Program Overview
The High Performance Computing Engineering Master's program from Politecnico di Milano trains students in designing, managing, and utilizing HPC systems. The curriculum emphasizes advanced programming, mathematics, and quantum computing, equipping graduates for careers in technology, research, and academia. Graduates are well-suited for industries requiring high-performance computational solutions, such as energy, medicine, and finance. The program fosters interdisciplinary applications of HPC, preparing students for various career paths.
Program Outline
Degree Overview:
The High Performance Computing Engineering program is a two-year Master's degree program offered at the Politecnico di Milano. The program is designed to train graduates who can design, manage, and use HPC systems to solve complex problems in various application domains. The program focuses on advanced programming techniques, parallel algorithms, mathematical-statistical modeling, advanced numerical simulations, and the development of algorithms in the emerging domain of quantum computing.
Outline:
The program curriculum includes both mandatory and elective courses.
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 Circuits and Devices
- Quantum Communication
- Multidisciplinary applications of HPC
Careers:
Graduates of the High Performance Computing Engineering program are well-prepared for careers in companies specializing in information technology or complex computational problems in various application domains. They can also find employment in research centers on HPC and academia. The program's focus on high-performance computing equips graduates with skills applicable to various sectors, including:
- Energy
- Climatology
- Computational Biomechanics
- Genomics
- Medicine
- Pharmacology and Chemistry
- Finance
- Seismic Imaging
- Aerospace
Politecnico di Milano
Overview:
Politecnico di Milano is Italy's largest science-technology university, established in 1863. It is known for its scientific rigor and creativity, focusing on technology for humanity.
Services Offered:
Politecnico di Milano offers a wide range of services to its students, including:
Student accommodation:
The university provides various housing options for students.Canteens and cafes:
Students have access to dining facilities on campus.Libraries and archives:
The university boasts extensive library resources and archives.Spaces and study areas:
Students can find dedicated spaces for studying on campus.Stores and print centres:
The university provides convenient access to essential supplies and printing services.ICT Services:
Students have access to IT infrastructure and support.Prevention and Protection Service:
The university offers safety and security services.International Mobility:
The university encourages and supports international exchange programs.Equal opportunities and inclusion:
The university promotes inclusivity and equal opportunities for all students.Psychological wellbeing:
The university provides support services for student mental health.Sport and leisure:
Students can participate in various sports and leisure activities.Conventions and benefits:
The university offers discounts and benefits through partnerships.Work and collaborations:
The university facilitates opportunities for students to gain work experience and collaborate with companies.Student Life and Campus Experience:
The university offers a vibrant campus experience with various opportunities for students to engage in academic, social, and extracurricular activities. Students can benefit from:
Multiple campuses:
The university has campuses in Milan, Cremona, Lecco, Mantova, Piacenza, and Xi'an, providing diverse learning environments.International environment:
The university fosters a global community with international students and faculty.Student associations:
Students can join various associations and clubs based on their interests.Events and activities:
The university organizes numerous events, conferences, and workshops throughout the year.Key Reasons to Study There:
Strong academic reputation:
Politecnico di Milano is highly ranked in international rankings, known for its excellence in science and technology.Innovative teaching modules:
The university offers a wide range of innovative and multidisciplinary programs.Research excellence:
The university is a leading research institution with a strong focus on Artificial Intelligence.Career opportunities:
The university provides excellent career support and connections with industry partners.Sustainable development focus:
The university is committed to sustainability and social responsibility.Academic Programs:
Politecnico di Milano offers a comprehensive range of academic programs, including:
Laurea programmes:
Bachelor's degree programs.Laurea magistrale programmes:
Master's degree programs.High-level training courses:
Specialized courses for professional development.Education beyond graduation:
Programs for continued learning after graduation.PhD Programmes:
Doctoral programs in various fields.Industrial PhD:
Programs combining research with industrial experience.Other:
Politecnico di Milano has a strong focus on Artificial Intelligence, with a dedicated research center, Polimi AI.
The university has a long history of contributing to the development of Italy and the world.
Politecnico di Milano is committed to promoting diversity and inclusion.
The university offers a variety of resources for students, faculty, staff, and companies.
Entry Requirements:
A Bachelor Degree in Computer Science and Engineering, Mathematical Engineering and other related fields. Preference to graduates with a solid background in the core disciplines: computer science, applied mathematics, physics, engineering. A Committee will evaluate students with a different background case by case.
