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Computer science - algorithms, languages and logic (master's programme)

Master's120 ECTSA–F Score: 75.8
AI, Data & Intelligent SystemsPrimary
Build My ShortlistOfficial 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
Göteborg
on_campus
full_time

UACode: CTH-02009Apply
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Your Eligibility

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

Checking eligibility...

Skills you'll develop

12 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 Learningintermediate
Pythonintermediate
JavaScriptintermediate
algorithmsadvanced

Additional skills

Thinking & Problem Solving

Critical Thinking★★★Problem Solving★★★Systems Thinking★★

Technical Skills

Deep Learning★★SQL★★TypeScript★

Tools & Platforms

Git★

Data & Analytics

Statistical Analysis★★

Total skills

12

Core skills

4

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

76/100
StrongEstimated
A79
B88
C73
D75
E73
F67
A
Frontier Connection
Strong79
B
Tech Fluency
Excellent88
C
Human Skills
Strong73
D
Hands-On Learning
Strong75
E
Innovation Culture
Strong73
F
Global Outlook
Good67
Learn how we evaluate programs
A

Future relevance

Is this program connected to fast-growing careers?

79/100
✓ Program Evidence

“The programme also gives you an excellent background for future PhD studies in computing, which can lead to a career as an academic researcher.”

View source
B

Tech & data strength

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

88/100
✓ Program Evidence

“The courses included in the programme plan handle topics such as artificial intelligence, computer security and software technology.”

View source
C

People skills

Does it build communication, teamwork, and leadership?

73/100
Framework Score

Based on this program's field (AI, Data & Intelligent Systems), curriculum structure, and institution profile. How we score →

D

Practical learning

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

75/100
✓ Program Evidence

“Some of the positions you can have after graduation are programmer, software developer, software architect, project leader and entrepreneur.”

View source
E

Innovation & entrepreneurship

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

73/100
✓ Program Evidence

“Some of the positions you can have after graduation are programmer, software developer, software architect, project leader and entrepreneur.”

View source
F

Global & ethical impact

Does it cover sustainability, ethics, and global perspective?

67/100
✓ Program Evidence

“Programme structure Profile tracks Sustainable development Career You will acquire a strong computer science background and thus gain access to a wide range of opportunities in the information technology industry.”

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 5 verified citations from official sources.

Learn more about our methodology

Need help deciding?

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Promise: no sales pressure — just clarity.

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 programme also gives you an excellent background for future PhD studies in computing, which can lead to a career as an academic researcher.

View source
tech_data

The courses included in the programme plan handle topics such as artificial intelligence, computer security and software technology.

View source
hands_on

Some of the positions you can have after graduation are programmer, software developer, software architect, project leader and entrepreneur.

View source
innovation

Some of the positions you can have after graduation are programmer, software developer, software architect, project leader and entrepreneur.

View source
ethics_sustainability

Programme structure Profile tracks Sustainable development Career You will acquire a strong computer science background and thus gain access to a wide range of opportunities in the information technology industry.

View source