12-31)
Nivå/kategori
Undervisningsspråk
Engelska
Kurstyp
Valfri
Cykel/nivå
Högre yrkeshögskoleexamen
Rekommenderat studieår
2
Omfattning
5 sp
Kompetensmål
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
Läranderesultat
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
Innehåll
(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
Förkunskaper
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.
Litteratur
Recommendations for related readings shall be made
throughout the course.
Studieaktiviteter
- Föreläsningar - 25 timmar
- Självstudier - 110 timmar
Arbetsbelastning
- Kursens totala antal arbetstimmar: 135 timmar
- Varav självstyrda studieformer: 135 timmar
- Varav schemalagda studier: 0 timmar
Undervisningsform
Närundervisning
Examinationsformer
Essä, rapporter, produktioner och portfolio
Examinationskrav
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
Lärare
Pehrsson Patrik
Examinator
Stenius Minna
Kursens hemsida
Antal kursplatser
Ingen begränsning (16 studenter anmälda)
Delprestation i kraft till
12 månader efter kursens slutdatum
Kursanmälningstid
2019-08-12 till 2019-09-08
Examinationsformer
Datum meddelas senare - Rapporter och produktioner
Datum | Tid | Rum | Titel | Beskrivning | Organisatör |
---|---|---|---|---|---|
2019-10-03 | 16:30 - 20:00 | B328 | Data and analytics for Fintech | Pehrsson Patrik | |
2019-10-04 | 16:30 - 20:00 | B328 | Data and analytics for Fintech | Pehrsson Patrik | |
2019-10-09 | 16:30 - 20:00 | B328 | Data and analytics for Fintech | Pehrsson Patrik | |
2019-10-24 | 16:30 - 20:00 | B328 | Data and analytics for Fintech | Pehrsson Patrik | |
2019-10-25 | 16:30 - 20:00 | B328 | Data and analytics for Fintech | Pehrsson Patrik | |
2019-10-26 | 09:30 - 16:00 | B328 | Data and analytics for Fintech | Pehrsson Patrik |