Inhalt

[ 055FSIBBAIK24 ] KS Business Analytics and Artificial Intelligence

Versionsauswahl
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Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS (*)W_AOM1 - (*)Weiterbildung AOM 1. Jahr Business Administration Robert Breitenecker 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)Keine
Original study plan Non-Degree Master's programme Executive MBA Management & Leadership 2024W
Objectives The aim of the course is to expand students' knowledge, skills and competences in the field of business analytics and artificial intelligence.
Subject The students...

... have a basic understanding of business analytics and know the most important business analytics methods and their possible applications.

... have a basic understanding of artificial intelligence and know the most important AI applications and their possible uses.

... are able to reflect on fields of application and use cases of various approaches to business analytics and artificial intelligence from different industries in relation to their own company.

... are able to assess the potential, challenges and limitations of big data, business analytics and artificial intelligence for their own company.

... have the skills to collect, analyze and interpret data in order to support decision-making processes in companies and validate decisions.

  • Fundamentals and use cases of big data and artificial intelligence
  • Business analytics methods
  • Data-driven decision-making
Criteria for evaluation
Changing subject? No
On-site course
Maximum number of participants -
Assignment procedure Assignment according to priority