Each intake has its own application route. We show official links so you can verify and apply confidently.
Check if your qualifications meet this program's admission requirements.
14 skills mapped from curriculum analysis
These skills are derived from curriculum analysis and industry alignment. Primary skills are core to the program; others are developed through coursework and projects.
Core skills
Additional skills
Thinking & Problem Solving
Other
Human Skills
Technical Skills
Total skills
14
Core skills
7
High demand
6
This is based on the AI, Data & Intelligent Systems Future Field and its subfields (not program‑specific promises). Use the official program page for curriculum details.
Why this field matters
Artificial intelligence, machine learning, data science, and computational systems
Career outcomes snapshot
A quick, visual overview of common outcomes in this field (roles + paths + subfields). It’s field-level context — not a promise for this specific program.
Roles
9
Paths
8
Subfields
3
Top roles
Typical paths
Subfields
Looking for a Master's in AI, Data & Intelligent Systems? Compare intakes above and verify curriculum details on the official programme page.
A–F framework evaluation • Each score is backed by evidence
6-dimension future-readiness evaluation
Future relevance
Is this program connected to fast-growing careers?
“The courses focus on the main technological aspects and challenges relevant for future IoT system developers.”
View sourceTech & data strength
Will you build strong technical skills (data, software, AI tools)?
“These include connected devices with limited resources; new computing paradigms; user experience; artificial intelligence (AI) and data management; software architecture and security, innovation, and business models.”
View sourcePeople skills
Does it build communication, teamwork, and leadership?
“The Computer Science: Internet of Things, Master’s Programme (two-year) is relevant for students with a bachelor’s degree in Computer Science, Computer Engineering, Computer and Information Science, Software Engineering, Informatics, Telecommunications, Electrical Engineering, or related fields.”
View sourcePractical learning
Do you learn by doing (projects, labs, real-world work)?
“The Research Methodology course prepares students for the master’s thesis project in the final semester by giving them a necessary understanding of research methodology in computer science.”
View sourceInnovation & entrepreneurship
Does it support innovation, startups, or building new things?
“Read the whole text A unique programme focusing on the main technological aspects of IoT, including human factors, innovation and business models Romina Spalazzese is an associate professor in computer science and has been involved in the development of the Computer Science: Internet of Things master’s programme.”
View sourceGlobal & ethical impact
Does it cover sustainability, ethics, and global perspective?
“This includes the technical skills on how the IoT can be integrated into different types of services, knowledge of the various opportunities and risks associated with the technology, and how the IoT relates to the global goals for sustainable development.”
View sourceHow we calculate these scores
Our A–F framework evaluates programs across 6 dimensions of future-readiness. Scores combine: field alignment (how the program's field connects to growing industries), curriculum signals (keywords, course structure, learning outcomes), and institution profile (research focus, industry partnerships). This program has 8 verified citations from official sources.
Learn more about our methodologyMojo can build a personalized shortlist based on your profile. Or talk to a human advisor.
Promise: no sales pressure — just clarity.
Industry insights verified by Mojo
Big-picture context for AI, Data & Intelligent Systems. These sources show why the field is growing — not specific program details.
AI and big data are the fastest-growing skills
World Economic Forum • 2025-01-01
AI and big data top the list of fastest-growing skills, followed closely by networks and cybersecurity as well as technology literacy.
Read sourceTechnology roles are among the fastest-growing jobs
World Economic Forum • 2025-01-01
Technology-related roles are the fastest-growing jobs in percentage terms, including Big Data Specialists, Fintech Engineers, AI and Machine Learning Specialists and Software and Application Developers
Read sourceAI is set to create around 11 million jobs by 2030
World Economic Forum • 2025-01-01
AI and information-processing technologies are expected to create about 11 million jobs by 2030 while displacing 9 million — a larger swing than any other technology.
Read sourceGenerative AI could add $2.6–4.4 trillion to the global economy each year
McKinsey & Company • 2023-06-01
McKinsey identifies 63 generative-AI use cases across 16 business functions that could deliver $2.6–4.4 trillion in value annually — raising the impact of all AI by 15–40%.
Read sourceCitations from official sources
The courses focus on the main technological aspects and challenges relevant for future IoT system developers.
View sourceThese include connected devices with limited resources; new computing paradigms; user experience; artificial intelligence (AI) and data management; software architecture and security, innovation, and business models.
View sourceThe Computer Science: Internet of Things, Master’s Programme (two-year) is relevant for students with a bachelor’s degree in Computer Science, Computer Engineering, Computer and Information Science, Software Engineering, Informatics, Telecommunications, Electrical Engineering, or related fields.
The Research Methodology course prepares students for the master’s thesis project in the final semester by giving them a necessary understanding of research methodology in computer science.
View sourceRead the whole text A unique programme focusing on the main technological aspects of IoT, including human factors, innovation and business models Romina Spalazzese is an associate professor in computer science and has been involved in the development of the Computer Science: Internet of Things master’s programme.
View sourceThis includes the technical skills on how the IoT can be integrated into different types of services, knowledge of the various opportunities and risks associated with the technology, and how the IoT relates to the global goals for sustainable development.
View sourceThese include connected devices with limited resources; new computing paradigms; user experience; artificial intelligence (AI) and data management; software architecture and security, innovation, and business models.
View source