We are making way for the digital revolution with three new Master’s programmes starting this autumn. These will prepare you for the future in AI, high performance-computing and physics.
With the new Master’s programme in High-Performance Computer Systems Chalmers wants to get engineers ready to develop and exploit new high-performance systems under tight constraints such as performance and energy consumption.
–This program is unique for combining different cutting-edge skills that allow students to look at a system as a whole and exploit the interactions and optimizations across the different layers of hardware and software, says Pedro Petersen Moura Trancoso, Director of the Master’s Programme in High-Performance Computer systems.
HPC systems are a key component for the development of new products and services helping to improve sustainability and the needs of the society.
–The courses of this program are offered by top teachers and researchers with vast experience in the field and through their own degrees and collaborations bring experience from other top universities around the world. Many of them have received prestigious grants and participate in large European related projects such as the European Processor Initiative for the development of a new European processor for HPC, says Pedro Petersen Moura Trancoso.
“AI-engineers are in demand everywhere”
The aim of the new program in Data science and AI
is to educate engineers who can undertake a wide variety of
challenges in handling and analysing different kinds of data and who are able to use and develop software in complex data-intensive and AI-related applications.
–With the digital revolution, Data Science and Artificial Intelligence (AI) has become an important part of our lives and in society as a whole. Skilled data scientists and AI engineers are and will be in high demand everywhere, says Marina Axelson-Fisk, Director of the Master's Programme in Data Science.
The program will provide the students with a solid foundation in machine learning, statistics and optimization, giving them an in-depth understanding of the mathematical modelling techniques used for extracting information from large sets of complex data.
–This program differs from many typical data science programs in that the focus is on educating engineers who will be working more with the development and implementation of data science and AI- methods and less on the actual management and analysis of data.
The graduates from Data science will have a wide range of career opportunities in virtually every other engineering discipline, as well as within medicine and finance. They will also be able to pursue a career in industry or government, as well as for further doctoral studies and an academic career.
Prepare for unknown challenges with creative thinking
The new Master’s programme in Physics
will prepare the graduates toward a technology-driven future where many of the challenges still remain unknown. It fosters creative thinking, critical evaluation, problem-solving and engineering skills grounded in the fundamental principles of physics.
–As a student, you will get insight into the areas of physics that are key in advanced technologies of today and tomorrow, says Anders Hellman, Director of the Master’s Programme in Physics.
The students are recommended to follow one of five different specializations, namely theoretical, computational, material, biological physics and astronomy.
–In short, the theory focuses on models and concepts, which can explain and predict experimental observations. The use of computers allows for a numerical solution to the fundamental laws of physics and use of modern techniques like for example machine learning.
The use of advanced instrumentation in this programme, both in-house and at large facilities like the Onsala Space Observatory will provide in-depth knowledge of material and biological systems and of distant stars and galaxies.
–The resulting training renders the programme graduates less sensitive to for example fluctuations within a particular industrial sector, says Anders Hellman.
Text: Vedrana Sivac
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