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米兰理工大学 · 高性能计算工程硕士 硕士

Politecnico di Milano｜MSc in High Performance Computing Engineering。 下面的学制、学费、入学时间、语言要求与课程设置均来自该校该项目本身，不与其他学校同一名称的项目共用。
QS 2027 · 第 87 位
学位 硕士　·　学制 2 年

📖 项目简介

A High Performance Computing (HPC) engineer is a highly specialized professional who:

  • Designs, develops, and optimizes advanced computational solutions to tackle the most complex problems in scientific, industrial, and technological domains;
  • Operates across the entire supercomputing pipeline: from the mathematical modeling of physical phenomena or real-world data to the development of high-performance software capable of running on parallel and distributed architectures, including the latest quantum systems;
  • Integrates numerical and computer science expertise to simulate complex systems, analyze big data, optimize code for advanced computing infrastructures, and implement data science, artificial intelligence, and deep learning models in high-performance computing environments, including quantum computing systems.
以上为米兰理工大学该项目官网项目页原文（英文），本站未做改写或补写。

📋 项目参数

高性能计算工程硕士

MSc in High Performance Computing Engineering
硕士
学制2 年
语言要求英语
就业方向From a postgraduate education perspective, the program offers strong opportunities for further study through national and international PhD programs, postgraduate master’s degrees, and specialized courses. These pathways are designed both for academic and research careers at universities and public or private research centers, and for highly qualified positions in industry. The profile of the high-performance computing engineer is characterized by advanced expertise in the design, management, and use of supercomputing systems (parallel computers and quantum computers), numerical simulation, and the analysis of large-scale complex data. This professional is able to tackle highly complex problems, integrate diverse technologies, develop advanced algorithms, optimize software and computing architectures, and apply machine learning and statistical learning methods in innovative contexts. Career opportunities are broad and continuously expanding. Graduates find employment in ICT companies, engineering firms, supercomputing centers, high-tech industries, and in the services and consulting sectors, as well as in research and academia. Applications of high-performance computing range from

✨ 项目特色

该项目官网「Unique Program Features」原文，说的是这个项目自身的特点（学制长短、资助、实践安排、认证等），不是学校层面的通用介绍。

The Master’s Degree in HCP Engineering is designed to train professionals with a solid grounding in fundamental scientific methods and core knowledge, along with a broad range of expertise in computer science and information technology.

In particular, the program prepares experts capable of addressing today’s most innovative challenges: from the design of parallel applications based on mathematical and statistical models, to the analysis of complex data in high-performance computing environments, and the development of algorithms and solutions in the emerging field of quantum computing.

Upon completion of the program, graduates will have acquired:

  • a strong foundation in discrete and continuous mathematics;
  • mastery of the scientific method and data analysis techniques;
  • advanced theoretical and practical knowledge in computer engineering;
  • expertise in the foundations and applications of quantum computing;
  • an understanding of traditional and high-performance computing architectures;
  • the ability to design and manage information systems, networks, and complex computing infrastructures;
  • effective communication skills and a strong aptitude for innovation and lifelong learning;
  • the ability to operate with awareness in industrial and technological contexts.

This program is designed for those who aspire to play a leading role in innovation in high-performance and quantum computing technologies.

Tracks and courses

Programme description

🎯 入学要求

官网给出的录取条件原文，含学校统一要求与该项目的附加要求；语言成绩的具体分数线请到项目官网核对。

Polimi Students

Applicants are automatically admitted if they meet both of the following requirements:

  • a weighted average grade (at the time of application) of at least 24/30;
  • a Bachelor’s degree from Politecnico di Milano in Computer Engineering, Mathematical Engineering, Physics Engineering, Automation Engineering, or Electronic Engineering.

Applicants who do not qualify for automatic admission (i.e., those coming from other Politecnico di Milano Bachelor’s programs or from other universities, as well as those who do not meet the minimum GPA requirement) will be evaluated on a case-by-case basis, considering their previous academic background, performance, and results. Particular attention will be given to the relevance of completed coursework to the required competencies and knowledge, especially grades obtained in core subjects related to the degree class and preparatory to HPC.

Non-Polimi Students

To be admitted to the MSc in High Performance Computing Engineering, applicants must hold a first-level (Bachelor’s) degree in one of the following classes:

  • L7 (Civil and Environmental Engineering),
  • L8 (Information Engineering),
  • L9 (Industrial Engineering),
  • L31 (Computer Science and Information Technologies).

More generally, applicants must hold at least a three-year Bachelor’s degree, corresponding to a minimum of 180 ECTS credits, including:

  • at least 20 ECTS in the scientific-disciplinary sectors INF/01 and ING-INF/05 (Computer Science, Computer Engineering);
  • at least 20 ECTS in the sectors MAT/01–MAT/09 and SECS-S/01 (Mathematics, Statistics);
  • at least 10 ECTS in the sectors FIS/01–FIS/08 (Physics).

If specific gaps are identified in competencies considered essential for undertaking the program, the Admissions Committee may assign additional requirements during the evaluation process. These may consist of mandatory coursework to be included in the study plan (in place of elective courses) or prerequisite requirements (curricular integrations to be completed before enrollment in the Master’s program).

A Bachelor Degree in Computer Science Engineering, Mathematical Engineering or 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.

📊 申请案例数据分析

本站尚未收录米兰理工大学的录取案例，暂无法给出该项目的录取背景分析。案例库按院校与专业方向整理，补抓后这里会自动出现。

🔗 站内归类方向

该项目已归属站内方向「计算机科学」，可到该校该方向页看同方向的其他项目与录取案例
米兰理工大学 · 计算机科学 方向页 ›

🔗 米兰理工大学的其他专业方向

信息系统管理58=管理学66=航空航天工程14土木工程14机械工程14电子与电气工程24能源工程24化学工程32材料科学与工程48计算机科学58=生物医学工程数学38物理学89地理学151-200
返回米兰理工大学院校页（全部 45 个项目）›

❓ 常见问题

以下问答的答案全部取自本页已列出的官网数据，不做推测；官网未公布的项不出现在这里。
米兰理工大学高性能计算工程硕士主要学什么？
该项目为硕士，官网介绍：A High Performance Computing (HPC) engineer is a highly specialized professional who:
米兰理工大学高性能计算工程硕士的学制是多久？
该校官网公布为 2 年（全日制）。
米兰理工大学高性能计算工程硕士的语言成绩要求是什么？
英语。
米兰理工大学高性能计算工程硕士的入学要求是什么？
Polimi Students Applicants are automatically admitted if they meet both of the following requirements: a weighted average grade (at the time of application) of at least 24/30;
米兰理工大学高性能计算工程硕士毕业后主要去向有哪些？
From a postgraduate education perspective, the program offers strong opportunities for further study through national and international PhD …
学制 / 学费 / 语言要求 / 申请节奏为按国家（地区）通行区间整理的参考值，各校每年均可能调整，最终以院校官网公布为准；本站不提供中介服务。 排名数据：QS 名次来自 QS 官方榜单整理，U.S. News 名次整理自 Ranking Radar 公开数据集（CC-BY-4.0），原始榜单 © U.S. News & World Report。
高性能计算工程硕士
米兰理工大学 · 2 年