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Lighting up steering or exploring the data
Both programmes handle tables, indicators and visualisations. One puts them at the service of regular steering and of leadership deciding every month. The other puts them at the service of exploration and modelling. Here are the levels, volumes and fees of both.
The same material, two uses
Business intelligence organises the data a company already produces so that leadership can see clearly: warehouse, dimensional model, indicators, dashboards, steering rituals. Its deliverable is a reliable, refreshed and shared view. Data science starts from an open question and goes looking for the answer in the data: experimental design, statistical modelling, machine learning, communication. Its deliverable is a defensible inference.
The proof each one awards
Business Intelligence and Steering
Bachelor's degree. 7 blocks, 1200 supervised hours, 120 credits. 5 000 000 GNF per year.
Data Science programme — Bac+5 level
Master's degree. 8 blocks, 1200 supervised hours, 120 credits. 7 200 000 GNF per year.
Two levels, two grounds
| Criterion | Business Intelligence and Steering | Data Science programme — Bac+5 level |
|---|---|---|
| Register | Bachelor's degree | Master's degree |
| Host school | Business School | Artificial Intelligence |
| Duration | 2 years | 2 years |
| Credits | 120 credits | 120 credits |
| Supervised hours | 1200 h | 1200 h |
| Weekly workload | 20 h per week | 20 h per week |
| Fees | 5 000 000 GNF per year | 7 200 000 GNF per year |
Where each one takes you
Business Intelligence and Steering
- Business intelligence analyst
- Reporting and steering officer
- Junior management controller
- Dashboard developer
Data Science programme — Bac+5 level
- Data scientist
- Data analyst
- Data engineer
- Statistical research officer
The criterion that decides for you
- A dashboard expected monthly by leadership: business intelligence
- An open question to settle by measurement: data science
- Your current entry level: the table gives both registers targeted
- Business intelligence first, data science next, forms a solid progression
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