MasterFaculty of Cybersecurity, Privacy & Digital Trust

Master in AI Security & Trustworthy Machine Learning

Benvenuti! Welcome, future guardians of the digital realm. Our mission is to train you to not just understand vulnerabilities, but to defend against them, building the systems that will ensure the safety and trust of our interconnected world.

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Level: Master
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

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Edition

The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Adversarial ML, Secure AI Systems, Trust Frameworks, Machine Learning Defenses

Practical focus

Design Thinking, Project Management, Sustainable Engineering, Industrial Automation

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Deutsche Bank
Internships in quantitative finance and risk management
The European Central Bank
Internships in financial stability and economic analysis

Career opportunities

Policy Analyst
In government or a think tank
Political Consultant
Advising on political campaigns
Diplomat
In a foreign service or international organization
Journalist
Covering politics and international relations

Jobs and projects

Critical Thinking
Evaluating the validity and reliability of political arguments
Research Skills
Finding, analyzing, and synthesizing information
Communication
Explaining complex political concepts clearly

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- You will gain the skills to not only understand risk, but to help organizations make smarter, more sustainable decisions. You will become a trusted advisor in the world of finance and insurance.
Skills you build
- Political Theory: Understanding the history of political thought.
- International Relations: Analyzing the dynamics of global affairs.
- Data Analysis: Interpreting and using data to inform political models.
- Public Policy: Designing and implementing public policies.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Master in AI Security & Trustworthy Machine Learning

01Foundations of AI Security
1. FoundationsFoundations of Foundations of AI Security
  The learner can you will gain the skills to not only understand risk, but to help organizations make smarter, more sustainable decisions, as applied to Foundations of AI Security.
  The learner can you will become a trusted advisor in the world of finance and insurance, as applied to Foundations of AI Security.
2. MethodsMethods in Foundations of AI Security
  The learner can apply a method from Foundations of AI Security to a documented case.
  The learner can select an appropriate method from Foundations of AI Security for a stated problem.
3. ApplicationApplication of Foundations of AI Security
  The learner can evaluate a practice of Foundations of AI Security against a stated criterion.
  The learner can transfer Foundations of AI Security to a new documented context.
02Adversarial Machine Learning
1. FoundationsFoundations of Adversarial Machine Learning
  The learner can explain the core terms of Adversarial Machine Learning.
  The learner can distinguish related ideas inside Adversarial Machine Learning.
2. MethodsMethods in Adversarial Machine Learning
  The learner can apply a method from Adversarial Machine Learning to a documented case.
  The learner can select an appropriate method from Adversarial Machine Learning for a stated problem.
3. ApplicationApplication of Adversarial Machine Learning
  The learner can evaluate a practice of Adversarial Machine Learning against a stated criterion.
  The learner can transfer Adversarial Machine Learning to a new documented context.
03ML Pipeline Defense and Robustness
1. FoundationsFoundations of ML Pipeline Defense and Robustness
  The learner can explain the core terms of ML Pipeline Defense and Robustness.
  The learner can distinguish related ideas inside ML Pipeline Defense and Robustness.
2. MethodsMethods in ML Pipeline Defense and Robustness
  The learner can apply a method from ML Pipeline Defense and Robustness to a documented case.
  The learner can select an appropriate method from ML Pipeline Defense and Robustness for a stated problem.
3. ApplicationApplication of ML Pipeline Defense and Robustness
  The learner can evaluate a practice of ML Pipeline Defense and Robustness against a stated criterion.
  The learner can transfer ML Pipeline Defense and Robustness to a new documented context.
04Research Seminar in AI Security
1. FoundationsFoundations of Research Seminar in AI Security
  The learner can explain the core terms of Research Seminar in AI Security.
  The learner can distinguish related ideas inside Research Seminar in AI Security.
2. MethodsMethods in Research Seminar in AI Security
  The learner can apply a method from Research Seminar in AI Security to a documented case.
  The learner can select an appropriate method from Research Seminar in AI Security for a stated problem.
3. ApplicationApplication of Research Seminar in AI Security
  The learner can evaluate a practice of Research Seminar in AI Security against a stated criterion.
  The learner can transfer Research Seminar in AI Security to a new documented context.
05The Ethics of AI in Cybersecurity
1. FoundationsFoundations of The Ethics of AI in Cybersecurity
  The learner can explain the core terms of The Ethics of AI in Cybersecurity.
  The learner can distinguish related ideas inside The Ethics of AI in Cybersecurity.
2. MethodsMethods in The Ethics of AI in Cybersecurity
  The learner can apply a method from The Ethics of AI in Cybersecurity to a documented case.
  The learner can select an appropriate method from The Ethics of AI in Cybersecurity for a stated problem.
3. ApplicationApplication of The Ethics of AI in Cybersecurity
  The learner can evaluate a practice of The Ethics of AI in Cybersecurity against a stated criterion.
  The learner can transfer The Ethics of AI in Cybersecurity to a new documented context.
06Design Thinking Workshops
1. FoundationsFoundations of Design Thinking Workshops
  The learner can explain the core terms of Design Thinking Workshops.
  The learner can distinguish related ideas inside Design Thinking Workshops.
2. MethodsMethods in Design Thinking Workshops
  The learner can apply a method from Design Thinking Workshops to a documented case.
  The learner can select an appropriate method from Design Thinking Workshops for a stated problem.
3. ApplicationApplication of Design Thinking Workshops
  The learner can evaluate a practice of Design Thinking Workshops against a stated criterion.
  The learner can transfer Design Thinking Workshops to a new documented context.
07Project Management for Engineers
1. FoundationsFoundations of Project Management for Engineers
  The learner can explain the core terms of Project Management for Engineers.
  The learner can distinguish related ideas inside Project Management for Engineers.
2. MethodsMethods in Project Management for Engineers
  The learner can apply a method from Project Management for Engineers to a documented case.
  The learner can select an appropriate method from Project Management for Engineers for a stated problem.
3. ApplicationApplication of Project Management for Engineers
  The learner can evaluate a practice of Project Management for Engineers against a stated criterion.
  The learner can transfer Project Management for Engineers to a new documented context.
08Professional Skills for Engineers
1. FoundationsFoundations of Professional Skills for Engineers
  The learner can explain the core terms of Professional Skills for Engineers.
  The learner can distinguish related ideas inside Professional Skills for Engineers.
2. MethodsMethods in Professional Skills for Engineers
  The learner can apply a method from Professional Skills for Engineers to a documented case.
  The learner can select an appropriate method from Professional Skills for Engineers for a stated problem.
3. ApplicationApplication of Professional Skills for Engineers
  The learner can evaluate a practice of Professional Skills for Engineers against a stated criterion.
  The learner can transfer Professional Skills for Engineers to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

I am a cybersecurity engineer who believes that a strong defense is the foundation of a resilient digital world. My work focuses on securing networked systems, detecting threats, and hardening infrastructure end-to-end to protect against the most sophisticated cyber attacks.

Applied mentorship

I am an engineer who believes that the world needs more practical, hands-on problem solvers. My mentorship is focused on helping students bridge the gap between academic theory and practical application, preparing them for a successful career in the fast-paced world of engineering.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

• Blog Post: 'The Algorithm of Security: How AI is Changing Cyber Defense' - An accessible essay on the use of AI and machine learning to analyze security data and detect threats. · • Blog Post: 'Why Every Engineer Needs a Cybersecurity Mindset' - Discusses how data can be used to design more ethical and effective engineering strategies. · • Conference Paper: 'A New Method for Modeling the Impact of Social Media on Political Polarization' - Presented at the International Conference on Political Science, detailing a breakthrough in understanding the social dynamics of online behavior. · • Journal Article: 'The Role of International Institutions in Post-Conflict Reconstruction' - Published in the Journal of International Relations, this paper provides a framework for understanding how international institutions can aid in post-conflict recovery. · • Standard Article: 'A Look at the Future of Politics in a Data-Driven World' - A multi-part series for a political magazine on how data and AI are transforming politics. · • Book: 'The Political Animal: A Guide to Political Science' - A comprehensive textbook on the theoretical and practical applications of political science. · • Total Score: 28/30 · • Kairos Badge: 🥇

R / 02

Mentor practice lens

• Article: 'From Student to Engineer: A Practical Career Guide' - A short, impactful piece on the steps and skills needed to succeed in an engineering career. · • Guide: 'A Beginner's Guide to Using R for Historical Data Analysis' - A practical tutorial for new students on the basics of a key bioinformatics programming language. · • Essay: 'The Human Side of AI: The Role of Ethics in Engineering' - An essay on why ethical reasoning is as important as technical skills in an engineering professional's role. · • Total Score: 28/30 · • Kairos Badge: 🥇

Adaptive capability

Professor superpower

GAF-powered Threat Detection and Response

Adaptive capability

Mentor superpower

GAF-powered Career Pathway Optimization

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Matteo Rinaldi

Adversarial ML, Secure AI Systems, Trust Frameworks, Machine Learning Defenses

Meet your professor Open the classroom

AI Super Mentor

Dr. Sofia Duarte

Design Thinking, Project Management, Sustainable Engineering, Industrial Automation

Meet your mentor Open the classroom

Same faculty and level

Related programs

Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor	Master This programme	Doctorate
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

Named tuition lists Add-on services

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Master in AI Security & Trustworthy Machine Learning

Academic focus

Practical focus

Deutsche Bank

The European Central Bank

Policy Analyst

Political Consultant

Diplomat

Journalist

Critical Thinking

Research Skills

Communication

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Matteo Rinaldi

Dr. Sofia Duarte

Find the program that expands your universe.