Duration
30h Th
Number of credits
| Master in management, professional focus in general management (H.D.) | 5 crédits | |||
| Master in management (60 ECTS) (evening classes) | 5 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The Business Analytics course offers a dual approach:
Business Analysis: identification and modeling of business problems (Business Process Modeling, Ishikawa, Pareto, 5 Whys, matrices, etc.) in order to develop a structured problem-solving approach.
Business Analytics: the data lifecycle (collection, preparation, modeling, interpretation) and an introduction to the different forms of analytics (descriptive, diagnostic, predictive, prescriptive).
+
Hands-on practice with Power BI: building interactive dashboards to translate analyses into decision-making tools.
Learning outcomes of the learning unit
By the end of the course, students will be able to:
- Model a business process and identify its inefficiencies.
- Apply problem-solving methods (Ishikawa, Pareto, matrices).
- Explain the data lifecycle and the stages of analytics.
- Build an interactive dashboard in Power BI.
- Interpret and communicate analytical results in a decision-making context.
Prerequisite knowledge and skills
- Basic knowledge of office software (Excel).
- Familiarity with data management and analysis is an asset, but the course is accessible to students from diverse backgrounds.
- A passive understanding of English is required (course materials are in English).
Planned learning activities and teaching methods
- Interactive lectures for key concepts.
- Practical work: 2 in-person Power BI sessions with progressive exercises.
- Case studies: process modeling and problem analysis.
- Hybrid learning: theoretical capsules and online exercises (e-learning, Wooclap/Forms quizzes).
Mode of delivery (face to face, distance learning, hybrid learning)
Blended learning
Further information:
The course is organized into 7 sessions of 4 hours (including 2 extended sessions until 2 p.m.) :
- Session 1 : Course introduction and Business Analysis. Process modeling workshop (flowchart).
- Session 2 : Problem-solving tools (Ishikawa, Pareto, 5 Whys, matrices) and guided exercises.
- Session 3 : Introduction to Business Analytics and the data lifecycle. Mini-case practice.
- Session 4 : Deep dive: data quality, basic models, and independent exercises.
- Session 5 : Power BI (1) - getting started, simple modeling, basic charts. Guided exercises.
- Session 6 : Power BI (2) - building a complete dashboard and interpreting results.
- Session 7 : Synthesis and exam preparation. Integrative exercise combining flowchart, data analysis, and Power BI.
Course materials and recommended or required readings
Platform(s) used for course materials:
- LOL@
- Microsoft Teams
Further information:
The course materials (slides, readings, exercises, complementary resources) will be made available to students before each session on Lol@.
The solutions and answer keys will be provided after the corresponding session, allowing students to practice independently before checking their understanding.
The materials are in English, while the teaching will be delivered in French.
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Further information:
The exam will take place on campus, in a computer lab, and will account for 100% of the final grade.
Work placement(s)
Not applicable