MSc In Computer Science

Study Plan A.A. 2023/24

1st year (Activated on 2023/24)

Mandatory exams common to all curricula (18 ECTS)
- English Language (B2 Level) (6 ECTS) - 1st Semester
- Complex System Design (12 ECTS) - 1st Semester

Curriculum mandatory exams - 1st or 2nd Semester:
- Artificial Intelligence and Informatics for Robotics (AIIR) Curriculum
  - Fundamentals of Machine Learning (6 ETCS) - 1st Semester
  - Distributed Calculus and Coordination (6 ETCS) - 1st Semester
  - Multiagent Systems Lab (9 ETCS) - 2nd Semester
  - Distributed Systems (9 ETCS) - 2nd Semester
  - Knowledge Engineering and Business Intelligence (6 ETCS) - 2nd Semester
  - Deep Learning and Computer Vision (6 ETCS) - 2nd Semester
- Business Informatics and Data Science (BIDS) Curriculum
  - Fundamentals of Machine Learning (6 ETCS) - 1st Semester
  - Technologies for Big Data Management (6 ETCS) - 1st Semester
  - Distributed Systems (6 ETCS) - 2nd Semester
  - Business Process Modeling and Enactment (6 ETCS) - 2nd Semester
  - Financial Management and Strategy (6 ETCS) - 2nd Semester
  - Knowledge Engineering and Business Intelligence (6 ETCS) - 2nd Semester
  - Process Mining (6 ETCS) - 2nd Semester
- Cybersecurity (CySec) Curriculum
  - Static Analysis and Program Verification (6 ETCS) - 1st Semester
  - Data and Network Security (6 ETCS) - 1st Semester
  - Security By Design (6 ETCS) - 2nd Semester
  - Distributed Systems (6 ETCS) - 2nd Semester
  - Fundamentals of Software Testing (6 ETCS) - 2nd Semester
  - Free Choice (12 ETCS) - 2nd Semester
- Methodologies and Technologies for Digital Communication (MTDT) Curriculum
  - Fundamentals of Machine Learning (6 ETCS) - 1st Semester
  - Technologies for Big Data Management (6 ETCS) - 1st Semester
  - Knowledge Engineering and Business Intelligence (6 ETCS) - 2nd Semester
  - Applied Game Design (6 ETCS) - 2nd Semester
  - Financial Management and Strategy (6 ETCS) - 2nd Semester
  - Free Choice (12 ETCS) - 2nd Semester
- Software Development and Technologies (SDT) Curriculum
  - Fundamentals of Machine Learning (6 ETCS) - 1st Semester
  - Technologies for Big Data Management (6 ETCS) - 1st Semester
  - Distributed Systems (6 ETCS) - 2nd Semester
  - Business Process Modeling and Enactment (6 ETCS) - 2nd Semester
  - Fundamentals of Software Testing (6 ETCS) - 2nd Semester
  - Free Choice (12 ETCS) - 2nd Semester

2nd year (Activated on 2024/25)

Curriculum mandatory exams - 1st Semester or 2nd Semester:
- Artificial Intelligence and Informatics for Robotics (AIIR) Curriculum
  - Autonomous and Collaborative Robotics (6 ETCS)
  - Cyber Physical Systems Design (6 ETCS)
  - Parallel and Distributed Programming (6 ETCS)
  - Free Choice (12 ETCS)
- Business Informatics and Data Science (BIDS) Curriculum
  - Blockchain and Distributed Ledger Tecnologies (6 ETCS)
  - Software Project Management (12 ETCS)
  - Free Choice (12 ETCS)
- Cybersecurity (CySec) Curriculum
  - Software Project Management (12 ETCS)
  - Cryptography: Theory and Applications (6 ETCS)
  - Parallel and Distributed Programming (6 ETCS)
  - Blockchain and Distributed Ledger Tecnologies (6 ETCS)
- Software Development and Technologies (SDT) Curriculum
  - Blockchain and Distributed Ledger Tecnologies (6 ETCS)
  - Cyber Physical Systems Design (6 ETCS)
  - Software Project Management (DevSecOps) (12 ETCS)
  - Parallel and Distributed Programming (6 ETCS)
- Methodologies and Technologies for Digital Communication (MTDT) Curriculum
  - Software Project Management (12 ETCS)
  - Digital Technologies for Cultural Heritage (6 ETCS)
  - Technologies for Extended Reality (6 ETCS)
  - Web 3D and Immersive Communication (6 ETCS)
Thesis (30 ECTS)