M2 Artificial Intelligence, Master | Paris-Saclay University | Paris, France
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Master On Campus

M2 Artificial Intelligence

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

About

The rapid growth of Artificial Intelligence (AI) research and applications offers unprecedented opportunities. This M2 Artificial Intelligence course at Paris-Saclay University is intended for students wishing to receive a good basic education covering a broad spectrum of concepts and applications of data-driven AI and learning from examples.

Overview

The M2 Artificial Intelligence program at Paris-Saclay University offers introductory courses in statistical learning, deep learning and reinforcement learning, optimization, signal processing, information theory and game theory. Numerous options make it possible to perfect oneself in learning theory, and to specialize in many fields such as big data, image and language processing.

This second year offers an expanded choice of options, covering ethical aspects and other topics such as starting a company.

Career prospects

This course prepares to research and R&D professions in new fields of application in full swing: computer vision (autonomous vehicles and biometrics); voice recognition (necessary for new human-machine interfaces for smartphones); filtering and aggregation of heterogeneous and textual content (essential to commercial solutions for managing big data streams); management and monitoring of complex or critical industrial systems that rely on data analysis.

Continuation of studies: at the end of the course, the students can prepare a doctorate within the ED STIC of the University Paris-Saclay by joining one of the research laboratories of the site or within an R & D department of a company.

Programme Structure

Courses include:

  • Social and Graph Data Management
  • Algorithms for Data Science
  • Distributed Systems for Massive Data Management
  • Innovation & Entrepreneurship
  • Business Development Lab
  • Cloud Computing
  • Programming of Interactive Systems
  • Interactive Machine Learning
  • Evaluation of Interactive Systems
  • Advanced Immersive Interactions

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

More details

Application period:

  • from 15/01 to 14/02
  • from 01/03 to 11/04
  • from 03/05 to 13/06

Language

English

Credits

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

  • This course requires a good background in mathematics and computer science
  • Curriculum Vitae.
  • Motivation letter. (* Describe a personal experience that convinced you to pursue AI studies * Which classes you enjoyed in the past that could be relevant to AI * What are your favorite AI topics ? * How do you see your future career as an AI graduate)
  • All transcripts of the years / semesters validated since the high school diploma at the date of application.
  • Letter of recommendation or internship evaluation.
  • Certificate of English level (compulsory for non-English speakers). (Proof of English level B2 or equivalent)
  • Completed questionnaire (to download on the master's web page).
  • VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

Tuition Fee

To alway see correct tuition fees
  • International

    243 EUR/year
    Tuition Fee
    Based on the tuition of 243 EUR per year during 12 months.
  • National

    243 EUR/year
    Tuition Fee
    Based on the tuition of 243 EUR per year during 12 months.

Living costs for Paris

1195 - 1778 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.

Our partners

M2 Artificial Intelligence
-
Paris-Saclay University
M2 Artificial Intelligence
-
Paris-Saclay University

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