Explore the programs and courses offered by Information and Communication Sciences and Technologies
Browse Programs Admission Informationhe Master's program in Information and Communication Sciences and Technologies (STIC) aims to train graduates capable of designing and developing intelligent systems and managing projects in the field of Information and Communication Technologies (ICT). This program provides students with advanced skills in artificial intelligence, data analysis, smart application development, information system management, and cybersecurity.
The curriculum combines both theoretical and practical learning, covering topics such as:
Artificial Intelligence and Machine Learning;
Big Data analysis and processing;
Web and mobile application development;
Modern networking and communication technologies;
Cloud computing and information systems security.
Upon completion of the program, graduates will be able to:
Solve complex problems related to information systems;
Manage advanced technological projects;
Develop intelligent software and systems for various sectors such as companies, public administrations, industry, and services.
Core Courses of the Master STIC program:
Artificial Intelligence (AI)
Advanced concepts in AI
Intelligent systems and applications
Machine Learning
Supervised and unsupervised learning techniques
Deep Learning applications
Data Mining
Knowledge extraction techniques from data
Data mining tools and big data analysis
Networks and Communications
Network administration and protocols
Network and communication systems security
Advanced Databases
Design and management of large-scale databases
NoSQL and Big Data technologies
Cloud Computing and DevOps
Application deployment in cloud environments
DevOps methodologies and continuous integration (CI/CD)
Information Security
Information security policies and best practices
Security tools and testing (firewalls, IDS, penetration testing)
Distributed Systems
Distributed systems architecture
Multi-agent systems solutions and applications
Final Year Project or Internship
Practical or research project in a company or research lab.
Advanced Topics for the STIC Master's:
Advanced Artificial Intelligence
AI Applications in Business Solutions and Intelligent Control
Deep Learning
Advanced Neural Networks (CNN, RNN, LSTM, GANs)
Deep Learning Models in Computer Vision and Natural Language Processing
Big Data Analytics
Hadoop and Spark Technologies
Distributed and Unstructured Data Processing and Analysis
Distributed and Multi-Agent Systems
Design and Building Intelligent Distributed Systems
Multi-Agent System Applications in Orchestration and Autonomous Computing
Advanced DevOps and Cloud Computing
Cloud Computing Management (AWS, Azure, OpenStack)
Advanced DevOps Tools (Kubernetes, Docker, Jenkins)
Advanced Networking and Telecommunications Analysis
SDN Technologies (Software-Defined Networking)
Management and Development Modern Network Infrastructure
Advanced Cybersecurity
Security in Distributed Systems and Cloud Computing
Cybersecurity Using Artificial Intelligence and Advanced Threat Detection
Admission requires that the student has been accepted into the MI common core. Selection is based on common core results and university-defined criteria.
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