Master of Science (MSc) in Artificial Intelligence and Data Science

Course Duration: 2 years

Semester 1

  • Foundations of Artificial Intelligence
    • Introduction to AI concepts, history, and applications
    • Machine learning basics: algorithms, supervised and
      unsupervised learning
    • Probability and statistics for data science
  • Data Mining and Analytics
    • Data preprocessing and cleaning
    • Exploratory data analysis
    • Clustering and association rule mining
  • Programming for Data Science
    • Python programming fundamentals
    • Data manipulation with Pandas
    • Visualization with Matplotlib and Seaborn
  • Mathematics for Machine Learning
    • Linear algebra essentials
    • Calculus and optimization
    • Probability theory

Semester 2:

  • Advanced Machine Learning
    • Deep learning fundamentals
    • Neural networks architectures
    • Convolutional and recurrent neural networks
  • Big Data Technologies
    • Introduction to distributed computing
    • Hadoop and MapReduce
    • Spark for large-scale data processing
  • Natural Language Processing
    • Text preprocessing and tokenization
    • Sentiment analysis and language modeling
    • Neural network approaches to NLP
  • Ethics in AI and Data Science
    • Legal and ethical considerations in AI
    • Bias and fairness in algorithms
    • Privacy and data protection regulations

Semester 3:

  • Advanced Data Science
    • Time series analysis
    • Feature engineering and selection
    • Model evaluation and ensemble methods
  • Reinforcement Learning
    • Markov decision processes
    • Q-learning and policy gradients
    • Applications in robotics and gaming
  • Cloud Computing for AI
    • Cloud platforms (AWS, GCP, Azure)
    • Deploying and scaling AI models
    • Serverless computing for AI applications
  • Capstone Project Preparation
    • Research methods and project design
    • Proposal writing and project planning

Semester 4:

  • Capstone Project
    • Work on a substantial AI or data science project
    • Implementing and evaluating a solution
    • Writing a thesis and presenting findings
  • Internship (or Electives)
    • Optional internship in industry or research
    • Alternatively, choose from advanced elective courses:
      ▪ Computer vision
      ▪ Bayesian methods in AI
      ▪ Graphical models
      ▪ Healthcare analytics
  • Professional Development
    • Job search strategies
    • Interview preparation
    • Networking and career pathways in AI and data science

Note: This curriculum blends theoretical knowledge with hands-on experience, preparing students for careers in AI and data science across various industries. It’s essential to incorporate practical projects, internships, and networking opportunities to enhance real-world skills and employability. Additionally, this curriculum aligns with the evolving landscape of AI and data science, emphasizing ethics, big data technologies, and advanced machine learning concepts.

Master of Science in Hospitality and Tourism Management

The Master of Science in Hospitality and Tourism Management is a rigorous two-years program designed to prepare students for leadership roles in the dynamic hospitality and tourism industry, with a focus on the French context. The program provides a comprehensive understanding of hospitality and tourism management principles, strategic planning, marketing, and operational management. Through a combination of theoretical coursework, practical experiences, and industry immersion, students will develop the skills and knowledge necessary to succeed in diverse sectors of the hospitality and tourism industry.

Duration: 2 years (4 semesters)

Year 1: Semester 1

     

      • Tourism Marketing and Destination Management

           

            • Marketing strategies tailored to tourism destinations

            • Destination branding and promotion

        • Hospitality Operations Management

             

              • Principles of managing hospitality operations

              • Food and beverage management and service

          • Tourism Marketing and Destination Management

               

                • Marketing strategies tailored to tourism destinations

                • Destination branding and promotion

            • Financial Management in Hospitality and Tourism

                 

                  • Financial analysis, budgeting, and cost control in the industry

                  • Revenue management fundamentals

              • Cross-Cultural Management in Hospitality

                   

                    • Understanding cultural diversity and its impact on hospitality

                    • Interpersonal communication skills in cross-cultural contexts

              Year 1: Semester 2

                 

                  • Strategic Management in Hospitality

                       

                        • Strategic planning and decision-making in hospitality enterprises

                        • o Competitive analysis and industry positioning

                    • Revenue Management and Pricing Strategies

                         

                          • Advanced revenue management techniques

                          • Pricing strategies for hospitality services

                      • Sustainable Tourism Development

                           

                            • Principles of sustainable tourism and responsible travel

                            • Environmental and social impacts of tourism

                        • Customer Relationship Management in Hospitality

                             

                              • Building and managing customer relationships in hospitality

                              • o Service quality and guest satisfaction

                          • Digital Marketing for Hospitality and Tourism

                               

                                • Utilizing digital tools and platforms for marketing hospitality services

                                • Online reputation management and social media strategies

                          Year 2: Semester 3

                             

                              • Internship or Applied Research Project in Hospitality and Tourism (20 weeks)

                                   

                                    • Hands-on experience in a hospitality or tourism organization

                                    • Applied research on a relevant industry topic

                                • French Language and Culture for Hospitality Professionals

                                     

                                      • Advanced French language skills for hospitality contexts

                                      • Understanding French culture and customs in the industry

                                  • Seminar on Current Issues in Hospitality and Tourism

                                       

                                        • Exploration of contemporary challenges and trends in the field

                                        • Guest lectures from industry professionals and researchers

                                    • Professional Development and Career Management in Hospitality Industry

                                         

                                          • Career planning and management skills development

                                          • Leadership and teamwork in hospitality settings

                                    Year 2: Semester 4

                                       

                                        • Specialization Elective 1

                                             

                                              • Choose from:

                                                   

                                                    • Luxury Hospitality Management

                                                    • Culinary Tourism and Gastronomy

                                                    • Event Management in Tourism

                                             

                                              • Specialization Elective 2

                                                   

                                                    • Choose from:

                                                         

                                                          • Hotel Development and Asset Management

                                                          • Wellness and Spa Management

                                                          • Tourism and Digital Innovation

                                                  • Thesis Research and Writing

                                                       

                                                        • Research proposal development and thesis preparation

                                                        • Independent research under faculty supervision

                                                    • Graduation Preparation

                                                         

                                                          • Final project presentations

                                                          • Career workshops and networking events

                                                    Note:

                                                       

                                                        • This structured curriculum combines foundational knowledge in hospitality and
                                                          tourism management with advanced topics and specialized electives to cater to
                                                          diverse career interests.

                                                        • The 20-week internship or applied research project in Semester 3 provides
                                                          valuable practical experience and networking opportunities.

                                                        • French language and culture courses are integrated to enhance students’
                                                          adaptability and effectiveness in the French hospitality and tourism context.

                                                        • The program emphasizes continuous engagement with industry practices
                                                          through seminars, guest lectures, and industry projects to ensure graduates are
                                                          well-prepared for leadership roles in the hospitality and tourism sector.

                                                        • This curriculum is designed to be adaptable and responsive to evolving industry
                                                          demands and academic standards, fostering a dynamic learning experience for
                                                          aspiring professionals in the field of hospitality and tourism management.

                                                      Masters of Science (MSc) in Cybersecurity

                                                      The MSc in Cybersecurity is designed to provide students with in-depth knowledge of
                                                      cyber threats, information security, risk management, and advanced technical skills
                                                      for defending against cyber-attacks. It prepares students to become professionals who
                                                      can design, manage, and implement robust cybersecurity solutions in various
                                                      industries.

                                                      Course Duration: 2 Years

                                                      Year 1: Foundation and Core Knowledge

                                                      Semester 1: (30 ECTS)

                                                      • Cybersecurity Fundamentals (6 ECTS)
                                                        • Overview of cybersecurity principles
                                                        • Threat landscape
                                                        • Confidentiality, Integrity, and Availability (CIA triad)
                                                      • Network Security and Cryptography (6 ECTS)
                                                        • Fundamentals of network protocols and topologies
                                                        • Encryption methods and secure communication
                                                        • Key management and digital certificates
                                                      • Operating Systems Security (6 ECTS)
                                                        • Security features in Windows, Linux, and Unix systems
                                                        • Hardening techniques for operating systems
                                                        • Access control and user management
                                                      • Cyber Law and Ethics (6 ECTS)
                                                        • Legal frameworks for cybersecurity in Europe and globally
                                                        • Ethical hacking practices
                                                        • Compliance with GDPR and NIS Directive
                                                      • Programming for Security (6 ECTS)
                                                        • Introduction to Python, Java, and C for security purposes
                                                        • Scripting for automation in cybersecurity tasks
                                                        • Secure coding practices

                                                      Semester 2: (30 ECTS)

                                                      • Advanced Cryptography (6 ECTS)
                                                        • Asymmetric encryption and Public Key Infrastructure (PKI)
                                                        • Blockchain and its security implications
                                                        • Cryptanalysis and breaking ciphers
                                                      • Ethical Hacking and Penetration Testing (6 ECTS)
                                                        • Tools and techniques for ethical hacking
                                                        • Vulnerability assessment and penetration testing methodologies
                                                        • Hands-on lab work with industry-standard tools (e.g., Metasploit, Wireshark)
                                                      • Digital Forensics and Incident Response (6 ECTS)
                                                        • Principles of digital evidence collection and preservation
                                                        • Forensic analysis of systems, networks, and mobile devices
                                                        • Incident response planning and procedures
                                                      • Cybersecurity Risk Management (6 ECTS)
                                                        • Risk analysis and assessment techniques
                                                        • Security policies, standards, and frameworks (ISO/IEC 27001, NIST)
                                                        • Business continuity and disaster recovery planning
                                                      • Research Methodology (6 ECTS) –
                                                        • Introduction to academic research methods –
                                                        • Data collection, analysis, and interpretation –
                                                        • Preparing for dissertation and project work

                                                      Year 2: Specialization and Advanced Topics

                                                      Semester 3: (30 ECTS)

                                                      • Cloud Security (6 ECTS)
                                                        • Security concerns in cloud computing environments
                                                        • Virtualization, container security, and cloud architecture
                                                        • Identity and access management (IAM) in the cloud
                                                      • Cyber Threat Intelligence and Analysis (6 ECTS)
                                                        • Threat intelligence lifecycle
                                                        • OSINT (Open Source Intelligence) techniques
                                                        • Threat modeling and intelligence sharing
                                                      • IoT Security (6 ECTS)
                                                        • Internet of Things (IoT) architecture and communication protocols
                                                        • Security challenges in IoT devices and networks
                                                        • Securing smart cities and industrial IoT environments
                                                      • Advanced Malware Analysis (6 ECTS)
                                                        • Reverse engineering of malware
                                                        • Techniques for analyzing and defending against advanced persistent threats (APTs)
                                                        • Sandboxing and dynamic malware analysis
                                                      • Compliance and Governance in Cybersecurity (6 ECTS)
                                                        • Cybersecurity governance frameworks (COBIT, ITIL)
                                                        • Regulatory compliance (GDPR, HIPAA, PCI-DSS)
                                                        • Cybersecurity audits and certifications

                                                      Semester 4: (30 ECTS)

                                                      • Cybersecurity Project Management (6 ECTS)
                                                        • Managing large-scale cybersecurity projects
                                                        • Agile methodologies in cybersecurity
                                                        • Leadership and team collaboration in cybersecurity settings
                                                      • Capstone Research Project / Dissertation (12 ECTS)
                                                        • Independent research project under academic supervision
                                                        • In-depth analysis of a specific cybersecurity problem or technology
                                                        • Dissertation writing and defense
                                                      • Industry Internship (12 ECTS)
                                                        • 3–6 month internship in a cybersecurity-related role
                                                        • Practical experience with security operations, threat hunting, or vulnerability
                                                          management
                                                        • Internship report submission and presentation

                                                      Elective Courses: (Choose 1-2 courses, 6-12 ECTS in total)

                                                      • Artificial Intelligence and Cybersecurity (6 ECTS)
                                                        • AI-driven cybersecurity solutions
                                                        • Machine learning applications in detecting and preventing cyberattacks
                                                      • Security in Software Development (6 ECTS)
                                                        • Secure software development lifecycle (SDLC)
                                                        • Application security tools (SAST, DAST)
                                                        • Code review and security testing
                                                      • Blockchain and Cybersecurity (6 ECTS)
                                                        • Fundamentals of blockchain technology
                                                        • Blockchain security challenges
                                                        • Use of blockchain for enhancing cybersecurity

                                                      Additional Program Components:

                                                      • Workshops and Seminars: Guest lectures and workshops by industry experts on
                                                        emerging trends in cybersecurity (ongoing throughout the program).
                                                      • Certifications: Students are encouraged to pursue industry certifications like
                                                        CISSP, CEH, or CompTIA Security+.