MSc High Performance Computing Engineering
Milan, Italy
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 889 / per semester
STUDY FORMAT
On-Campus
Key Summary
High-Performance Computing (HPC) Engineering is a highly multidisciplinary program, which aims at training engineers with a solid preparation in information technologies and computer architectures for supercomputing, quantum computing, and mathematical-statistical modeling of complex problems.
HPC applications can be found in nearly every industry handling most data-intensive workloads, thanks to powerful simulation and the parallelization of the computational load on high-performance hardware that strongly accelerate the analysis of large amounts of data, as well as the execution of increasingly complex and sophisticated artificial intelligence algorithms with unmatched speed, precision, and insight.
Mandatory courses
Parallel Computing, Numerical Linear Algebra, Numerical Methods for Partial Differential Equations, Applied Statistics, Quantum Physics, Software Engineering for HPC, Computing Infrastructures, Advanced Computer Architectures, Artificial Neural Networks and Deep Learning, Systems and Methods for Big and Unstructured Data, Quantum Computing.
Other courses
Distributed Systems, Machine Learning, Computational Statistics, Nonparametric Statistics, Scientific Computing Tools for Advanced Mathematical Modelling, Performance Evaluation and Applications, System Identification and Prediction, Network Computing, Quantum Optics and Information, Quantum Circuits and Devices, Quantum Communication, Multidisciplinary applications of HPC.
Politecnico di Milano is one of the top universities in Milan, Italy.
It is ranked #111 in QS World University Rankings 2025.
The main objective of the Study Course is to train graduates to design, manage, and use HPC systems to solve complex problems in different application domains, based on
- Advanced programming techniques and parallel algorithms
- Mathematical-statistical modelling and advanced numerical simulations
- Development of algorithms in the emerging domain of quantum computing