Data Analytics and Decision-Making

About This Course

This module provides advanced knowledge about the structure and analysis of large amounts of data and how this is to be used in decision-making processes. Students learn the difference between descriptive, diagnostic, predictive and prescriptive analytics and their application in business contexts. In the module, theoretical concepts and approaches of objective analysis and decision-making are covered.

Learning Objectives

• Acquire subject-specific theoretical and methodological knowledge.
• Understand the possibilities and limitations of data analytics.
• Are able to assess, compare and apply different methods of analysis.
• Practice objective analysis of large amounts of data and decision-making.
• Learn how to critically discuss completed tasks.
• Acquire the ability to select and implement appropriate solution concepts and strategies to a given problem.

Study Programs

This course is mandatory for the following study programs.

• MBA Digital Technologies
• MBA Digital Transformation

This course is offered as an elective for the following study programs.

• M.Sc. Applied AI
• M.Sc. Cybersecurity
• M.Sc. Advanced Digital Reality
• M.Sc. Digital Leadership

Micro Degree

• This course is offered as a micro degree.
• German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.
• Micro Degrees will be rewarded with an equivalent of 5 ECTS.
• Micro Degrees are offered to non-regular students and require a fee of €900.

Requirements

None

General Information

• Teaching Format: Knowledge Essential
• Total Workload Master: 125h (40h/85h) / 5 ECTS
• Total Workload MBA: 100h (30h/70h) / 4 ECTS
• Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS
• Module coordinator: Prof. Dr. Katya Artemova
• Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.
• Offered: Odd quarters