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Overview
Data Science programme of Chalmers University of Technology is focusing on a highly cross-disciplinary field concerned with how to extract useful knowledge from data, for deeper understanding and decision support. It is based on a blend of methods in statistics and machine learning, together with computational techniques and algorithms for handling large-scale data. Examples of application areas include biology and other sciences, healthcare, business, finance and different kinds of internet data. Computational methods range from algorithms for collecting and handling large-scale data, statistical methods such as Bayesian modelling, to machine learning techniques such as deep neural networks.
AI is about building intelligent systems and is currently a rapidly evolving field thanks to recent advances in machine learning with large-scale data, where machine learning enables the computer to perform complex tasks without being explicitly programmed. Successful examples of this approach include machine translation, computer vision, game playing and self-driving vehicles.
Career opportunities
There is a huge demand for engineers with a solid foundation in Data Science and AI, and as the computational power and the amount of data available rapidly increases, the need will only continue to grow. Upon graduation you can pursue a wide range of career opportunities in software development and applying data science and AI in academia, industry and government.Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Data Science and Artificial Intelligence
- Nonlinear optimization
- Stochastic processes and Bayesian statistics
- Applied Machine Learning
- Design of AI systems
- Data Science Project
- Master’s thesis
- Machine learning, Data science and AI
- Statistics and stochastic processes
- High Performance Computing
- Bioinformatics
- Optimization
- Algorithms
- Signal processing
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30. 90
IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading). 6.5
Credits
120 ECTS
Delivered
On Campus
Disciplines
Data Science & Big Data Artificial Intelligence Machine Learning View 22 other Masters in Artificial Intelligence in SwedenAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30. 90
IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading). 6.5
Other requirements
General requirements
- Bachelor's degree with a Major in: Engineering, Technology, Science or Mathematics
- Prerequisites: Mathematics (at least 30cr., including Multivariable Analysis, Linear Algebra, and Mathematical Statistics), Programming in a General-Purpose Language (e.g. C/C++/Java/Haskell or similar (at least 7,5 cr.)), and Algorithms and/or Data Structures (at least 7,5 cr.)
Tuition Fee
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International
13519 EUR/yearTuition FeeBased on the original amount of 13519 EUR per year and a duration of 24 months. -
EU/EEA
FreeTuition FeeBased on the original amount of 0 EUR per year and a duration of 24 months.
- 140 000 SEK/academic year.
- EU/EEA Citizens are not required to pay fees.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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