[ 986CABUMS1S19 ] SE MS1: Analytical skills

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Business Administration Sophie Parragh 1 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites KS BC2: Induction: Team development UND KS BC1: Foundations of management UND KS BC3: Foundations of management science
Original study plan Master's programme Leading Innovative Organizations 2022W
  • Students understand the basic techniques of using data
  • They learn to approach decision problems in a structured way
  • They are familiar with the basics of forecasting, modeling, and optimization
Subject Introduction to business analytics, probability, decision analysis, forecasting, linear and discrete optimization, using examples from operations and supply chain management and other areas.
Criteria for evaluation Pre-readings (10%) Homework (40%), Exam(s) (40%), Class participation (10%)
Methods Lectures, discussion, groupwork
Language English or German
Study material Bertsimas, Dimitris, and Robert Freund. Data, Models, and Decisions: The Fundamentals of Management Science. Dynamic Ideas, 2004. ISBN: 9780975914601.

Pointers to additional reading material will be provided during the course

Changing subject? No
Further information Alternativangebot in deutscher Sprache möglich
On-site course
Maximum number of participants 20
Assignment procedure Direct assignment