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.
19 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
Technical Skills
Other
Total skills
19
Core skills
5
High demand
9
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?
“These core courses will build your background for advanced courses in different profile areas like distributed systems, cybersecurity, machine learning, and cyber-physical systems.”
View sourceTech & data strength
Will you build strong technical skills (data, software, AI tools)?
“Research The faculty behind the programme has an established track record of academic, industrial, and scientific accomplishments in research areas like for example cybersecurity, parallel data streaming, software and web security, dependable real-time systems, cloud computing, programming languages and security.”
View sourcePeople skills
Does it build communication, teamwork, and leadership?
“With skills tailored to the demands of growing industrial and governmental sectors, you’ll be ready to make an impact in key industries like healthcare, e-commerce, aerospace, automotive, and telecommunications.”
View sourcePractical learning
Do you learn by doing (projects, labs, real-world work)?
“Programme structure Sustainable development Career After graduation, you'll have the practical, up-to-date expertise that leading ICT companies seek for developing complex computer systems.”
View sourceInnovation & entrepreneurship
Does it support innovation, startups, or building new things?
“For those aiming for leadership, the role of chief technology officer provides the chance to drive innovation and shape a company’s technological direction.”
View sourceGlobal & ethical impact
Does it cover sustainability, ethics, and global perspective?
“Second, designing a secure system requires you to address challenges such as anticipating cyber threats, securely handling sensitive data, implementing protective measures, understanding ethical considerations, and complying with industry standards.”
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 6 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
These core courses will build your background for advanced courses in different profile areas like distributed systems, cybersecurity, machine learning, and cyber-physical systems.
View sourceResearch The faculty behind the programme has an established track record of academic, industrial, and scientific accomplishments in research areas like for example cybersecurity, parallel data streaming, software and web security, dependable real-time systems, cloud computing, programming languages and security.
View sourceThinking & Problem Solving
Domain Knowledge
With skills tailored to the demands of growing industrial and governmental sectors, you’ll be ready to make an impact in key industries like healthcare, e-commerce, aerospace, automotive, and telecommunications.
View sourceProgramme structure Sustainable development Career After graduation, you'll have the practical, up-to-date expertise that leading ICT companies seek for developing complex computer systems.
View sourceFor those aiming for leadership, the role of chief technology officer provides the chance to drive innovation and shape a company’s technological direction.
View sourceSecond, designing a secure system requires you to address challenges such as anticipating cyber threats, securely handling sensitive data, implementing protective measures, understanding ethical considerations, and complying with industry standards.
View source