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·SE

Computer Science: Innovation for Change in a Digital Society, Master's Program (Two-Year)

Master's120 ECTSA–F Score: 77.2
AI, Data & Intelligent SystemsPrimary
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Official page

Intakes & How to Apply

Each intake has its own application route. We show official links so you can verify and apply confidently.

Autumn 2026on_campusfull_time
Autumn 2026on_campusfull_time
Autumn 2026
Malmö
on_campus
full_time

UACode: MAU-68951Apply
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Your Eligibility

Check if your qualifications meet this program's admission requirements.

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Skills you'll develop

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

Machine Learningadvanced
Pythonadvanced
Deep Learningintermediate
Innovation-Driven Entrepreneurshipadvanced
Ethical Reasoningintermediate
Statistical Analysisintermediate
Data Visualizationintermediate
align antennae with receiving dishesintermediate

Additional skills

Thinking & Problem Solving

Critical Thinking★★Problem Solving★★Design Thinking★★

Technical Skills

JavaScript★★SQL★★

Human Skills

Collaboration★★

Total skills

14

Core skills

8

High demand

5

What you'll become (field context)

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

AI, Data & Intelligent Systems

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

Research ScientistPhD ResearcherAI Safety ResearcherData ScientistAnalytics EngineerBusiness Intelligence Analyst

Typical paths

  • PhD Computer Science
  • MSc AI (research track)
  • MSc Cognitive Science
  • MSc Data Science

Subfields

AI ResearchData Science & AnalyticsMachine Learning Engineering

Looking for a Master's in AI, Data & Intelligent Systems? Compare intakes above and verify curriculum details on the official programme page.

Future-Readiness Score

A–F framework evaluation • Each score is backed by evidence

A-F Score Overview

6-dimension future-readiness evaluation

77/100
StrongEstimated
A73
B76
C76
D83
E82
F73
A
Frontier Connection
Strong73
B
Tech Fluency
Strong76
C
Human Skills
Strong76
D
Hands-On Learning
Excellent83
E
Innovation Culture
Excellent82
F
Global Outlook
Strong73
Learn how we evaluate programs
A

Future relevance

Is this program connected to fast-growing careers?

73/100
✓ Program Evidence

“By integrating advanced computer science knowledge with skills in innovation and business, as well as change and sustainability management, the master’s programme prepare you for a future career as a driver of innovation and a catalyst for positive change.”

View source
B

Tech & data strength

Will you build strong technical skills (data, software, AI tools)?

76/100
✓ Program Evidence

“The programme is also connected to research environments at the Department of Computer Science and Media Technology, including the Internet of Things and People research centre, the Software Centre, and the Data Society Research Programme: Advancing Digitalisation Studies.”

View source
C

People skills

Does it build communication, teamwork, and leadership?

76/100
✓ Program Evidence

“Organisations need new capabilities and competencies To survive the rapid change today, organisations need new capabilities and competencies in fields such as digitalisation, business development, innovation, technology management and leadership.”

View source
D

Practical learning

Do you learn by doing (projects, labs, real-world work)?

83/100
✓ Program Evidence

“Close Challenge-based curriculum and real-world cases During the programme, theoretical studies are interspersed with practical work.”

View source
E

Innovation & entrepreneurship

Does it support innovation, startups, or building new things?

82/100
✓ Program Evidence

“This could for example be students with a bachelor’s degree in programming, systems development or interaction design, combined with an interest in innovation, entrepreneurship, business development and management.”

View source
F

Global & ethical impact

Does it cover sustainability, ethics, and global perspective?

73/100
✓ Program Evidence

“Close Prepared for a career as a digital change agent By the time you graduate, you will have the skills to transform ideas into solutions, the entrepreneurial mindset to navigate the business landscape, and the ability to create sustainable solutions that make a difference.”

View source

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 6 verified citations from official sources.

Learn more about our methodology

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Why This Field Matters

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

✓ Verified

AI and big data top the list of fastest-growing skills, followed closely by networks and cybersecurity as well as technology literacy.

Read source

Technology roles are among the fastest-growing jobs

World Economic Forum • 2025-01-01

✓ Verified

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 source

Program Evidence

Citations from official sources

frontier

By integrating advanced computer science knowledge with skills in innovation and business, as well as change and sustainability management, the master’s programme prepare you for a future career as a driver of innovation and a catalyst for positive change.

View source
tech_data

The programme is also connected to research environments at the Department of Computer Science and Media Technology, including the Internet of Things and People research centre, the Software Centre, and the Data Society Research Programme: Advancing Digitalisation Studies.

View source
human_skills

Organisations need new capabilities and competencies To survive the rapid change today, organisations need new capabilities and competencies in fields such as digitalisation, business development, innovation, technology management and leadership.

View source
hands_on

Close Challenge-based curriculum and real-world cases During the programme, theoretical studies are interspersed with practical work.

View source
innovation

This could for example be students with a bachelor’s degree in programming, systems development or interaction design, combined with an interest in innovation, entrepreneurship, business development and management.

View source
ethics_sustainability

Close Prepared for a career as a digital change agent By the time you graduate, you will have the skills to transform ideas into solutions, the entrepreneurial mindset to navigate the business landscape, and the ability to create sustainable solutions that make a difference.

View source