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Overview
Data science is a highly cross-disciplinary field concerned with how to extract useful knowledge from data and is based on a blend of methods in statistics and machine learning, together with computational techniques and algorithms to handle large-scale data.
AI is about building intelligent autonomous systems and is, thanks to recent advances in machine learning with large-scale data, a rapidly evolving field.
Through their use of large-scale data and machine learning, the fields of Data Science and AI are closely connected. They are also connected in their application since it is common to first collect and analyze data to better understand the problem, and then to build algorithms and systems for decision support and autonomous decision-making.
The aim of Data Science programme offered at Chalmers University of Technology
The overall aim of the programme is to educate engineers who can undertake a wide variety of challenges in handling and analyzing different kinds of data, and who are able to use and develop software in complex data-intensive and AI-related applications. This requires a good understanding of both theory and practice, including the possibilities and limitations of existing and evolving technologies, and how to responsibly apply these in various situations.
The courses of the programme will provide a solid foundation in machine learning, statistics and optimization, with an in-depth understanding of the mathematical modelling techniques used for extracting information from large sets of complex data, and with the computational skills and algorithms for working with such data. You will also gain familiarity with a range of common problems within Data Science and AI which can be solved with such techniques.
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.More information
Visit official programme websiteProgramme Structure
Courses include:
- Introduction to 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
- Deadline passed
-
Language
English
Credits
120 alternative credits
Delivered
On Campus
Disciplines
Informatics & Information Sciences Data Science & Big Data View 24 other Masters in Informatics & Information Sciences 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
PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90. 62
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
-
International
13565 EUR/yearTuition FeeBased on the original amount of 13565 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
Chalmers University of Technology offers numerous scholarship opportunities. Some of these are administered by the university itself and others by external institutions.
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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