Program Objectives
A comprehensive training program in data science. The goal of this track is to offer students with an academic background in mathematics a solid education in statistics as they apply to the new economy, digital science, and the humanities writ large. It stems from the exponential increase in the amount of data generated across fields as varied as biology, medicine, e-commerce, imaging, video production, and language processing.
Program objectives:
- Master the theoretical foundations of machine learning, including kernel methods, supervised and unsupervised learning, optimization, graphical models, etc.
- Master foundational statistical methods such as simulation, estimation, detection, etc.
- Understand the application of machine learning in marketing, health, journalism, public policy, etc.
- Gain working knowledge of certain key programming languages: Python (particularly the scikit-learn library), Hadoop, R, MATLAB, Julia, etc.
- Gain practical experience with manipulating data sets produced by applications and projects.
- Types of education
- Initial training
- Language(s)
- French and English
- ECTS Credits
- 60 credits
- Internship
- 16 weeks
- Capacity
- 25
- Type of Diploma
- National diploma
- Academic Year
- 2024/2025
The challenges of the ecological and social transition in the Master's degree programs
Several courses and tools are offered to students in the Master’s program, regardless of their specialization
- “Ecological Transition and Social Responsibility” Certificate
- “Dauphine Durable” SPOC A common base of knowledge in the areas of ethics, social responsibility and sustainable development. It tackles the basics of CSR: control, human resources, finance, marketing, strategy, climate issues and the environmental transition.
- “Managing SDGs” SPOC A unique learning experience in which students from multiple countries work together on real-life case studies.
- Virtual University of the Environment and Sustainable Development At PSL, Dauphine is a founding member of Université Virtuelle Environnement et Développement durable (Virtual University of the Environment and Sustainable Development), which allows it to provide its students with a set of resources and MOOCs.
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