24 monthsProgramme duration
243 EURTuition Fee/year
Jan, SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Computer systems are fast evolving toward more efficiency and enhanced functionalities according to three major, interconnected scientific fields:
- distributed systems, as many applications are deployed spatially over networks to enable ubiquity,
- high-performance computing to take advantage of most recent parallel computers in scientific computing and data analytics applications,
- quantum computing to exploit quantum parallelism and obtain otherwise unreachable performance gains.
The QDCS Master’s program will enable you to acquire deep knowledge of these three fields through both advanced theoretical courses and extensive practice of programming techniques.
Distributed systems deal with protocols and algorithms that allow connectivity and efficient functionality for network based systems, like Internet, Cloud, sensor networks, computing clusters, blockchain distributed systems, and even microbiological circuits. For these systems, the challenges include synchronization, security, concurrency and robustness. Similar issues arise in the field of High Performance Computing (HPC) which aims at efficiently solving computationally intensive problems in applied science or artificial intelligence. HPC pushes modern parallel computer architectures to their limits by using various forms of parallelism, data representations and code optimization. So does distributed computing by means of various methods of communication and algorithmics. They thereby draw the frontier between what can be achieved within the realm of classical Computer Science, and what will only be accessible through a new paradigm: that of Quantum Computing. Quantum Computing and Quantum Information feature novel algorithms and protocols, bringing radical performance gains, together with their own set of conceptual and technical challenges.
In order to apply to one of the programmes of the master, please select the programme you are interested in under the "Year 1 & 2 Master's programmes" tab .
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Computer systems are fast evolving toward more efficiency and enhanced functionalities according to three major, interconnected scientific fields:
- distributed systems, as many applications are deployed spatially over networks to enable ubiquity,
- high-performance computing to take advantage of most recent parallel computers in scientific computing and data analytics applications,
- quantum computing to exploit quantum parallelism and obtain otherwise unreachable performance gains.
The QDCS Master’s program will enable you to acquire deep knowledge of these three fields through both advanced theoretical courses and extensive practice of programming techniques.
Distributed systems deal with protocols and algorithms that allow connectivity and efficient functionality for network based systems, like Internet, Cloud, sensor networks, computing clusters, blockchain distributed systems, and even microbiological circuits. For these systems, the challenges include synchronization, security, concurrency and robustness. Similar issues arise in the field of High Performance Computing (HPC) which aims at efficiently solving computationally intensive problems in applied science or artificial intelligence. HPC pushes modern parallel computer architectures to their limits by using various forms of parallelism, data representations and code optimization. So does distributed computing by means of various methods of communication and algorithmics. They thereby draw the frontier between what can be achieved within the realm of classical Computer Science, and what will only be accessible through a new paradigm: that of Quantum Computing. Quantum Computing and Quantum Information feature novel algorithms and protocols, bringing radical performance gains, together with their own set of conceptual and technical challenges.
In order to apply to one of the programmes of the master, please select the programme you are interested in under the "Year 1 & 2 Master's programmes" tab .
Admission Requirements
- Curriculum Vitae.
- Motivation letter.
- All transcripts of the years / semesters validated since the high school diploma at the date of application.
- Sheet of choice of platform completed to download on the site.
Additional supporting documents
- Choice sheet of M2 (obligatory for the candidates registered in M1 at the University Paris-Saclay) to download on https://www.universite-paris-saclay.fr/en/admission/apply-master-programmes.
- Detailed description and hourly volume of courses taken since the beginning of the university program.
- VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
- Letter of recommendation or internship evaluation.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
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