{"id":1301,"date":"2025-05-20T15:11:08","date_gmt":"2025-05-20T14:11:08","guid":{"rendered":"https:\/\/masterhpc.polimi.it\/?page_id=1301"},"modified":"2026-06-20T15:44:52","modified_gmt":"2026-06-20T14:44:52","slug":"programma","status":"publish","type":"page","link":"https:\/\/masterhpc.polimi.it\/en\/programma\/","title":{"rendered":"Programme"},"content":{"rendered":"
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What will I study?<\/strong><\/h1>\n<\/div>\n<\/div>\n\n\n\n
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The HPC Engineering study course is designed to equip you with the skills needed to tackle complex computational problems by combining knowledge from mathematics, computer science, and engineering. The curriculum places a strong emphasis on technological and scientific innovation, scalable solutions, and the multidisciplinary nature of real-world applications<\/p>\n\n\n\n

The programme prepares you to design parallel applications based on mathematical and statistical models, to analyse large-scale complex data using the power of supercomputing, and to develop advanced solutions in the emerging field of quantum computing.<\/p>\n\n\n\n

Throughout your studies, you will develop a broad set of integrated skills across key areas, enabling you to effectively address the challenges of High-Performance Computing. <\/p>\n\n\n\n

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A solid foundation in numerical methods for advanced simulations<\/strong>, with a focus on differential and discrete modelling, computational linear algebra, and numerical techniques for the discretisation and solution of partial differential equations, essential tools for describing and simulating complex physical phenomena.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Advanced skills in parallel and distributed programming<\/strong>, with in-depth knowledge of computational models, tools, and libraries for multicore CPUs, GPUs, and supercomputers in order to effectively leverage parallelism, reduce execution times, and tackle computationally intensive problems efficiently.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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In-depth knowledge of advanced HPC architectures<\/strong>, ranging from vector and pipelined processors to heterogeneous systems with tensor accelerators and the latest quantum processors, enabling you to understand and exploit hardware features in the design of HPC software<\/strong>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Advanced competencies in quantum computing<\/strong> developed through classes and projects focused on the design of algorithms and simulations on quantum systems. This specialisation area offers a comprehensive overview of quantum technologies that are reshaping the boundaries of computation.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Tools and techniques in deep learning and artificial intelligence<\/strong> for handling complex and unstructured data, supporting statistical analysis, predictive modelling, and the extraction of meaningful insights from large datasets. Recent advances in AI and its increasingly complex models rely heavily on the computational power of HPC systems<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Direct exposure to multidisciplinary application domains<\/strong>, thanks to elective courses focused on various scientific and engineering fields (genomics, aerospace, energy, mechanics, finance\u2026). In these areas, HPC enables the acceleration of complex data processing, enhancing simulation and numerical modelling in order to tackle real-scale problems<\/p>\n<\/div>\n<\/div>\n\n\n\n

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How is the study path structured?<\/h2>\n\n\n\n

The structure of the programme ensures a balanced integration of theory, hands-on practice, and project work<\/strong>, with a strong focus on developing skills that are immediately applicable in the job market or in advanced research settings.<\/p>\n\n\n\n

The two-year and 120 ECTS structure allows for a coherent and gradual progression throughout the programme. <\/p>\n\n\n\n