MRI-Opt. BD-IA

3 Years | 180 Credits

Objectives

The "BDIA" option is designed to train professionals. These professionals will then master not only the managerial and technical aspects of information systems development, but also those relating to the design, development, implementation and management of tools and systems for Big Data and Artificial 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 and more.

Admission requirements

Successful candidates :

  • Bachelor's degree in Computer Science 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.

Competencies

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

Targeted occupations

  • Chief Data Officer

    • The Chief Data Officer (CDO) is a data specialist. He or she is responsible for data management, data processing, data quality and data administration.

  • Data scientist (AI)

    • The data scientist manages, analyzes and exploits massive amounts of data. Their role is to understand and model different business issues, as well as to develop predictive models to anticipate changes in data and trends in their company's sector of activity. The data scientist has triple expertise in Machine learning, Deep learning and Data Vizualization.

  • Machine Learning Engineer

    • Machine learning engineers develop algorithms to process large volumes of data. They must choose the most relevant model from all those available to meet the company's needs. They are responsible for industrializing artificial intelligence models and managing the lifecycle of models and data.

  • Data analyst

    • The data analyst determines a typical customer's profile, expectations and needs. The result is relevant indicators to influence the company's operational strategy. He or she is therefore at the heart of the marketing strategy to be built up, by elaborating segmentation criteria to optimize this strategy and by sending web analytics reports.

  • Data engineer (Big Data engineer)

    • The role of the data engineer is to provide the necessary support for data processing. He or she is responsible for designing and implementing the data architecture. He or she is also responsible for adding value to data in the mathematical sense (AI), by sorting millions of pieces of data through various software programs in order to transform them into usable information.

Registration fees

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)		 700 DTTTC 250 € INCL. VAT
Annual registration fee 7450 DTHT 3400 € EXCL.
Annual enrolment fee (special times) 8,600 DTHT 3900 € EXCL.

Cursus

Semester 1

Curriculum>MRI>Semester1

Semester 2

Curriculum>MRI>Semester2

Semester 3

Curriculum>MRI>Semester3

Semester 4

Code Module Credits
EE-IRM811 Cloud computing
EE-IRM812 Cybersecurity
EE-IRM821 Numerical Computing for Data Science
EE-IRM822 Optimization for Data Science
EE-IRM831 Big Data & NoSQL
EE-IRM832 Data mining and data analysis
EE-IRM833 Multidimensional modelling
EE-IRM841 Python for Data Science
EE-IRM842 Machine Learning
EE-IRM853 Innovation management 1
EE-IRM854 Marketing 1
EE-IRM851 English 4 1.5
EE-IRM852 French IV/German IV 1.5
 EE-IRM861 Federative project 4

Semester 5

Code Module Credits
EE-IRM911 Analytical database processing 1.5
EE-IRM912 Automatic language processing (NLP) 1.5
EE-IRM921 Deep & Reinforcement Learning 3
EE-IRM922 Computer vision 1.5
EE-IRM923 Data Storage and Parallel Computing 1.5
EE-IRM931 Advanced Big Data 2
EE-IRM932 Massive data mining 2.5
EE-IRM933 Machine Learning for production (MLOps) 1.5
EE-IRM941 Data integration and ETL 3
EE-IRM942 Analysis and reporting 3
EE-IRM952 Communication techniques 1.5
EE-IRM951 English 5 1.5
EE-IRM953 Start up 1
 EE-IRM954 Strategic management 1
EE-IRM961 Federative project 4

Pre-registration



    Head of Department

    Ichrak MEHREZ

    Doctorate in Computer Science from the University of Paris-Saclay/ FST

    +216 95 120 688

    i.mehrez@pi.tn