IRM-Opt. Big Data & Business Intelligence
3 Years | 180 Credits
The "BDBI" option (Option B) is set as a goal to train professionals. The latter will master not only the managerial and technical aspects related to the development of information systems, but also those related to the design, development, implementation and management of tools and systems for Big Data and Business Intelligence. This option will include the latest advances in methods, techniques and technologies related to this discipline such as data mining, data warehousing, NoSQL programming, cloud computing, artificial learning, 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.
All costs mentioned are exclusive of VAT (the current rate in January 2020 is 7%)
Duration | Type of Fee | Tunisian students | International Students |
3 years | Application fee (payable only once on first enrolment in a PI course) |
500 DTTTC | 250 € INCL. VAT |
Annual registration fee | 6825 DTHT | 3400 € EXCL. |
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 |