Skills
Governing an organisation's data
Who owns a piece of data, who may read it, how long it is kept and where it is hosted: governance answers those four questions with written, applicable and auditable rules. It underpins any serious use of artificial intelligence.
Written rules, therefore applicable
An organisation knows how to govern its data the day it can answer, in one minute, the question: who is accountable for this data? Governance produces that answer — one owner per data domain, a sensitivity classification, a justified retention period, an owned hosting location. Those rules then make analysis and artificial intelligence projects possible, because they state upfront what may be done with what.
- Build a data inventory and appoint an owner for each domain
- Classify data by sensitivity and set the matching access rights
- Define justified retention periods and see them applied
- Decide on hosting in light of sovereignty and regulation
Where it is trained
Each row is a block from the official catalogue. The taught volume and the year of study are those of the filed programme, reproduced as they stand.
| Teaching block | Programme | Taught hours | Year |
|---|---|---|---|
| Data governance, protection and sovereignty | Data Science programme — Bac+5 level | 120 h | Year 2 |
| Governance and compliance | Applied AI for Business Certificate | 30 h | Year 1 |
| Ethics, bias and sovereignty | Artificial Intelligence programme — Bac+5 level | 100 h | Year 2 |
| Data and sovereignty | Digital Transformation Certificate | 40 h | Year 1 |
The volume behind the skill
You draft and secure adoption of an organisation's data governance policy, together with its control plan. These hours are taught: live sessions, workshops, output reviews and assessments.
- teaching blocks
- 4
- of taught instruction
- 290 h
- credits in total
- 29
- professional qualifications concerned
- 3
Catalogue rule: one credit is twenty-five hours of work, ten of them taught.
- Data Science programme — Bac+5 level
- 120 (41 %)
- Applied AI for Business Certificate
- 30 (10 %)
- Artificial Intelligence programme — Bac+5 level
- 100 (34 %)
- Digital Transformation Certificate
- 40 (14 %)
The programmes concerned
Fees are stated in Guinean francs: per year for a long programme, as a single amount for a short course.
| Programme | Level | Duration | Fees |
|---|---|---|---|
| Data Science programme — Bac+5 level | Master's degree | 2 years | 7 200 000 GNF per year |
| Applied AI for Business Certificate | Professional certification | 4 months | 3 200 000 GNF in total |
| Artificial Intelligence programme — Bac+5 level | Master's degree | 2 years | 7 800 000 GNF per year |
| Digital Transformation Certificate | Professional certification | 6 months | 3 600 000 GNF in total |
What you can aim for with it
Each row opens a qualification page: blocks, volume, duration and entry requirements.
| Professional qualification | Target occupation | Level | Taught volume |
|---|---|---|---|
| Chief Data and AI Officer | data director, chief data and AI officer | 7 · Expert and executive | 700 h |
| AI Project Manager | AI project manager, data lead | 6 · Manager and professional | 800 h |
| Compliance Manager | compliance officer | 6 · Manager and professional | 750 h |
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