IRM-Opt. Big Data & Business Intelligence
3 Years | 180 Credits
L’option « BDBI » est fixée comme une finalité visant à former des professionnels. Ces derniers maîtriseront par la suite non seulement les aspects managériaux et techniques liés au développement des systèmes d’information, mais aussi celles relatives à la conception, au développement, la mise en œuvre et la gestion d’outils et de systèmes pour le Big Data et le Business Intelligence . Cette option va inclure les dernières avancées liées aux méthodes, techniques et technologies qui touchent cette discipline telles que le data mining , le data warehouse, la programmation NoSQL , le cloud computing , l’apprentissage artificiel , etc.
Successful candidates :
- A Bachelor's degree in Computer Science, Electrical Engineering or equivalent,
- The preparatory cycle or equivalent,
- Successful completion of a first year of an engineering or master's degree in computer science or equivalent.
The predictable distinctive skills of theBig Data and Business Intelligence engineer are divided into three areas. These characterise the technical fields targeted by our training.
- Data ingestion from external sources or APIs.
- Automation of data consumption to alert users of abnormal events.
- Experimental frameworks and A/B testing
- MetadataManagement
- Management of business, software and data architectures.
- Study and development of an information system, decision-making components for Business Intelligence.
- Management of system architectures for Big Data.
- Management of decision support systems.
- Audit, strategy and planning of Big Data and Business Intelligence systems.
Cursus
Curriculum>MRI>Semester1
Curriculum>MRI>Semester2
Curriculum>MRI>Semester3
Code | Module | Credits |
---|---|---|
EE-IRM811 | Python for Data Science | 2 |
EE-IRM812 | Big Data & NoSQL | 4 |
EE-IRM813 | Development frameworks | 2 |
EE-IRM821 | Cloud Computing | 3 |
EE-IRM822 | Cybersecurity | 2 |
EE-IRM823 | Massive parallel architectures | 2 |
EE-IRM83B1 | Data mining and data analysis | 2 |
EE-IRM83B2 | Multidimensional modelling | 3 |
EE-IRM83B3 | Machine Learning | 2 |
EE-IRM83B4 | Workshop R | 1 |
EE-IRM83B5 | BDBI federating project | 2 |
EE-IRM841 | English 4 | 1.5 |
EE-IRM842 | French 4 | 1.5 |
EE-IRM8423 | Innovation management | 1 |
EE-IRM8434 | Marketing | 1 |
Code | Module | Credits |
---|---|---|
EE-IRM911 | Analytical Database Processing (SAS) | 1 |
EE-IRM912 | Semantic Web | 1.5 |
EE-IRM92B1 | Data integration and ETL | 3 |
EE-IRM92B2 | Analysis and Reporting | 3 |
EE-IRM93B1 | Advanced Big Data | 4 |
EE-IRM93B2 | Massive data mining | 3 |
EE-IRM94B1 | Object-Relational Databases | 1.5 |
EE-IRM94B2 | Deep Learning | 3 |
EE-IRM94B3 | Chatbot & Recommendation Systems | 1.5 |
EE-IRM95B1 | Automatic Natural Language Processing | 1.5 |
EE-IRM95B1 | BDBI federating project | 2 |
EE-IRM961 | English 5 | 1.5 |
EE-IRM962 | English 5 | 1.5 |
EE-IRM963 | Strategic management | 1 |
EE-IRM964 | Communication techniques | 1 |