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.
9 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
Technical Skills
Business & Strategy
Data & Analytics
Other
Total skills
9
Core skills
4
High demand
3
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?
“In this future-focused course, you'll learn key concepts , from linear regression to neural networks , while building hands-on coding skills in Python .”
View sourceTech & data strength
Will you build strong technical skills (data, software, AI tools)?
“Jesper Jacobsson, associate professor In your second year , you'll meet me in the elective course Artificial intelligence for materials science , where we explore how machine learning and AI can solve real- world problems in materials physics and chemistry.”
View sourcePeople skills
Does it build communication, teamwork, and leadership?
“Strong industry and international collaborations You will benefit from extensive connections with internationally renowned research groups , industry partners and spin-offs, offering you valuable networking opportunities and real- world experience .”
View sourcePractical learning
Do you learn by doing (projects, labs, real-world work)?
“Immersive learning experience You will learn self-sufficiency in project work , including synthesising , theorising , characterising , and analysing materials, preparing you for successful careers in materials physics and nanoscience .”
View sourceInnovation & entrepreneurship
Does it support innovation, startups, or building new things?
“Vibrant academic community Linköping University offers a supportive and dynamic environment , fostering collaboration and innovation among students and faculty .”
View sourceGlobal & ethical impact
Does it cover sustainability, ethics, and global perspective?
“We will also connect the dots between nanotech and global sustainability, showing how it supports the UN's goals for a better future.”
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
In this future-focused course, you'll learn key concepts , from linear regression to neural networks , while building hands-on coding skills in Python .
View sourceJesper Jacobsson, associate professor In your second year , you'll meet me in the elective course Artificial intelligence for materials science , where we explore how machine learning and AI can solve real- world problems in materials physics and chemistry.
View sourceStrong industry and international collaborations You will benefit from extensive connections with internationally renowned research groups , industry partners and spin-offs, offering you valuable networking opportunities and real- world experience .
Immersive learning experience You will learn self-sufficiency in project work , including synthesising , theorising , characterising , and analysing materials, preparing you for successful careers in materials physics and nanoscience .
View sourceVibrant academic community Linköping University offers a supportive and dynamic environment , fostering collaboration and innovation among students and faculty .
View sourceWe will also connect the dots between nanotech and global sustainability, showing how it supports the UN's goals for a better future.
View source