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.
15 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
Human Skills
Tools & Platforms
Total skills
15
Core skills
8
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?
“Tips for future students Michael thinks you should study this programme if you are interested in interdisciplinary research, hands-on use of digital methods, and want to learn about different ways for how to approach a broad range of issues in society.”
View sourceTech & data strength
Will you build strong technical skills (data, software, AI tools)?
“Link to thesis: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-114863 International possibilities During the course of the programme, you can choose to study abroad through exchange studies to gain international experience.”
View sourcePeople skills
Does it build communication, teamwork, and leadership?
“It further stretches beyond academia, mainly through collaboration with the cultural heritage sector.”
View sourcePractical learning
Do you learn by doing (projects, labs, real-world work)?
“Students are responsible for finding an institution or private business for their final thesis project, anywhere in the world, in consultation with the teachers on the programme.”
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?
“Semester 2: Provides an introduction to complexities surrounding digitisation of cultural heritage, including issues related to ethics, politics and policies in the digital world, as well as technologies for interaction with cultural heritage and other humanities research data, and linking the data in the Semantic Web.”
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 5 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
Tips for future students Michael thinks you should study this programme if you are interested in interdisciplinary research, hands-on use of digital methods, and want to learn about different ways for how to approach a broad range of issues in society.
View sourceLink to thesis: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-114863 International possibilities During the course of the programme, you can choose to study abroad through exchange studies to gain international experience.
View sourceIt further stretches beyond academia, mainly through collaboration with the cultural heritage sector.
Students are responsible for finding an institution or private business for their final thesis project, anywhere in the world, in consultation with the teachers on the programme.
View sourceSemester 2: Provides an introduction to complexities surrounding digitisation of cultural heritage, including issues related to ethics, politics and policies in the digital world, as well as technologies for interaction with cultural heritage and other humanities research data, and linking the data in the Semantic Web.
View source