Mathematics of Randomness

Overview

Specialize in probability and statistics or statistics and machine learning with Mathematics of Randomness at Institut Polytechnique de Paris.

Largely devoted to fundamental knowledge and skills, the program also considers constraints due to applied considerations. On graduating, most students embark on an academic or industrial PhD, while others directly begin a career in industry.

Courses are split into two specializations: probability and statistics with a focus on mathematical research or statistics and machine learning oriented toward research and job opportunities in private companies. During the second semester, students will deliver a Master’s thesis based on the analysis of several research papers, under the supervision of a professor from the Master’s program. This thesis can be replaced by an internship in a firm or a research laboratory.

The first year is dedicated to the fundamentals in the main fields of either pure mathematics (algebra, geometrics; analysis...) or applied mathematics (modelling, optimization, control systems, statistics, scientific calculations) with a good balance between theory and practice. The first year course is taught in French.  An internship at a laboratory or company enables students to practice the therorical knowledge and expertise acquired throughout the year.

Career:

This program equips students to complete a PhD or build a research or industry career in:

• Various fields of application where randomness is analyzed, processed and summarized to make predictions and decisions
• Sectors such as insurance, banking, pharmaceutical laboratories, energy, climate, transport, aeronautics, communication and signaling