AI is increasing in importance across virtually all sectors: healthcare, communications, transport, manufacturing, finance, scientific research. There is a huge demand across all these industries for engineers who understand the underlying technology and the wider consequences of its use. You will begin with a core foundation in machine learning, mathematics and algorithms. This ensures a deep understanding of how modern AI systems are designed, trained, and deployed, building the analytical skills needed to understand their strengths and limitations. |
These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
To fulfil the general entry requirement for a master's programme at Chalmers (at advanced level/the second cycle), the prospective student must hold a degree that is equivalent to a Swedish Bachelor's degree (minimum 3 years, 180 Swedish higher education credits) in either Science, Engineering, Technology
Prerequisites: Mathematics (at least 30 cr. including Multivariable Analysis, Linear Algebra, Mathematical Statistics), Programming (at least 6 cr. in a general-purpose language e.g., C, C++, Python, Java, Haskell or similar), Algorithms and/or Data Structures (at least 6 cr.), at least 6 cr. Data science/AI/Machine learning |
| Additional Admission Requirements: | - Letter(s) of Reference
- Resume/Curriculum Vitae
- Statement of Research Interests
- Work Experience
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* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.