Address: Place du Maréchal de Lattre de Tassigny, 75016 Paris, Île-de-France, France
Applied Mathematics & Data Science, Computer Science for Organizations, Quantitative Finance & Actuarial Science
Université Paris Dauphine – PSL is a public institution of higher education and research specializing in organization and decision sciences. While known for economics and management, it has very strong programs in applied mathematics, computer science, data science, and quantitative finance, which are highly technical.
Université Paris Dauphine – PSL was created in 1968, in the aftermath of the student movements of May, in a building of the 16th arrondissement near the Porte Dauphine that had housed the headquarters of NATO until 1967. Pierre Tabatoni led its early development, and the aim was a university devoted to the sciences of organisations and decisions. It is a public university but it selects students on application, which makes it unusual in France. It has about 11,000 students and 700 staff, and since 2019 it has been a constituent institution of Université PSL.
Dauphine is organised around a small number of fields: management, economics, finance, mathematics and computer science applied to organisations, law, social sciences and humanities. The reputation for quantitative methods is a distinguishing trait. Programmes such as the master’s in quantitative finance, the master’s in data science and artificial intelligence, and the MIDO department for applied mathematics and computer science are highly regarded, and many graduates join banks, consulting firms, insurers and technology companies.
The university has built a network of research laboratories jointly with the CNRS, notably in decision sciences, economics, management and machine learning. It is part of the Paris Sciences et Lettres group with the École normale supérieure, Mines Paris and other schools, which gives students access to shared courses and research projects. Dauphine also has an international presence, with campuses in London and Tunis and many exchange agreements.
Admission to the first year is by file review on the national platform, and the master’s programmes are selective. Courses are mainly in French, with many master’s courses in English. Tuition for national degrees in France is regulated and low for residents of the European Union, while international students outside the Union may pay higher fees. Check the current tariff.
The campus is located at Place du Maréchal de Lattre de Tassigny, close to the Bois de Boulogne and the Arc de Triomphe. Metro line 2 and RER C serve the area, and student housing in Paris is limited and expensive.
Domains taught:
AI and Machine Learning, Data Analytics, Logistics, Mathematics, Project Management, Quality, Signal Processing, Software Engineering, Statistics
Diplomas*:
Bachelor, Doctor, Master, MBA
Status:
Public
Partnerships:
Constituent college of Université PSL. Numerous international academic partnerships and strong links with corporate sector, particularly in finance and consulting.
Research:
Mathematics for decision-making, Artificial intelligence and machine learning, Data science and big data analytics, Financial modeling and risk management, Actuarial science.
Famous Alumnis:
Jacques Attali, Christine Lagarde (taught), Cédric Villani (taught)
International recognition**:
Number of staff***:
700
Current students***:
11000
Foreign students***:
30%
Cumulative former students***:
N/A
Pros
Leading institution in quantitative fields applied to organization and decision sciences, excellent career prospects in finance, data science, and consulting.
Cons
Highly selective, strong focus on quantitative and business-oriented applications of science and technology.
Best For
Leading university in organization and decision sciences, with strong programs in applied mathematics, computer science, and data science.
Anyone who wants a second school in the same country with a similar spread of quality, project management and statistics can consider ENSAE Paris, and it does not run the bachelor's and mba programmes found here and covers engineering as well.
Toulouse Capitole University shares the core fields of this institution, namely statistics, mathematics and data analytics; it does not run the mba programmes found here and covers finance as well.
A good alternative in the same country is CY Cergy Paris Université, which likewise covers signal processing, project management and statistics; it is also a public institution and does not run the mba programmes found here.
A good alternative in the same country is Cergy/Pau, which likewise covers quality, signal processing and project management; it is also a public institution and does not run the bachelor's and mba programmes found here.
Among national alternatives, Institut Polytechnique de Paris stands out for its focus on signal processing, project management and statistics, and it does not run the bachelor's and mba programmes found here and covers aerospace and bioinformatics as well.
Most Similar Schools Abroad
Shiga University in Japan pursues a similar profile in logistics, quality and signal processing, and it is smaller, enrolling about 5,000 students against roughly 11,000 here, and is also a public institution.
On content, Pompeu Fabra University in Spain and this university are close, as both teach signal processing, statistics and data analytics; it covers finance and life sciences as well, and is slightly larger, at about 12,558 students against roughly 11,000 here.
Universität Mannheim in Germany shares the project management, statistics and mathematics orientation of this university, and it covers computer vision and telecommunications as well, and has almost the same size, at about 12,000 students.
Chinese University of Hong Kong, Shenzhen offers an international parallel to this university, with data analytics, AI and machine learning and software engineering as common ground; it is also a public institution, and runs the same bachelor's, master's, doctoral and mba programmes.
Seen from abroad, London School of Economics and Political Science (the United Kingdom) is a close relative on subject matter, since logistics, project management and statistics are central to both, and it covers finance as well, and is slightly larger, at about 12,950 students against roughly 11,000 here.
*our own picks (our criteria: a mix between domains, diploma delivered, reputation and size), but obviously too many criteria for an apple-to-apple ranking.
FAQ
Where is Université Paris Dauphine - PSL?
At Place du Maréchal de Lattre de Tassigny, in the 16th arrondissement of Paris, near the Porte Dauphine.
When was it created?
In 1968, in a building that had housed the headquarters of NATO until 1967.
How large is it?
About 11,000 students and 700 staff.
What does it specialise in?
Management, economics, finance, applied mathematics and computer science, law and social sciences.
Is it a selective public university?
Yes. It is public but selects students on application, which is unusual in France.
Is it part of PSL?
Yes, since 2019 it has been a constituent institution of Université PSL.
Does it have campuses abroad?
Yes, in London and Tunis.
Which master's programmes are well known?
Quantitative finance, and data science and artificial intelligence.
What language are the courses in?
Mainly French, with many master's courses in English.
What does it cost?
Fees for national degrees are regulated and may be higher for students from outside the European Union. Check the current tariff.
*: without any judgment of the quality, readers are strongly encouraged to check the official status of the exact diploma envisioned as many universities have a mix of recognized diplomas, not recognized, “co-delivered,” “equivalent to”, “some pathways” (…), can change over time, and can be named differently from one country to another.
**: international reputation: is based on some criteria that do not mean much in some domains or specialties (number of researchers, of scientific publications, on budget ….). Our approximate 1-4 scale:
known locally
known locally and internationally
is listed in some of the world university’s classifications
is listed among the 20 firsts in some of world university’s classifications
***: estimated numbers, based on online sources and/or feedbacks. The numbers can vary greatly depending on school organisation (ex.: school is part of a group, it employs internal staff or external consultants or has public staff without employing them …). Refer to all the links provided to have accurate and updated numbers.
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