Master Year 1 Data and Artificial Intelligence
| 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 |
The DataAI study track is a two-year master’s program at the Institut Polytechnique de Paris to prepare students for a PhD. It is concerned with Artificial Intelligence (AI) and large-scale data management.
The program is taught in English. It teaches students 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 variety of courses, including on the mining of 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, image understanding, as well as social issues in AI.
The program has a focus on research, and aims to familiarize students from the beginning with scientific work with scientific projects and internships. This way, students are optimally prepared for doing a PhD.
For more infomation on the program you can visit : https://dataai.telecom-paris.fr/
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
To validate the M1 year, a student must accomplish all of the following:
- validate two research projects, each awarded 5 ECTS
- acquire a total of at least 50 ECTS in courses with at least 40 courses in Data AI courses
All Data AI courses are 24h, count 2.5 ECTS, and are validated by labs, presentations and/or exams. A course is validated when the student obtains a grade of 10/20 or higher.
You can consult the list of Data AI courses on this page.
Research projects
M1 students have to validate two research projects. Students can choose from a list of proposed topics or suggest their own topic. In both cases, students must find a DataAI lecturer to supervise their projects. Each of the two projects counts for 5 ECTS and represents about 10 days of work, spread out throughout the semester. The first project needs to be completed by the beginning of February.
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
Fees for 2023-2024 are :
- EU/EEA/Switzerland students: 4648€
- Non-EU/EEA/Switzerland students: 6839€
- Engineer students enrolled in one of the five member schools of Institut Polytechnique de Paris (Ecole polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis): 159€
- Special cases: please refer to the "Cost of studies" section of the FAQs
Find out more about scholarships
Please note that fees and scholarships may change for the following year.
Applications and admission dates
Coordinator
Program office
General enquiries
The DataAI study track is a two-year master’s program at the Institut Polytechnique de Paris to prepare students for a PhD. It is concerned with Artificial Intelligence (AI) and large-scale data management.
The program is taught in English. It teaches students 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 variety of courses, including on the mining of 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, image understanding, as well as social issues in AI.
The program has a focus on research, and aims to familiarize students from the beginning with scientific work with scientific projects and internships. This way, students are optimally prepared for doing a PhD.
For more infomation on the program you can visit : https://dataai.telecom-paris.fr/
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
To validate the M1 year, a student must accomplish all of the following:
- validate two research projects, each awarded 5 ECTS
- acquire a total of at least 50 ECTS in courses with at least 40 courses in Data AI courses
All Data AI courses are 24h, count 2.5 ECTS, and are validated by labs, presentations and/or exams. A course is validated when the student obtains a grade of 10/20 or higher.
You can consult the list of Data AI courses on this page.
Research projects
M1 students have to validate two research projects. Students can choose from a list of proposed topics or suggest their own topic. In both cases, students must find a DataAI lecturer to supervise their projects. Each of the two projects counts for 5 ECTS and represents about 10 days of work, spread out throughout the semester. The first project needs to be completed by the beginning of February.
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
Fees for 2023-2024 are :
- EU/EEA/Switzerland students: 4648€
- Non-EU/EEA/Switzerland students: 6839€
- Engineer students enrolled in one of the five member schools of Institut Polytechnique de Paris (Ecole polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis): 159€
- Special cases: please refer to the "Cost of studies" section of the FAQs
Find out more about scholarships
Please note that fees and scholarships may change for the following year.