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Master Year 1 Data and Artificial Intelligence

Master Year 1 Data and Artificial Intelligence

Program information will be updated when admission opens.

Year

Master Year 1

Program

Data and Artificial Intelligence

ECTS Credits

60

Language

English

Orientation

Research and Industry

Location

Palaiseau Campus

Course duration

12 months, full time

Course start

September

Degree awarded

Master’s degree obtained on completion of a second year of Master

WHY ENROLL IN THIS PROGRAM?

Asset n° 1 

Acquire strong basic knowledge in data and artificial intelligence

Asset n°2

Conduct a research project

Asset n°3

Learn from renowned faculty members

The two-year Data and Artificial Intelligence Master’s program covers artificial intelligence (AI) and large-scale data management. Students will 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.

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

Objectives

The Master’s program enables students to:

  • Acquire the fundamental knowledge, technical skills and concrete applied methodologies to make machines more intelligent
  • Gain experience in using and developing data-supported smart services and tools for data-driven decision-making, while also exploring technical and scientific challenges in processing large data and knowledge
  • Solve theoretical and applied problems, present their work in oral presentations and written reports, analyze a bibliography and identify open research directions, work independently and in a team, identify and seek appropriate resources for advancing their work

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

Course details will be available when admission opens.

Admission requirements

Academic prerequisites

  • Completion of a Bachelor of Science at Institut Polytechnique de Paris or equivalent in France or abroad
  • Have good background knowledge in mathematics

Language prerequisites

English: proof of English proficiency is required (TOEFL results, language course, language test) except for native speakers and students who previously studied in English.

How to apply

Applications can be submitted exclusively online. You will need to provide the following documents:

  • Transcript
  • Two academic references (added online directly by your referees)
  • CV/resume
  • Statement of purpose

You will receive an answer in your candidate space within 2 months of the closing date for the application session.

Fees and scholarships

Tuition fees will be communicated when admission opens.

Find out more about scholarships

Applications and admission dates

Admission page

Coordinator

Goran Frehse

Louis Jachiet

Program office

Danielle Deloy

General enquiries

master-admission@ip-paris.fr

Description

The two-year Data and Artificial Intelligence Master’s program covers artificial intelligence (AI) and large-scale data management. Students will 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.

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

Objectives

The Master’s program enables students to:

  • Acquire the fundamental knowledge, technical skills and concrete applied methodologies to make machines more intelligent
  • Gain experience in using and developing data-supported smart services and tools for data-driven decision-making, while also exploring technical and scientific challenges in processing large data and knowledge
  • Solve theoretical and applied problems, present their work in oral presentations and written reports, analyze a bibliography and identify open research directions, work independently and in a team, identify and seek appropriate resources for advancing their work

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

Course details will be available when admission opens.

Admission requirements

Academic prerequisites

  • Completion of a Bachelor of Science at Institut Polytechnique de Paris or equivalent in France or abroad
  • Have good background knowledge in mathematics

Language prerequisites

English: proof of English proficiency is required (TOEFL results, language course, language test) except for native speakers and students who previously studied in English.

How to apply

Applications can be submitted exclusively online. You will need to provide the following documents:

  • Transcript
  • Two academic references (added online directly by your referees)
  • CV/resume
  • Statement of purpose

You will receive an answer in your candidate space within 2 months of the closing date for the application session.

Fees and scholarships

Tuition fees will be communicated when admission opens.

Find out more about scholarships

Applications and admission dates

Admission page

Coordinator

Goran Frehse

Louis Jachiet

Program office

Danielle Deloy

General enquiries

master-admission@ip-paris.fr