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M.Sc. On Campus

Data Science

Chalmers University of Technology

24 months
Duration
13816 EUR/year
Free
Unknown
Tuition fee
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 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.​

Programme 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

Credits

120 ECTS

Delivered

On Campus

Academic requirements

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

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

To alway see correct tuition fees
  • International

    13816 EUR/year
    Tuition Fee
    Based on the tuition of 6908 EUR per semester during 24 months.
  • EU/EEA

    Free
    Tuition Fee
    Based on the tuition of 0 EUR per semester during 24 months.
  • 70.000 SEK

Living costs for Göteborg

7552 - 13932 SEK /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

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.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

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