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Computer Science: Applied Data Science, Master's Program (Two-Year)

Master's120 ECTSA–F Score: 75.2
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-68953Apply
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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 Learningadvanced
Data Engineeringintermediate
SQLadvanced
Statistical Analysisadvanced
Data Visualizationadvanced
analyse big dataintermediate

Additional skills

Tools & Platforms

Git★★PyTorch★★TensorFlow★★

Technical Skills

Cloud Computing★★MLOps★★

Data & Analytics

Business Analytics★★

Total skills

14

Core skills

8

High demand

7

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

75/100
StrongEstimated
A76
B76
C76
D71
E79
F73
A
Frontier Connection
Strong76
B
Tech Fluency
Strong76
C
Human Skills
Strong76
D
Hands-On Learning
Strong71
E
Innovation Culture
Strong79
F
Global Outlook
Strong73
Learn how we evaluate programs
A

Future relevance

Is this program connected to fast-growing careers?

76/100
✓ Program Evidence

“The Applied Data Science Master’s programme at Malmö University is designed for graduates and professionals aiming to become an expert in the fast-growing field of Data Science, which is arguably the most strategic field for today's emerging digital society.”

View source
B

Tech & data strength

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

76/100
✓ Program Evidence

“The teaching staff includes experts in artificial intelligence, data processing and analysis, software development for big data and cloud architectures, modern software methodologies, and data visualisation.”

View source
C

People skills

Does it build communication, teamwork, and leadership?

76/100
✓ Program Evidence

“This interdisciplinary two-year master’s programme will provide you with understanding of the state-of-the-art methods and algorithms of data science through hands-on experience with the latest tools and systems in the industry.”

View source
D

Practical learning

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

71/100
✓ Program Evidence

“You will have the opportunity to conduct original and innovative research, working with industry partners and academia during the capstone project course and thesis work.”

View source
E

Innovation & entrepreneurship

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

79/100
✓ Program Evidence

“Moreover, Malmö is one of Europe’s leading cities when it comes to innovation and many of our alumni go on to become successful entrepreneurs.”

View source
F

Global & ethical impact

Does it cover sustainability, ethics, and global perspective?

73/100
✓ Program Evidence

“We provide students with the framework to analyse these concerns and the means for using ethical reasoning to suggest improvements to data-driven systems and practices.”

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

The Applied Data Science Master’s programme at Malmö University is designed for graduates and professionals aiming to become an expert in the fast-growing field of Data Science, which is arguably the most strategic field for today's emerging digital society.

View source
tech_data

The teaching staff includes experts in artificial intelligence, data processing and analysis, software development for big data and cloud architectures, modern software methodologies, and data visualisation.

View source
human_skills

This interdisciplinary two-year master’s programme will provide you with understanding of the state-of-the-art methods and algorithms of data science through hands-on experience with the latest tools and systems in the industry.

View source
hands_on

You will have the opportunity to conduct original and innovative research, working with industry partners and academia during the capstone project course and thesis work.

View source
innovation

Moreover, Malmö is one of Europe’s leading cities when it comes to innovation and many of our alumni go on to become successful entrepreneurs.

View source
ethics_sustainability

We provide students with the framework to analyse these concerns and the means for using ethical reasoning to suggest improvements to data-driven systems and practices.

View source