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What will I learn?

Programme aim

As a student of this master’s programme, you will develop a solid grasp of computer systems and networks through a broad, yet in-depth, training experience in the field of Computer Science and Engineering.

You will acquire theoretical knowledge and engineering skills in:

  • ​Cyber Security
  • Computer Systems Engineering
  • Dependable Real-Time Systems
  • Distributed Computing and Systems

Programme description

The programme instils a set of essential skills that prepare you to work in Information and Computing Technology (ICT).

Courses in Computer Networks, Parallel and Distributed Systems, Computer Architecture, Cyber Security, and Real-Time Systems are taught by internationally recognised faculty in Computer Science and Engineering. In addition to academic training in skills related to algorithm design, programming languages and computer systems engineering, you will gain hands-on experience with emerging technologies and have opportunities to participate in cutting-edge research. This programme is the first within Chalmers to provide the necessary preparation to contribute to ubiquitous computing, cyber-physical systems, and other rapidly growing areas in the expanding ICT industry. If you are interested in becoming a technology expert in these and other areas, the programme provides an excellent background for pursuing doctoral studies.

Why apply

You will learn the design methodologies used to construct computer systems and networks. Such methodologies include Fault-Tolerant Distributed Algorithm Design, Concurrent Programming, Computer Systems Engineering and Secure and Dependable Systems Design. The coursework is designed to develop both your theoretical knowledge and practical expertise.

For example, you will learn how to:

  • design a system based on new and existing components (Systems Engineering)
  • understand low-level hardware/software interaction, develop systems and applications (Programming)
  • analyse performance and system design limitations (Distributed Computing) and
  • assess, evaluate, and design systems, programs and applications to increase security and dependability (Systems Design).

Rather than concentrating on a single aspect of computer systems and networks, the courses provide the broad, practical and up-to-date experience required by major ICT companies who develop computer systems and networks.

Which department am I in?

Department of Computer Science and Engineering

Study options

Full Time (2 Years)

Tuition fees
SEK140,000.00 (10,88,647) per year
EU/EEA Citizens are not required to pay fees.
Start date

Expected August 2022

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: Computer Engineering, Computer Science, Automation and Mechatronics, Electrical Engineering, Engineering Physics, Mathematics, Software Engineering or related subjects.

Preferable course experience: Finite Automata Theory and Formal Languages, Mathematical Modelling and Problem Solving, Functional Programming, Machine-Oriented Programming, Development for Embedded Systems.

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.

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

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