Studyportals
Master On Campus

Data and Artificial Intelligence

Institut Polytechnique de Paris

24 months
Duration
6243 EUR/year
4243 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Data and Artificial Intelligence at Institut Polytechnique de Paris covers artificial intelligence (AI) and large-scale data management and offers a wide range of course choices.

Overview

Master in Data and Artificial Intelligence at Institut Polytechnique de Paris will enable students to acquire the basics of machine learning, logic, big data systems and databases, before diving into applications in advanced machine learning, symbolic AI, swarm intelligence, natural language processing, visual computing, and robotics.

Students can choose from a wide range of courses including mining large datasets, big data processing systems, reinforcement learning, GPU programming, semantic networks, cognitive modeling, self-organizing multi-agent systems, autonomous navigation for robots, text mining and image understanding, as well as social issues in AI.

The first-year program provides students with core knowledge and requires them to conduct a research project.

In the second year, students will build more advanced knowledge and complete a research internship.

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:

Students who successfully complete the 2-year program will be able to:

  • Embark on a research career in robotics, image processing, machine learning, web technologies, social web, data analytics, big data management, knowledge base management, information extraction, information retrieval, databases, data warehousing, knowledge representation, and distributed data management
  • Pursue a PhD at Institut Polytechnique de Paris
  • Build a career in industry, especially in research and development departments
  • Build a successful research career in robotics, image processing, machine Learning, web technologies, social web, data analytics, big data management, knowledge base management, information extraction, information retrieval, databases, data warehousing, knowledge representation and distributed data management

Programme Structure

Courses include:

  • Big data infrastructures
  • Probabilistic Models and Machine Learning
  • Learning for robotics
  • AI Ethics
  • Semantic Networks
  • Databases
  • Logic & Knowledge representation
  • Self-Organising Multi-Agent Systems
  • Machine Learning in High Dimension
  • Logics and Symbolic AI
  • Database management systems
  • Graph Mining
  • Machine Learning: Shallow & Deep Learning
  • Constraint programming
  • Machine & Deep  Learning Introduction
  • Efficient resolution of logical models
  • Graph mining and Clustering
  • Text Mining and NLP
  • Machine Learning for Text Mining
  • Basics of image processing and analysis
  • Data Stream Mining
  • Data Visualization
  • Reinforcement Learning
  • Navigation for autonomous systems
  • Multimodal Dialogue
  • Systems for Big Data
  • Kernel Machines
  • Architectures for Big Data
  • Image understanding
  • Knowledge Base Construction
  • Programming with GPU for Deep Learning
  • Big Data Processing
  • Emergence in Complex Systems
  • Cognitive approach to NLP
  • Algorithmic information and artificial intelligence

 

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

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 Science at Institut Polytechnique de Paris or equivalent in France or abroad
  • Have good background knowledge in mathematics
  • English: proof of English proficiency is required (TOEFL results, language course, language test) except for native speakers and students who previously studied in 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
  • English: proof of English proficiency is required (TOEFL results, language course or language test), except for native speakers and students who previously studied in English.

Tuition Fee

To alway see correct tuition fees
  • International

    6243 EUR/year
    Tuition Fee
    Based on the tuition of 6243 EUR per year during 24 months.
  • EU/EEA

    4243 EUR/year
    Tuition Fee
    Based on the tuition of 4243 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.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Data and Artificial Intelligence
-
Institut Polytechnique de Paris

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