The course is included in these curricula and study modules

The course takes place in period

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

Level/category

Professional studies

Teaching language

English

Type of course

Compulsory

Cycle/level of course

Second

Recommended year of study

1

Total number of ECTS

5 cr

Competency aims

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

Learning outcomes

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

Prerequisites and co-requisites

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

Previous course names

Fintech and Data Analytics

Study activities

  • Lectures - 25 hours
  • Individual studies - 110 hours

Workload

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

Mode of Delivery

Participation in tuition

Assessment methods

Essays, reports, productions and portfolio

Examiner

Tigerstedt Christa

Home page of the course

Group size

No limit

Assignments valid until

12 months after course has ended

The timetable of the course

P3, partially online. First part on campus.

Course enrolment period

2023-11-24 to 2023-12-22

Assessment methods

Date will be announced later - Reports and productions

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