Master's Degree in Data Science Tunisie
Specific objectives of Master in Data Science Tunisie
The APBS master’s program is structured around several specific objectives, including:
- Develop a thorough understanding of the mathematical principles underlying data analysis, enabling accurate interpretation of results
- Gain practical expertise in using parallel and distributed computing techniques to efficiently process massive volumes of data
- Master object-oriented programming concepts and tools to develop robust solutions in the field of Data Science
- Deepen knowledge of machine learning and data mining techniques to extract relevant information from complex data
- Explore Big Data architectures and technologies to design scalable and high-performance systems.
- Develop data analysis skills to identify significant trends and patterns in varied data sets
- Gain hands-on experience implementing data visualization solutions to facilitate the communication of analysis results
- Master agile project management methodologies for effective implementation of Data Science projects
- Deepen knowledge in natural language processing and data modeling for advanced applications in various fields
- Explore emerging technologies such as the Internet of Things and Cloud environments to integrate innovative solutions in the field of Data Science
In an increasingly data-driven professional landscape, there is an ever-increasing demand for professionals who can effectively navigate big data. These “golden profiles” have become essential players in many sectors, from finance to health and marketing. Their ability to collect, analyze and interpret massive volumes of data to extract relevant information and strategic insights makes them valuable assets for any organization seeking to make informed decisions. The course of this professional master's degree leads to working life.
Graduates will be able to either:
- Work in public or private companies whose niche includes big data Web engineering or social networks.
- Enter large companies requiring the creation and operation of very large databases, in research and development, on high-level applications and on the optimization of processes and flows
The targeted profession according to the REM/REC Reference (www.digitaltalent.tn) is:
- Data analyst (Sheet 15)
Furthermore, graduates can occupy positions such as:
- Data analysts (or data scientists)
- Big Data information systems architects
- Data visualization experts
- Experts in research and development in data mining and knowledge
- IT project
- Consultants in cutting-edge technology sectors in various fields such as IT, telecommunications, energy, banking and insurance, automobiles,
Students will be able to:
- Analyze and interpret complex data sets to identify meaningful trends and patterns
- Design and develop robust and scalable Data Science solutions using the latest technologies
- Communicate analysis results effectively using appropriate data visualization techniques
- Manage Data Science projects using agile methodologies to ensure successful delivery on time
Programs of Master in Data Science Tunisie
Semester 1
• Mathematical Foundations of Scientific Data
• Algorithmic Complexity
• Statistical workshop with R
• Introduction to Big Data
• Parallel and Distributed Computing
• NoSQL Database
• PL_SQL Database Management System
• English for computing
• Corporate Culture
• Object Oriented Programming (Java)
• Analytical processing of databases (SAS)
Semester 2
• Machine Learning 1
• Data mining
• Data Mining and Machine
• Learning Workshop
• Advanced Big Data Processing
• Systems Modeling for Big Data
• Distributed Systems for Big Data
• Decision-Making Information System
• Business English
• Study and management of innovative projects
• Big Data Visualization
• Unified Agile Development Process
Semester 3
• Advanced web development
• Infographics and web design
• Electronic payment and fintech
• Digital strategy
• International marketing
• International finance
• Digital marketing and E-CRM
• E-SCM
• Preparing TOEIC
• Job search technique and self-marketing
• Digital transformation project management
• Risk management in Ebusiness
Semester 4
Internship in company