MB-2-022 (0) - Artificial Intelligence

• 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
• International business management 2022 (part-time) - Business development, digitalisation and fintech - specialised professional studies
• International business management 2022 (full-time) - Business development, digitalisation and fintech - specialised professional studies
• International business management 2023 (full-time) - Business development, digitalisation and fintech - specialised professional studies
• International business management 2023 (part-time) - Business development, digitalisation and fintech - specialised professional studies

4 (2024-03-18 till 2024-07-31)

Engelska

Obligatorisk

Högre yrkeshögskoleexamen

1

5 sp

In this study unit the focus will for you to build
the following competences:
- Competence in digital transformation of the
business landscape
- Competence in the foundations for AI & machine
learning, analytics

After completing the study unit, you:
- can discuss new business models and business
activities that emerge through changes in
legislation and the introduction of new
technologies.
- understand the opportunities created by AI and
machine learning
- understand the limitations of AI and machine
learning
- understand how AI and machine learning can be
utilized to develop existing processes and build
new business models

A bachelor degree and at least two years work
experience gained after completing the higher
education degree.

Fintech and Data Analytics

• 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

Tigerstedt Christa

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

Ingen begränsning

12 månader efter kursens slutdatum

P3, partially online. First part on campus.

2023-11-24 till 2023-12-22

Datum meddelas senare - Rapporter och produktioner