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Check if your qualifications meet this program's admission requirements.
13 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
Total skills
13
Core skills
7
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?
“Do you want the skills to contribute to the future of autonomous systems, robotics, and other quickly developing technologies?”
View sourceTech & data strength
Will you build strong technical skills (data, software, AI tools)?
“The first semester contains four recommended courses: Neural Networks Stochastic Optimization Algorithms Simulation of Complex Systems Dynamical Systems The second semester has one recommended course, Computational Biology, and the opportunity to choose elective courses.”
View sourcePeople skills
Does it build communication, teamwork, and leadership?
“The final semester is dedicated to your individual master’s thesis, which can be completed in collaboration with a company or within academia.”
View sourcePractical learning
Do you learn by doing (projects, labs, real-world work)?
“The final semester is dedicated to your individual master’s thesis, which can be completed in collaboration with a company or within academia.”
View sourceInnovation & entrepreneurship
Does it support innovation, startups, or building new things?
Based on this program's field (AI, Data & Intelligent Systems), curriculum structure, and institution profile. How we score →
Global & ethical impact
Does it cover sustainability, ethics, and global perspective?
Based on this program's field (AI, Data & Intelligent Systems), curriculum structure, and institution profile. How we score →
How 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 4 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 sourceCitations from official sources
Do you want the skills to contribute to the future of autonomous systems, robotics, and other quickly developing technologies?
View sourceThe first semester contains four recommended courses: Neural Networks Stochastic Optimization Algorithms Simulation of Complex Systems Dynamical Systems The second semester has one recommended course, Computational Biology, and the opportunity to choose elective courses.
View sourceThe final semester is dedicated to your individual master’s thesis, which can be completed in collaboration with a company or within academia.
The final semester is dedicated to your individual master’s thesis, which can be completed in collaboration with a company or within academia.
View source