Currently Empty: € 0.00
🏛️ Institution
Prisca Sapientia University
Zurich, Switzerland – International Academic Mission
🌐 www.priscasapientia.university
Faculty:
Faculty of Computer Science & Digital Technologies
⏳ Duration and academic level
Duration: 2 academic years (4 semesters)
Credits: 120 ECTS (CFU)
Level: EQF Level 7
Delivery mode: Fully online
Start date: Open enrollment
🌍 Language
Italian
English
🎯 Educational objectives
IT
Il Master in Information Technologies & Artificial Intelligence sviluppa competenze avanzate nell’intelligenza artificiale, nei sistemi intelligenti, nella gestione dei dati, nella sicurezza informatica e nella progettazione di soluzioni digitali complesse.
Il percorso integra modelli avanzati di AI, deep learning, architetture cloud, cybersecurity e governance tecnologica, formando profili senior, consulenziali e manageriali in grado di guidare processi di innovazione digitale basati su sistemi intelligenti.
Competenze sviluppate:
- intelligenza artificiale avanzata
- machine learning e deep learning
- progettazione di sistemi intelligenti
- data management e data science avanzata
- cybersecurity e gestione del rischio AI
- cloud architecture per applicazioni AI
- Internet of Things integrato con AI
- trasformazione digitale e AI strategy
- etica, diritto e governance dell’AI
- metodologie di ricerca in AI e IT
EN
The Master’s Degree in Information Technologies & Artificial Intelligence develops advanced skills in artificial intelligence, intelligent systems, data management, cybersecurity and the design of complex digital solutions, preparing senior and consulting profiles.
The programme integrates advanced AI models, deep learning, cloud architectures, cybersecurity and technology governance, enabling graduates to lead AI-driven digital innovation initiatives.
Graduates develop competencies in:
- advanced artificial intelligence
- machine learning and deep learning
- intelligent systems design
- advanced data management and data science
- cybersecurity and AI risk management
- cloud architecture for AI applications
- Internet of Things integrated with AI
- digital transformation and AI strategy
- AI ethics, law and governance
- research methodologies in AI and IT
📚 Study plan (120 ECTS)
📘 First year – Advanced AI, data and research (60 ECTS)
| Course (Italian) | Course (English) | ECTS |
|---|---|---|
| Advanced Artificial Intelligence | Advanced Artificial Intelligence | 15 |
| Machine Learning & Deep Learning | Machine Learning & Deep Learning | 15 |
| Advanced Data Management | Advanced Data Management | 9 |
| Cybersecurity & AI Risk | Cybersecurity & AI Risk | 9 |
| Research Methods in AI & IT | Research Methods in AI & IT | 6 |
| Cloud Architecture for AI | Cloud Architecture for AI | 6 |
| Total | 60 ECTS |
📗 Second year – Intelligent systems, innovation and thesis (60 ECTS)
| Course (Italian) | Course (English) | ECTS |
|---|---|---|
| Intelligent Systems Design | Intelligent Systems Design | 12 |
| Data Science & Advanced Analytics | Data Science & Advanced Analytics | 12 |
| Internet of Things & AI | Internet of Things & AI | 9 |
| Digital Transformation & AI Strategy | Digital Transformation & AI Strategy | 6 |
| AI Ethics, Law & Governance | AI Ethics, Law & Governance | 6 |
| Stage / Project Work | Internship / Project Work | 6 |
| Tesi Magistrale | Master’s Final Dissertation | 9 |
| Total | 60 ECTS |
💻 Learning platform and delivery
The programme is delivered through the Prisca Sapientia LMS, including:
24/7 online access
fully asynchronous learning
recorded video lectures
downloadable technical materials
advanced AI laboratories
research supervision and project mentoring
📘 Study materials
All study materials are included and provided digitally:
advanced AI frameworks and toolkits
deep learning libraries and case studies
data science datasets and modelling exercises
cybersecurity and AI risk scenarios
cloud-based AI deployment environments
research-oriented academic resources
📝 Assessment system
Assessment is based on:
AI and machine learning projects
advanced data analytics assignments
cybersecurity and governance case analyses
technical reports and research papers
continuous module-based evaluation
📊 Master’s Final Dissertation
To obtain the Master’s degree, students must complete a Master’s Final Dissertation consisting of an advanced AI or digital systems project including:
design of an intelligent system
AI model development and validation
data management and analytics integration
security and governance assessment
technical documentation and evaluation
The dissertation is:
supervised remotely
submitted online
evaluated by an academic committee
🧑🎓 Admission requirements
Bachelor’s Degree (or equivalent, EQF Level 6)
CV evaluation
No entrance examination required
💰 Tuition fees and flexible payments
Tuition fee: €2,000 per year
Payment options:
single annual payment
monthly installments
quarterly installments
🎓 Degree awarded
Master’s Degree in Information Technologies & Artificial Intelligence
EQF Level 7 – 120 ECTS
Faculty of Computer Science & Digital Technologies
📞 Contacts
Admissions Office
📧 admissions@priscasapientia.university
Academic Secretariat
📧 secretariat@priscasapientia.university

