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·SE

Computational Methods in Engineering - Master's Programme

Master's120 ECTSA–F Score: 77.5
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
Skövde
on_campus
full_time

UACode: HS-41300Apply
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Your Eligibility

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

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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
Problem Solvingintermediate
Pythonadvanced
SQLintermediate
Statistical Analysisadvanced
adjust engineering designsintermediate
align antennae with receiving dishesadvanced

Additional skills

Technical Skills

JavaScript★★Control Systems★★

Other

3D modelling★algebra★★

Data & Analytics

Data Visualization★★

Total skills

12

Core skills

7

High demand

2

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

78/100
StrongEstimated
A82
B79
C79
D79
E73
F73
A
Frontier Connection
Excellent82
B
Tech Fluency
Strong79
C
Human Skills
Strong79
D
Hands-On Learning
Strong79
E
Innovation Culture
Strong73
F
Global Outlook
Strong73
Learn how we evaluate programs
A

Future relevance

Is this program connected to fast-growing careers?

82/100
✓ Program Evidence

“In the second school year, you will continue with the advanced courses related to finite element analysis and engineering optimization to enable you to modelling a structure, a process or a system to investigate their behaviours for pursuing the optimised settings.”

View source
B

Tech & data strength

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

79/100
✓ Program Evidence

“This programme will provide you with a solid foundation in multiple computational methods for the design, analyse, operation and maintenance of complex engineered and scientific systems.”

View source
C

People skills

Does it build communication, teamwork, and leadership?

79/100
✓ Program Evidence

“Computational Science and Engineering (CSE) is an emerging interdisciplinary field which has been growing rapidly in the last decades.”

View source
D

Practical learning

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

79/100
✓ Program Evidence

“The programme also provides engineering project course and master degree project course respectively at the end of each school year to allow you to solve the relevant engineering problems with different complexity by combining your theoretical knowledge and practical skills.”

View source
E

Innovation & entrepreneurship

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

73/100
Framework Score

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

F

Global & ethical impact

Does it cover sustainability, ethics, and global perspective?

73/100
Framework Score

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

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 4 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

In the second school year, you will continue with the advanced courses related to finite element analysis and engineering optimization to enable you to modelling a structure, a process or a system to investigate their behaviours for pursuing the optimised settings.

View source
human_skills

Computational Science and Engineering (CSE) is an emerging interdisciplinary field which has been growing rapidly in the last decades.

View source
hands_on

The programme also provides engineering project course and master degree project course respectively at the end of each school year to allow you to solve the relevant engineering problems with different complexity by combining your theoretical knowledge and practical skills.

View source
tech_data

This programme will provide you with a solid foundation in multiple computational methods for the design, analyse, operation and maintenance of complex engineered and scientific systems.

View source