What will I learn?

Data Science is 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.

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. Therefore, with an increased demand for advanced information systems and computer applications in a wide range of areas, Data Science and AI are becoming necessary ingredients in software development in general.

Programme aim

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.

Programme description

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.

The first year includes four compulsory courses: an introduction to Data Science and AI, Nonlinear optimization, Stochastic processes and Bayesian statistics, Applied machine learning, and Design of AI systems. This will give you an introduction and a good foundation for the field. The purely mathematical courses in statistics and optimization are important for data science and AI in several ways and form the mathematical foundations of machine learning. The applied courses will give you a good combination of applied theory and hands-on experiences. The courses will also include considerations of ethical, social and environmental issues.

​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, indust

Which department am I in?

Department of Computer Science and Engineering

Study options

Full Time (2 Years)

Tuition fees
SEK140,000.00 (14,924 US$) per year
EU/EEA Citizens are not required to pay fees.

*Price shown is for indicative purposes, please check with institution

Start date

31 August 2020

Venue

Chalmers University of Technology

Johanneberg Campus,

Chalmersplatsen 4,

GOTHENBURG,

SE-412 96, Sweden

Entry requirements

For students from United States

To fulfill the general entry requirement for the second cycle (master’s level), the prospective student must either hold a degree of Bachelor or Degree of Bachelor of Science in Engineering (minimum 3 years/ 180 hp) in Science, Engineering, Technology or Architecture from an internationally recognized university, according to the official guidelines by the Swedish Council for Higher Education published at universityadmissions.se. Programme-specific requirements include a bachelor’s degree (or the equivalent) with a major in (one or several alternatives will be listed) and prerequisites (one or several courses selected as necessary for the specific programme) and for three particular programmes a portfolio is required. English language requirement: IELTS (academic training): 6.5 (with no part of the test below 5.5); TOEFL (Internet based): 90 (with a minimum of 22 on the written part); TOEFL (paper based): 575 (with a minimum of 4.5 on the written part); Pearson PTE Academic - Score of 62 (writing 61).

For international students

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.).

Accepted tests and minimum results required: IELTS Academic: an overall mark of 6.5 and no section below 5.5; TOEFL Paper-based: Score of 4.5 (scale 1-6) in written test, total score of 575, TOEFL Internet-based: Score of 20 (scale 0-30) in written test, total score of 90; Pearson PTE Academic: Score of 62 (writing 61); C1 Advanced (CAE), Cambridge English: Advanced (Certificate in Advanced English), or Cambridge ESOL Level 2 Certificate in ESOL International, Level C1.

Find your nearest IELTS test centre and test dates

There may be different IELTS requirements depending on your chosen course.

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About this uni

Students at Chalmers are highly sought after and a lot of students are offered jobs long before graduating.

  • Situated in Gothenburg, Sweden
  • Home to 10,000 full-time students
  • Internationally sought-after teaching environment
  • Offers study options across 13 departments