Studyportals

Data Science

Chalmers University of Technology

M.Sc.
24 months
Duration
13565 EUR/year
Free
Unknown
Tuition fee
Passed
Unknown
Apply date
Unknown
Start date

About

With the digital revolution, Data Science and Artificial Intelligence (AI) has become an important part of our lives and in society as a whole. With a solid foundation in machine learning, and in understanding the diverse problems of Data Science and AI, you will have a wide range of career opportunities to choose from. Data Science programme is offered at Chalmers University of Technology. 

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.​

Programme 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

Language

English

Credits

120 alternative credits

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

TOEFL admission 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 admission requirements 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 admission requirements 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/year
    Tuition Fee
    Based on the original amount of 13565 EUR per year and a duration of 24 months.
  • EU/EEA

    Free
    Tuition Fee
    Based 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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Data Science
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