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High Performance Computing and Data Sciences
Objectives
You will study in a joint program with the Ecole des Mines de Paris - PSL and the Université Côte d’Azur.
Ecole des Mines de Paris – PSL is one of the best engineering schools in France, with an international reputation for excellence in education and research in HPC for industrial problems.
Université Côte d’Azur and its Center of Modeling, Simulation and Interactions (MSI) promotes large-scale observation and in silico experimentation, such as the acquisition, processing and display of very big data, using conceptual approaches common to the research activities of all the Academies of Excellence.
This M.Sc. program provides students with strong foundations in the fields of High Performance Computing with Data Sciences for advanced simulations.
It includes an in-depth understanding of parallel programming, modeling, simulation and analysis of intensive data.
Graduates will be prepared to pursue an exciting career in the fast-growing fields of HPC and Data Sciences.
This M.Sc. program focuses on advanced education and the practice of HPC and data-driven applications.
Program
Programming skills: - Software engineering for scientific computing - Object-oriented programming
Numerical methods for scientific computing: - Approximation, interpolation and integration of PDEs - Linear algebra - Optimization and operational research - Hierarchical and adaptive algorithms IT project management: - Data ethics
HPC architectures: - Hardware technologies - Supercomputing environments - Cloud computing
Fundamentals of data storage, analysis, and visualization: - Signal processing and statistics - Techniques and tools for data analysis (Hadoop, Spark) - Techniques and tools for massive data Parallel algorithms and programming: - Domain decomposition methods - Mesh and graph partitioning - Load balancing
Mathematical modeling: - Discrete systems (molecular dynamics,
N-body, etc.) - Continuous systems (ODE and PDE) - Optimization and inverse problems - Stochastic and statistical methods
- HPC society (history, impacts, challenges, etc.) - IT project management - Intellectual property visualization
Future careers
The future graduates of this M.Sc. will be experts in HPC for a wide variety of careers in science, engineering, industry and software development. Thanks to their dual skills in applied mathematics and computer science, their roles will be crucial to accelerate the movement towards the industry of the future. Graduates will prepared be for employment in both industrial and academic fields, for example as numerical analysts, statisticians or computer experts, specializing in calculation and simulation.
Admission - Must hold a qualification equivalent to three or four years of higher education, such as a Licence degree (three years), a Master I degree (four years), an American B.Sc. (four years) or an equivalent degree.
- Selection is based on your application (previous studies, grades, professional experience, achievement and motivation) and an interview.
- Students applying to this program must give proof of proficiency in English (oral and written).
Tuition fees: 4000€*
*The tuition fee may vary according to your residence status, namely if you are a resident of an EU country or of a country outside the EU. In addition, financial aid (need-based or merit-based scholarships) will be available to students, and other sources of funding will also be available through each training course.
Partners
Contacts Elie Hachem Youssef Mesri
