Overview
In order to drive the development of future's high-performance computer systems, whether for software or hardware development, it is necessary to have a holistic view. This view combines how algorithms specified in a high-level language can utilize given computational structures and how computational resources should be designed and managed to achieve the high demands on computational performance and energy utilization as required by the future digital society.
The main topic and fundamental idea behind the programme is how the needs of future industries in terms of high computational performance and energy efficiency can be met with systematic methods based on the latest research results in the field of computer systems engineering. The Master's Programme in High-Performance Computer Systems of Chalmers University of Technology aims to provide these cutting-edge skills.
Career
The programme has been designed to be relevant to a growing industrial and governmental ICT sector (e.g. computer game industry, database systems and, more relevant, all applications for machine learning such as autonomous vehicles). The programme gives a unique opportunity to combine academic training with engineering work experience, as well as entrepreneurship skills. As such a student is prepared to become:
- Co-Founder, Chief Architect, and/or Product Owner for a product or startup company that brings a research idea into a product
- Chief Technology Officer who takes responsibility for the company’s technological development plan and influences its competitiveness in the market
- Systems Architect and Designer who builds HPC systems either as a new product or from available COTS
- HPC Architect and Performance Engineer who builds HPC systems and evaluates the performance and tunes applications for such systems.
- Systems Administrator who manages an HPC system as well as monitors and evaluates application performance
- Project Manager responsible for driving specific projects by choosing technical directions and leading people
- Software Engineer who develops hardware-aware optimized software for either Cloud Function as a Service (FaaS) software, libraries, or runtimes.
Programme Structure
Courses include:
- Computer Architecture
- High-Performance Parallel Programming
- Technical Writing
- Parallel Computer Architecture
- Sustainable Computing
- Computer Graphics
- Real-time Systems
- Strategic Management of Technological Innovation
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Disciplines
Computer Sciences Web Technologies & Cloud Computing Machine Learning View 24 other Masters in Machine Learning in SwedenAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
Other requirements
General requirements
- Bachelor’s degree (or the equivalent) with a major in: Computer Engineering, Computer Science, Automation and Mechatronics, Electrical Engineering, Engineering Physics, Software Engineering or related subjects.
- Prerequisites: Mathematics (including Calculus (at least 7,5 credits) and Linear algebra (at least 7,5 credits)), Programming in a general-purpose language (e.g. C/C++/Java/Haskell or similar) (at least 7,5 credits); Introduction to Computer Engineering (at least 7,5 credits); and one of the following courses: Discrete mathematics and/or Mathematical statistics and/or Probability theory and/or Algorithms and/or Data structures (at least 7,5 credits)
Tuition Fee
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International
14224 EUR/yearTuition FeeBased on the tuition of 14224 EUR per year during 24 months.
160,000 SEK
Living costs for Göteborg
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.