fbpx

APBS

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

Programs of Master in Data Science Tunisie

Semester 1

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

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

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

Semester 4

Internship in company