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.
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
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.
- Artificial Intelligence (AI), Financial, Machine Learning, Risk Management
*: 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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