Program Overview

Program Overview

The Distributed, Parallel, and Quantum Computing (M1 DiPaQ) master's program is a full-time academic program that focuses on the fields of high-performance computing, distributed systems, and quantum computing. The program is taught in English and is closely integrated within the Paris-Saclay ecosystem of research laboratories and industrial partners.

Objectives

The program aims to provide students with a deep knowledge of distributed systems, high-performance and parallel computing, and quantum computing. The objectives of the program include:

• Understanding the current and future challenges of distributed, parallel, or quantum systems
• Assessing the contributions of these systems to various fields of applications, such as security, machine learning, and data science
• Building high-quality parallel and distributed algorithms and software that meet latency, throughput, and performance targets on modern HPC architectures
• Developing and analyzing scalable, robust algorithms with theoretical guarantees on scalability, consensus, termination, and fault tolerance

Curriculum

The curriculum includes twelve core disciplinary courses in high-performance, parallel, distributed, and quantum computing. In addition, students take supplementary courses from other master tracks to learn the fundamentals of AI and data science. The program also includes a project course, an M1 summer internship or summer school on DiPaQ-related themes, and a course on sustainable development.

Career Opportunities

Graduates of the M1 DiPaQ program can pursue various career paths, including:

• Researcher or teacher-researcher
• Engineer (research and development, control, production)
• Data scientist
• AI specialist
• R&D project manager
• Consultant
• Data protection officer
• Information systems manager

Admission

The admission requirements for the program include:

• A general background in computer science is desirable, but holders of a degree in another scientific field (e.g., mathematics or physics) with a strong background in computer science can also apply
• A motivation letter detailing the reasons for wanting to study quantum, parallel, and distributed computing in the DiPaQ master's program
• Transcripts of all years/semesters validated since the high school diploma
• A CV detailing all previous studies, internships, trainings, work experience, distinctions, and awards

Fees and Scholarships

The tuition fees for the program may vary depending on the student's personal circumstances. A limited number of scholarships (Eiffel, IDEX, Quantum Saclay) are available for exceptional candidates.

Location

The program is located in Orsay and Gif-sur-Yvette, with academic partners including École Polytechnique, Télécom Paris, INRIA, Sorbonne Université, and Université de Paris.

Research Areas

The program is closely integrated within the Paris-Saclay ecosystem of research laboratories and industrial partners, with research areas including:

• Distributed systems
• High-performance and parallel computing
• Quantum computing
• AI and data science
• Scientific simulations
• Quantum-enabled workflows

Academic Partners

The program has academic partners including École Polytechnique, Télécom Paris, INRIA, Sorbonne Université, and Université de Paris, as well as international partners such as Technion - Israel Institute of Technology, University of Tennessee, and Old Dominion University.