Master Year 2 Data and Artificial Intelligence
Program information will be updated when admission opens.
| Year | Master Year 2 |
| 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 |
WHY ENROLL IN THIS PROGRAM?
Asset n° 1
Acquire advanced knowledge in data and artificial intelligence
Asset n°2
Gain practical experience with a research Internship
Asset n°3
Pursue a PhD or research career in the private or public sector
The two-year Data 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.
In the second year, students will build more advanced knowledge and complete a research internship.
Objectives
The Master’s program aims to enable 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 exploring the technical and scientific challenges of 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 equipped to:
- 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
- Pursue a PhD at Institut Polytechnique de Paris
- Build a career in industry e.g. research and development
Course details will be available when admission opens.
Admission requirements
Academic prerequisites
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 prerequisites
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.
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
Coordinator
Program office
General enquiries
The two-year Data 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.
In the second year, students will build more advanced knowledge and complete a research internship.
Objectives
The Master’s program aims to enable 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 exploring the technical and scientific challenges of 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 equipped to:
- 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
- Pursue a PhD at Institut Polytechnique de Paris
- Build a career in industry e.g. research and development
Course details will be available when admission opens.
Admission requirements
Academic prerequisites
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 prerequisites
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.
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