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 opportunitiesThere 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 detailsVisit official programme website
- 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
- Signal processing
- 24 months
Start dates & application deadlines
- Apply before
DisciplinesInformatics & Information Sciences Data Science & Big Data Artificial Intelligence View 10 other Masters in Data Science & Big Data in Sweden
We are not aware of any academic requirements for this programme.
- 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.)
International13519 EUR/yearTuition FeeBased on the original amount of 13519 EUR per year and a duration of 24 months.
EU/EEAFreeTuition 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.
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.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 6 months
Check the official programme website for potential updates.