Studyportals
Master On Campus

High Performance Data Analytics

Institut Polytechnique de Paris

24 months
Duration
3770 EUR/year
243 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

High Performance Data Analytics at Institut Polytechnique de Paris covers the full software stack of high-performance data analytics applications available today, from operating systems and the foundations of parallel programming to high-performance computing applications and AI techniques. 

Overview

The rapid growth of the internet has led to vast amounts of data being collected. As analyzing this data requires tremendous computing power, high-performance data analytics employs various parallelization techniques to reduce the execution time. These techniques can be applied to various domains such as high-performance computing, artificial intelligence and big data.

High Performance Data Analytics at Institut Polytechnique de Paris comprises mandatory courses focusing on core topics like operating systems and parallel programming, as well as optional courses addressing either HPC applications (numerical simulation and modeling) or AI applications (machine learning and data mining).

The program focuses on research and introduces students to research labs through projects and a Master’s thesis, paving the way for further PhD studies.

Students interested early on by research are advised to apply for a PhD Track in this field (combined Master and PhD). It enables a personalized master program, early immersion in research labs and a progressive development of the thesis studies. 

Career:

On completing the two-year program, students will be equipped to:

  • Pursue a PhD degree in computer science at Institut Polytechnique de Paris or another highly ranked university
  • Join the R&D department of an innovative IT company

Programme Structure

Courses include:

  • Foundations of parallel computing for analyzing massive amounts of data
  • Core knowledge in architecture

  • Operating systems

  • Parallel programming

  • Overview of domain applications

  • High-performance computing

  • Artificial intelligence

  • Big data

  • Advanced knowledge in a specific application
  • Seminars and project do develop skills required to pursue a research career

  • 6-month internship

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

Partially taught in English, Partially taught in French

Credits

120 ECTS
  • Year 1: 60 ECTS
  • Year 2: 60 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Year 1

  • Completion of a Bachelor of Computer Science or Applied Mathematics at Institut Polytechnique de Paris or equivalent in France or abroad
  • Have an outstanding academic record
  • Language prerequisites French; English

Year 2

  • Completion of the first year of a Master in computer science or related field at Institut Polytechnique de Paris or equivalent in France or abroad
  • Language: French; English

Tuition Fee

To alway see correct tuition fees
  • International

    3770 EUR/year
    Tuition Fee
    Based on the tuition of 3770 EUR per year during 24 months.
  • EU/EEA

    243 EUR/year
    Tuition Fee
    Based on the tuition of 243 EUR per year during 24 months.

Living costs for Palaiseau

640 - 950 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last year

Check the official programme website for potential updates.

Our partners

High Performance Data Analytics
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Institut Polytechnique de Paris

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