Data & Artificial Intelligence
| Program | Data & Artificial Intelligence |
| ECTS Credits | 120 (first two years) |
| Language | English |
| Orientation | Research |
| Location | Palaiseau Campus |
| Course duration | two years (coursework period), followed by a three-year dissertation phase |
| Course start | September |
| Degrees awarded | Master’s degree (after the first two years), PhD (on completion of the dissertation) |
WHY ENROLL IN THIS PROGRAM?
Asset n° 1
Get ready for a PhD by starting research at an early stage
Asset n°2
Be closely associated with the research activities carried out in a world-renowned innovation cluster
Asset n°3
Benefit from individual and personalized supervision by a faculty member
The Data&AI PhD Track is a 5-year integrated Master’s/PhD program that provides a research-intensive training in the multi-disciplinary field of Data sciences. The program is open to outstanding students from a variety of scientific backgrounds who have completed their undergraduate training with highest honors and who are interested in tackling cutting-edge research ranging from machine learning to artificial intelligence, with applications to industry, social science, digital transformation or even physics and telecommunications.
Students apply to one of the following flavors:
-
Data&AI with a computer science flavor
-
Data&AI with an applied mathematics and statistics flavor
-
Data&AI for social science
-
Data&AI applied to other fields (telecommunication, physics…)
Objectives
- prepare for a career in artificial intelligence and data science
- dive into an exciting field of research at the confluence of applied mathematics and computer science
- contribute to a domain that will shape tomorrow's societies
The five-year curriculum of the PhD track trains students in cutting-edge research for them to pursue international careers in prestigious universities or leading companies in the inter-disciplinary domain of AI and data science.
The students benefit from a program that is hand-tailored to their needs and interests. Each student is assigned a tutor -- a member of the IP Paris faculty who helps the student establish the courses to follow in each year. Courses can be chosen both in the domain of applied mathematics and in the domain of computer science, as well as beyond these
Relevant courses are offered, e.g., in the Master's programs “DataAI” in Computer Science, in “DataScience“ in Applied Mathematics, or in the neighboring fields of statistics and social sciences.
Students are required to complete one research internship per year for the first two years of the PhD track. This internship can be carried out in the private or public sector, in France or abroad. It represents a maximum of 30 ECTS/year.
Students can complete a semester or a year in a partner university abroad. The modalities and target universities depend on the master's program that the student is assigned to.
- Information Processing and Communications laboratory (LTCI)
- Computer Science Laboratory (LIX)
- Applied Mathematics Center (CMAP)
- Computer Science and System Engineering Laboratory (U2IS)
- SAMOVAR
- CREST
Admission requirements
Academic prerequisites
Completion of a Bachelor in computer science or mathematics, at Institut Polytechnique de Paris or equivalent in France or abroad.
Students who have completed the first year of an equivalent program may exceptionally be directly admitted to the second year (4-year PhD program).
Students who already have a master’s degree are invited to apply directly for a PhD in 3 years.
Language prerequisites
A certificate of proficiency in English (level B2) is required (TOEIC, IELTS, TOEFL, Cambridge ESOL), except for native speakers and students who previously studied in English.
How to apply
Applications are exclusively online. You will be required 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 following the closing date of the application session.
Fees and scholarships
Estimated fees for 2022-2023 are subject to increase
- Regular fees: 243€
- 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
Admission dates
The Data&AI PhD Track is a 5-year integrated Master’s/PhD program that provides a research-intensive training in the multi-disciplinary field of Data sciences. The program is open to outstanding students from a variety of scientific backgrounds who have completed their undergraduate training with highest honors and who are interested in tackling cutting-edge research ranging from machine learning to artificial intelligence, with applications to industry, social science, digital transformation or even physics and telecommunications.
Students apply to one of the following flavors:
-
Data&AI with a computer science flavor
-
Data&AI with an applied mathematics and statistics flavor
-
Data&AI for social science
-
Data&AI applied to other fields (telecommunication, physics…)
Objectives
- prepare for a career in artificial intelligence and data science
- dive into an exciting field of research at the confluence of applied mathematics and computer science
- contribute to a domain that will shape tomorrow's societies
The five-year curriculum of the PhD track trains students in cutting-edge research for them to pursue international careers in prestigious universities or leading companies in the inter-disciplinary domain of AI and data science.
The students benefit from a program that is hand-tailored to their needs and interests. Each student is assigned a tutor -- a member of the IP Paris faculty who helps the student establish the courses to follow in each year. Courses can be chosen both in the domain of applied mathematics and in the domain of computer science, as well as beyond these
Relevant courses are offered, e.g., in the Master's programs “DataAI” in Computer Science, in “DataScience“ in Applied Mathematics, or in the neighboring fields of statistics and social sciences.
Students are required to complete one research internship per year for the first two years of the PhD track. This internship can be carried out in the private or public sector, in France or abroad. It represents a maximum of 30 ECTS/year.
Students can complete a semester or a year in a partner university abroad. The modalities and target universities depend on the master's program that the student is assigned to.
- Information Processing and Communications laboratory (LTCI)
- Computer Science Laboratory (LIX)
- Applied Mathematics Center (CMAP)
- Computer Science and System Engineering Laboratory (U2IS)
- SAMOVAR
- CREST
Admission requirements
Academic prerequisites
Completion of a Bachelor in computer science or mathematics, at Institut Polytechnique de Paris or equivalent in France or abroad.
Students who have completed the first year of an equivalent program may exceptionally be directly admitted to the second year (4-year PhD program).
Students who already have a master’s degree are invited to apply directly for a PhD in 3 years.
Language prerequisites
A certificate of proficiency in English (level B2) is required (TOEIC, IELTS, TOEFL, Cambridge ESOL), except for native speakers and students who previously studied in English.
How to apply
Applications are exclusively online. You will be required 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 following the closing date of the application session.
Fees and scholarships
Estimated fees for 2022-2023 are subject to increase
- Regular fees: 243€
- 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