Master's in artificial intelligence (AI) abroad: programmes, requirements and careers

Short answer: Master's programmes in artificial intelligence (AI) are among the most sought-after fields in recent years. Admission usually requires a bachelor's in computer science, maths, engineering or physics, a strong maths background (linear algebra, probability, calculus) and programming skills (often Python).

Types of programmes

• Artificial intelligence and machine learning.
• AI programmes combined with data science.
• Robotics and autonomous systems.
• Natural language processing (NLP) and computer vision.
• Short or interdisciplinary programmes on AI ethics, law and governance.

Choosing a country

• UK: 1-year intensive master's programmes.
• Germany and the Netherlands: research-oriented 2-year programmes with low fees at public universities.
• Canada: strong AI research centres and industry links.
• Estonia, Finland, Sweden: small countries strong in digital technologies. See: studying in Estonia.
• USA: wide choice, high cost, strong job market.

Admission requirements

• A relevant bachelor's degree and a high average grade.
• A transcript showing maths and statistics subjects.
• Programming experience: projects, GitHub, course certificates.
• English (IELTS, TOEFL) and sometimes the GRE. See: who needs GRE and GMAT.
• Motivation letter: show specifically which AI problem interests you.

Coming from a different field

There are "conversion" or applied AI programmes for those coming from business, economics or the humanities. But to move into technical programmes you first need to strengthen your maths and Python foundations.

Scholarships and careers

DAAD, Chevening, Erasmus Mundus and university scholarships also accept applications for AI master's. Graduates can work as ML engineers, data scientists, researchers and AI product managers. See: IT education abroad.

Frequently asked questions

Is strong maths required for an AI master's?

For technical programmes, yes. Linear algebra, probability and optimisation are core subjects.

What is the difference between data science and AI?

Data science focuses more on analysing data, while AI focuses on building systems that learn and make decisions. See: data science master's abroad.

Note: admission requirements and programme content vary by university. Check the programme's official page before applying.

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