Program Overview

Business Analytics Program

Overview

The Business Analytics course explores why and how businesses can create value with data. The course objective is to familiarize students with the concept of creating value with data, based on understanding six basic areas for data-driven business insights.

Objectives

The course aims to teach students to think in terms of data use cases, breaking down the process of creating value with data into a structured sequence of actionable steps. These steps can be applied across all industries and all kinds of businesses, ranging from small "quick wins" to majorly transformational initiatives.

Teaching Mode

The course is taught in presence, with classes alternating between the introduction of theoretical material, in-class exercises, and case discussions. Students' class attendance must be at least 80%.

Examination Information

The final exam accounts for 50% of the grade, while the group presentation accounts for the remaining 50%.

Bibliography

• Compulsory:
  • Marr, Bernard. Data strategy. London: Kogan Page, 2017.
  • Taddy, Matt. Business data science. New York: McGraw-Hill Education, 2019.

Education

The Business Analytics course is part of the following programs:

• Master of Science in Economics in Management, Lecture, 1st year
• Master of Science in Management and Informatics, Lecture, Elective, 1st year
• Master of Science in Management and Informatics, Lecture, Elective, 2nd year

Additional Information

• Semester: Spring
• Academic year: Not specified
• ECTS: 3.0
• Language: English