Modern Construction Site, Nzeng-Ayong. | bureau@univga.org | (+241) 77283418

Graduating License3

Professional License in Artificial Intelligence & Data Science

Cursus universitaire de 3 ans (180 ECTS) qui forme des Data Scientists et data engineers capables de transformer la donnée en valeur métier. Au programme : Python, statistiques, SQL, big data (Spark, Hadoop), machine learning, deep learning, dataviz et data engineering. Cursus dispensé en ligne avec encadrement académique, mémoire et soutenance professionnelle.

180 ECTS Artificial Intelligence and Data Science
Recommended Master's Degree track MASTER IN ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
Professional License in Artificial Intelligence & Data Science
Total cost
2,450,000 FCFA

Description

La Licence Professionnelle en Intelligence Artificielle & Data Science d'UNIVGA est un cursus universitaire complet de 3 ans (180 ECTS) qui forme des Data Scientists et Data Engineers capables de transformer les données massives en valeur métier. Le programme combine les fondamentaux statistiques, l'ingénierie de la donnée et le machine learning appliqué pour produire des analyses opérationnelles à fort impact.

Cette formation est dispensée à 100% en ligne. Elle articule la maîtrise des outils data (Python, SQL, Spark, Hadoop, dbt) avec les méthodes statistiques et de machine learning, ainsi que les bonnes pratiques d'ingénierie (data pipelines, qualité, gouvernance, MLOps).

Market issues and career opportunity

La donnée est devenue le carburant de la décision dans tous les secteurs : finance, télécoms, santé, retail, industrie, secteur public. Les profils capables de collecter, transformer, modéliser et restituer la donnée comptent parmi les plus recherchés du marché. Data Scientist, Data Engineer, Analytics Engineer et BI Engineer sont des fonctions stratégiques très bien rémunérées.

Curriculum pedagogical structure

Année 1 — Fondamentaux mathématiques, statistiques et Python. Python scientifique, algèbre linéaire, probabilités et statistiques, bases de données relationnelles et SQL, environnements Linux et Git.

Année 2 — Data engineering et machine learning. Modélisation statistique avancée, machine learning supervisé/non supervisé, feature engineering, dataviz, ingestion et transformation de données, introduction au big data.

Année 3 — Spécialisation Data Science et industrialisation. Big Data avec Spark, data warehousing moderne (Snowflake, BigQuery, dbt), deep learning, NLP, MLOps, gouvernance et qualité des données, mémoire professionnel.

Career opportunities

Data Scientist junior, Data Engineer, Analytics Engineer, BI Engineer, ML Engineer junior, consultant data, ingénieur Big Data, data analyst senior. Poursuite naturelle en Master IA & Data Science, Master Big Data ou MSc Data Engineering.

Suitable for working professionals

UNIVGA is designed to meet the needs of working professionals, who make up 80% of its student body. The platform is accessible 24 hours a day, 7 days a week; the learning pace is flexible; and the educational content can be accessed as many times as needed. Weekly virtual classes are recorded and remain available. Students keep their jobs while studying at their own pace and can directly apply the skills they’ve acquired in their professional environment.

What you will learn

Maîtriser Python et l'écosystème data scientifique (NumPy, pandas, scikit-learn, matplotlib)
Concevoir des bases de données relationnelles et écrire des requêtes SQL avancées (window functions, CTE)
Construire des pipelines d'ingestion et de transformation de données (ETL/ELT, Airflow, dbt)
Mettre en œuvre les méthodes statistiques essentielles (régression, ANOVA, tests, bootstrap)
Entraîner et évaluer des modèles de Machine Learning supervisés et non supervisés
Exploiter Apache Spark pour le traitement distribué de données massives
Modéliser et alimenter un data warehouse moderne (Snowflake, BigQuery, Redshift)
Concevoir et publier des dashboards opérationnels (Power BI, Tableau, Looker, Streamlit)
Mettre en production des modèles de machine learning avec les pratiques MLOps
Garantir la qualité, la gouvernance et la sécurité des données (data quality, RGPD, lineage)
Préparer les certifications professionnelles internationales (Databricks, Snowflake, AWS Data Analytics, dbt)
Write a structured professional thesis and defend it in an oral presentation before a jury

This program includes

Written Course, Audio & PDF
Key Takeaways + Graded Evaluation
Comprehension questions
Frequently Asked Questions (FAQ)
Timed Quiz
Professional Case Studies
Video conferencing course explanations
Supervised remote homework sessions
Graded business case studies
Professional internship report
Optional supervised project (real professional case)
Video conference defense
First Year
6 UEs 18 Lessons 60 ECTS
Semester 1 – 30 ECTS credits
Chapitre 1 : Syntaxe Python, types de données et programmation orientée objet
Chapitre 2 : NumPy : tableaux multidimensionnels, vectorisation, broadcasting
Chapitre 3 : Pandas : DataFrames, lecture/écriture, group-by, jointures
Chapitre 1 : Vecteurs, matrices, produits scalaires et matriciels
Chapitre 2 : Inversion, déterminants, valeurs propres et décompositions
Chapitre 3 : SVD, PCA et applications à la data science
Chapitre 1 : Linux et Bash : navigation, scripts, automatisation
Chapitre 2 : Git et GitHub : workflow collaboratif, branches, pull requests
Chapitre 3 : Environnements Python : venv, conda, Docker pour data science
Semester 2 – 30 ECTS credits
Chapitre 1 : Variables aléatoires, lois de probabilité, espérance et variance
Chapitre 2 : Statistiques descriptives univariées et bivariées
Chapitre 3 : Échantillonnage, intervalles de confiance et tests d'hypothèses
Chapitre 1 : Modélisation relationnelle, MCD, MLD et normalisation
Chapitre 2 : SQL avancé : JOIN complexes, sous-requêtes, CTE, window functions
Chapitre 3 : Optimisation : index, plans d'exécution, partitionnement
Chapitre 1 : Matplotlib et Seaborn : graphiques statistiques pour l'exploration
Chapitre 2 : Plotly, Streamlit et dashboards interactifs
Chapitre 3 : Storytelling data : choix de graphique, design et communication
Second Year
6 UEs 18 Lessons 60 ECTS
Semester 3 – 30 ECTS credits
Chapitre 1 : Régression linéaire et logistique : interprétation et tests
Chapitre 2 : ANOVA, tests non paramétriques et A/B testing
Chapitre 3 : Bootstrap, validation croisée et causal inference
Chapitre 1 : Arbres de décision, Random Forest et Gradient Boosting (XGBoost, LightGBM)
Chapitre 2 : SVM, k-NN, Naive Bayes et régularisation
Chapitre 3 : Évaluation : métriques de classification et régression, courbes ROC, lift
Chapitre 1 : Clustering : K-Means, DBSCAN, hiérarchique
Chapitre 2 : Réduction de dimension : PCA, t-SNE, UMAP
Chapitre 3 : Détection d'anomalies et systèmes de recommandation
Semester 4 – 30 ECTS credits
Chapitre 1 : Nettoyage : valeurs manquantes, outliers, dédoublonnage
Chapitre 2 : Encodage, scaling et création de features (date, texte, géo)
Chapitre 3 : Sélection de variables et pipelines scikit-learn reproductibles
Chapitre 1 : Architectures de pipelines : batch, streaming, lambda, kappa
Chapitre 2 : Apache Airflow : DAGs, opérateurs, scheduling et monitoring
Chapitre 3 : dbt : modélisation analytique, tests, documentation, CI/CD
Chapitre 1 : Écosystème Hadoop : HDFS, MapReduce, YARN
Chapitre 2 : Apache Spark : RDD, DataFrames, Spark SQL — premiers pas
Chapitre 3 : Formats colonne (Parquet, ORC) et compression pour le big data
Third year
6 UEs 15 Lessons 60 ECTS
Semester 5 – 30 ECTS credits
Chapitre 1 : Spark avancé : optimisations, partitionnement, broadcast
Chapitre 2 : Spark MLlib : machine learning à l'échelle
Chapitre 3 : Spark Structured Streaming : traitement temps réel
Chapitre 1 : Snowflake, BigQuery, Redshift : architectures cloud-native
Chapitre 2 : Modélisation analytique : étoile, flocon, Data Vault, One Big Table
Chapitre 3 : Lakehouse : Delta Lake, Iceberg, Hudi — état de l'art
Chapitre 1 : Réseaux de neurones avec TensorFlow/Keras et PyTorch
Chapitre 2 : CNN pour la vision, RNN/LSTM pour le séquentiel
Chapitre 3 : Transformers et NLP moderne : BERT, GPT, Hugging Face
Semester 6 – 30 ECTS credits
Chapitre 1 : Versionnement des modèles : MLflow, DVC, registries
Chapitre 2 : Déploiement : Docker, Kubernetes, FastAPI, BentoML
Chapitre 3 : Monitoring de modèles, drift detection et CI/CD pour le ML
Chapitre 1 : Data Quality : tests, contrats de données (data contracts), Great Expectations
Chapitre 2 : Catalogues et lineage : DataHub, OpenMetadata, Apache Atlas
Chapitre 3 : RGPD, anonymisation, sécurité et droits d'accès aux données
Professional Memory and Tutored Project 10 credits 50 hours
supervised work

Admission Requirements

📋

Required documents — Professional License Training

Admission file to be compiled

Required documents for all levels:

🎓 Copy of the Baccalaureate certificate or diploma
🪪 Copy of ID
📸 Recent ID photo
🔎

File Verification & Validation

All documents transmitted will be subject to a Administrative review. Your file will be officially approved or rejected after examination. Payment of tuition fees for degree programs will only be made after your application has been approved.

📬

Document transmission

🌐

Online - Pre-registration Form

Submit your documents directly through our secure online form.

📝 Pre-registration Form
🏢

In person — UNIVGA Group Headquarters

Libreville, Nzeng-Ayong Neighborhood, Chantier Moderne — top floor, door on the right of the tiled building opposite Plaisance.

💳

Payment methods

Tuition fees can be paid in several ways:

📱 Mobile Money Online on this site On-site at headquarters 🌍 International transfer

To find out the precise payment details suitable for your situation, please contact UNIVGA administration directly.

Contact Administration
🚀

Training start

Given the nature 100 % Digital courses generally begin 1 to 3 business days after payment confirmation. This time frame allows the administration to prepare your file and create your student account.

How is your training going?

Each lesson is structured in progressive steps. You must complete the 3 mandatory activities to unlock the next lesson.

Male teacher

Real human supervision

Online flexibility + guaranteed pedagogical presence

Our educational model combines total flexibility and rigorous academic supervision. You access content at your own pace, while benefiting from regular video conferences with your teachers.

🎙️

Course explanations

Live in-depth sessions with your mentors to clarify each concept.

💬

Interactive educational exchanges

Q&A with your teachers, adapted to your pace and difficulties.

📋

Supervised online homework

Real-time proctored exams on Zoom or Google Meet, under real exam conditions.

📅

Upon your registration, an Custom academic calendar is communicated to you — guaranteeing serious follow-up and guided progress, without the constraints of continuous live classes.

🔓

Lesson Unlock Rule

To access the next lesson, you must complete the 3 mandatory activities from the current lesson:

🔑 Key Points 🎯 Scenario 📝 Evaluation
📘

Professional thesis and defense

Your course concludes with the writing of a Professional memory addressing a concrete problem related to your specialty, followed by a online video conference defense in front of an academic jury (Zoom or Google Meet). You are accompanied by a dedicated tutor for framing, methodology, and defense preparation.

Optional Tutored Project: You can use a real-world case study from your professional environment as a supplementary deliverable to your thesis.

Thesis defense fees: 150,000 CFA francs — included in the total cost of the course, billed at the end before the jury session.

📚

The Essentials of the Course

Course + Audio + PDF

The core of your training. Each lesson includes a structured written course, an audio course for immersive listening and a Downloadable PDF to revise at any time, even offline. The content is organized progressively with definitions, concrete examples, and practical illustrations.

🧩

Case study

A practical case study is integrated into each lesson with an in-depth explanation section to anchor theory in real-world situations.

Lesson FAQ

5 frequently asked questions answered at the bottom of each lesson to address the most common doubts about the subject matter.

🔍

Preparation questions

Questions at the end of the lesson to deepen your own research or prepare for discussions with your academic advisor.

🔑

Key Points

10 enrichments 🔓 Required

10 carefully selected points to deepen your understanding beyond the essentials of the course. They offer additional perspectives, practical applications, and hands-on advice. The validation of this tab is required to unlock the next lesson.

🎯

Setting the Scene

Professional graded simulation 🔓 Required

You are placed in an interactive professional simulation. Real decisions are presented to you with immediate feedback and detailed correction. Your grade has been recorded and counts towards your academic progress. Validating this tab is mandatory to unlock the next lesson.

📝

Evaluation

20 varied questions quiz 🔓 Required

A 20-question quiz with varied formats (multiple choice, true/false, matching, practical case studies, etc.) to validate your mastery of the chapter. Instant results with detailed corrections. This grade counts towards your overall average. Validating this tab is mandatory to unlock the next lesson.

Frequently Asked Questions

Yes. The UNIVGA GROUP is registered with the National Agency for Investment Promotion of Gabon (ANPI-Gabon) and has all legal registrations: NIF 370669-C, RCCM GA-LBV-01-2020-A10-01945, and CNSS 014-0205895-A. The institution is also officially recognized by the Ministry of Professional Training under authorization no. 000306/MENICFP/SG/DGFP/DFP, which empowers it to train and issue training certificates as well as Bac+2 level diplomas, notably the DTS.

UNIVGA is authorized to directly issue training certificates and Bac+2 level diplomas (DTS). For higher level diplomas—Professional Bachelor's, Bachelor's, Professional Master's, MBA, DBA—they are issued by our local or international partner universities. This collaboration ensures that your diplomas benefit from broad academic recognition, beyond Gabon's borders.

Yes, on multiple levels. In the UK, UNIVGA GROUP is registered under company number 12581906, recognized by HM Revenue and Customs (HMRC) with VAT number GB353434312, and listed on the UK Register of Regulated Educational Institutions under UKPRN 10086514. UNIVGA is also accredited (ID: CINVU11GA2019I1156) as an Executive Board Member and Member of the Educational Committee of CINVU (Comstech Inter-Islamic Network on Virtual Universities), which operates under the auspices of the Standing Committee on Scientific and Technological Cooperation of the Organization of Islamic Cooperation (OIC). This accreditation signifies our academic excellence and contribution to higher education globally.

Le CINVU (Comstech Inter-Islamic Network on Virtual Universities) is an international network that promotes cooperation and knowledge sharing among virtual universities and higher education institutions in the member countries of the Organization of Islamic Cooperation (OIC). UNIVGA sits on its executive board and educational committee under the identifier CINVU11GA2019I1156. This accreditation attests to the quality of our teaching, our academic standards, and our commitment to digital higher education within a network spanning over 50 countries.

The UNIVGA GROUP’s headquarters are located in Libreville, Gabon—Nzeng-Ayong neighborhood, Chantier Moderne, top floor, the door to the right of the tiled building across from Plaisance. Although our courses are 100% online, we maintain a physical location to welcome students, accept registration documents, and process tuition payments. The institution is also incorporated in the United Kingdom as a company (Company Number 12581906), which reinforces its international scope.

GROUPE UNIVGA is the official and administrative name of the institution, the one that appears on all legal documents, registrations, and ministerial authorizations. «Université Virtuelle du Gabon» (or UNIVGA) is the trade name adopted to reflect the institution’s fully digital nature and to make it easier for the public to identify it. It is therefore the same entity: the administrative name is GROUPE UNIVGA, and the commonly used name is Virtual University of Gabon.

Each lesson is structured in several progressive steps. You begin with the Course Essentials (written text + audio + downloadable PDF), which includes a case study explained in detail, a FAQ, and preparation questions. Then, you complete 3 mandatory activities: Key Points (10 enrichments), Role Play (professional decision simulation), and Assessment (timed quiz). All 3 activities must be completed to unlock the next lesson.

Yes. Each lesson includes an audio course that you can listen to at any time, as well as a downloadable PDF containing all of the written content of the lesson. This allows you to review offline, on the go, or without internet access. The audio content is particularly popular with students who want to learn while mobile.

Each lesson includes a practical case study directly integrated into the course content. It is accompanied by an in-depth explanation section to help you understand how theory applies in a real-world situation. These cases are drawn from actual professional contexts (African and international) and allow you to ground your learning in practice from the very first reading.

The preparation questions at the end of each lesson serve a dual purpose. First, they allow you to deepen your understanding of the course through your own research and personal reflection. Second, for students pursuing a degree, they serve to prepare you for discussions during your videoconferenced course explanation sessions with your academic advisor. By working on them in advance, you will get the most out of each session.

Yes, all mandatory activities (Key Points, Role-Playing, Evaluation) are automatically graded by the platform. You get immediate feedback on your answers with your score and mastery level. This allows you to quickly identify your weaknesses and review the necessary concepts before continuing your progress.

The progressive unlocking system ensures that each student truly grasps the concepts before moving on. The 3 mandatory activities (Key Points, Scenario, and Assessment) verify different skills: comprehension, decision-making, and recall. This rigorous pedagogical model ensures the quality of the course and the value of your training.

For a degree program, you must provide at minimum: a copy of your Baccalaureate certificate or diploma, a copy of your ID, and a recent ID photo. Depending on your enrollment level (L3/Bachelor: proof of Bac+2; Master/MBA: Bachelor's degree Bac+3; DBA: Master's degree Bac+5), additional documents will be required. Payment of tuition fees is only made after your application has been validated by the administration.

You have two options. You can submit your documents directly online via the pre-registration form at univga.org/preinscription/, or visit the UNIVGA Group headquarters in person in Libreville, Nzeng-Ayong neighborhood, Chantier Moderne (top floor, door on the right of the tiled building opposite Plaisance). In both cases, your documents will be verified before official validation.

UNIVGA accepts several payment methods: Mobile Money, online directly on the website, in person at the Libreville headquarters, or by international transfer. To get the exact details for your payment method, please contact UNIVGA administration directly via the "Contact Us" tab on this page.

Thanks to the institution’s fully digital system, courses typically begin within 1 to 3 business days after your payment is confirmed. This short turnaround time allows the administration to finalize your enrollment, create your student account, and set up your access to the platform with all your courses.

Video conferencing sessions are live sessions on Zoom or Google Meet, scheduled according to your personalized academic calendar. They include in-depth course explanations by your academic advisors, interactive question-and-answer sessions tailored to your difficulties, as well as real-time supervised assignments. Connection links are sent to you by email before each session. This calendar is given to you upon registration.

Supervised assignments take place live on Zoom or Google Meet, under the conditions of a real exam. You compose within a set time limit, with your camera on, under the supervision of your academic advisor. These assessments are scheduled in advance in your academic calendar and complement the platform's automatic assessments to ensure maximum academic rigor.

Once your registration is validated, you will receive a personalized academic calendar. It organizes your curriculum by defining the course periods, video conferencing session dates, supervised assignments, and, where applicable, the defense. This calendar ensures a serious follow-up and guided progress, while allowing you the flexibility of online learning—without the constraints of constant live classes.

Yes, enrollment is open year-round thanks to UNIVGA's digital format. Your personalized academic calendar is established from your effective enrollment date, allowing you to start at any time. Each student thus follows an individualized path, independent of others.

Online admission

This training is graduating Your application is being reviewed by our admissions committee before validation and access to the payment platform.

📋 4-Step Procedure

  1. Fill out your pre-registration form below (approx. 5 min).
  2. Our committee is reviewing your application under 72 business hours.
  3. If accepted, you will receive your by email Admission certificate and the link for payment of registration fees.
  4. You pay your fees and immediately access your training space.

👤 Identity

📞 Contact

Academic background

Current situation

💬 Message to Administration Optional

1,000 characters maximum. Optional field - leave blank if not applicable.

Attachments

Accepted formats: PDF, JPG, PNG — Max size: 5 MB per file

What our students say about us

Verified reviews from our students • 16 testimonials

See also our reviews of Trustpilot
UNIVGA Group
Logo

New Report

Close

Shopping cart