Chalmers University of Technology: Chalmers University of Technology, situated in Gothenburg, Sweden, is a prominent technical university known for its world-class education and research in engineering, technology, and natural sciences. Chalmers fosters an entrepreneurial and collaborative environment and encourages innovation and sustainability. The university has strong ties with industry and offers students valuable opportunities for practical training and

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High-performance computer systems master's programme at Chalmers Today and in the future, high-performance computers will be everywhere in autonomous vehicles using machine learning, in data centres fuelling telecom, and in IoT infrastructures to analyse huge volumes of data. The challenge is to design software and hardware for them to meet demanding power and energy constraints. Being able to develop and exploit such systems and bring them to the market will be the key to the success of future use of computing. In order to drive the development of the 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. This programme focuses on the hardware-software co-design aspects to develop domaspecific architectures considering current emerging applications such as artificial intelligence and deep learning. 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. This master's programme is for all students who would like to acquire depth knowledge, abilities, skills, and methodologies in the area of Computer engineering and in particular in the field of high-performance computer systems. More specifically, it is for those students that aim at developing their knowledge, abilities, skills, and methodologies needed to: Be able to lead and participate in software development as well as computer hardware for general and specific computer applications with high demands on computational performance and/or energy efficiency. Be able to carry out development work in the technical forefront in national as well international environments in general and with expert knowledge in any of the following computer systems core subjects: computer architecture, parallel programming and sustainability/energy-efficiency. Be able to advance in high-performance computer systems specialization topics such as parallel and reconfigurable architectures, real-time systems and computer graphics. Show less

The master's programme runs for a duration of two years, leading to a Master of Science (MSc) degree. During each year, students can earn 60 credits (ECTS) and complete the programme by accumulating a total of 120 credits. Credits are earned by completing courses where each course is usually 7.5 credits. The programme consists of compulsory courses, compulsory elective courses, and elective courses.

Compulsory courses year 1
During the first semester the programme starts with three compulsory courses that form a common foundation in High-performance computer systems.

Computer architecture
High-performance parallel programming
Sustainable computing
Compulsory courses year 2
In the second year you must complete a master's thesis in order to graduate. The thesis may be worth 30 credits or 60 credits depending on your choice.

Technical writing
Master’s thesis
Elective courses
You are free to choose a large number of courses for your programme. This allows you to tailor the programme to her/his own preferences. These courses offer breadth in the knowledge of topics that are still related to the programme. As such you may choose to take courses in areas such as computational sciences or machine learning.

You may also opt to select courses closer to the core such as Operating systems or Networking. In addition, you may also take as elective courses, profile courses that you have not chosen before for the requirements of their programme. The following courses are recommended as elective courses for this programme.

Algorithms
Applied machine learning
Autonomous robots
Computational physics
Computational methods in bioinformatics
Computer networks
Computer vision
Creative problem-solving in engineering
Data-driven support for cyber-physical systems
Design of AI-systems
Distributed systems
Empirical software engineering
Introduction to data science and AI
Introduction to game research
Operating systems
Principles on concurrent programming
Quantum computing

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You will need to book the accommodation after you have been accepted.

You can choose to live on campus or off campus in private accommodation.

How to book:

• Make a booking online after you have been accepted (in this case please let us know your choice when you apply).
• Register when you arrive - its not possible to reserve a room before arriving. You can arrive a few days before and book it

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