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Master Year 2 Mathematics of Randomness

Master Year 2 Mathematics of Randomness

Program information will be updated when admission opens.

Year

Master Year 2

Program

Mathematics of Randomness

ECTS Credits

60

Language

English

Orientation

Research (mainly), Industry

Location

Palaiseau Campus, Université Paris-Sud (Orsay)

Course duration

12 months, full time

Course start

September

Degree awarded

Master’s degree

WHY ENROLL IN THIS PROGRAM?

Asset n° 1 

Open up exciting career opportunities in a variety of sectors through the wide range of courses

Asset n°2

Become familiar with research, choosing between writing a Master’s thesis and completing an internship

Asset n°3

Specialize in probability and statistics or statistics and machine learning

The Mathematics of Randomness Master’s degree is a top-level training program covering diverse fields relating to probability, statistics and machine learning. 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.

Objectives

This program enables students to:

  • Understand, master and use different modern mathematical tools for modelling randomness and analyzing and treating data
  • Perform predictions and take decisions

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

Course details will be available when admission opens.

Admission requirements

Academic prerequisites

Completion of a first year of Master in mathematics at Institut Polytechnique de Paris or equivalent in France or abroad.

Language prerequisites

  • English
  • French

How to apply

Applications can be submitted exclusively online. You will need 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 of the closing date for the application session.

Fees and scholarships

Tuition fees will be communicated when admission opens.

Find out more about scholarships

Applications and admission dates

Admission page

Coordinators

Matthieu Lerasle (Institut Polytechnique de Paris),

Nicolas Curien (Université Paris-Saclay),

Program office

Nicolas Apoteker,

General enquiries

master-admission@ip-paris.fr

Description

The Mathematics of Randomness Master’s degree is a top-level training program covering diverse fields relating to probability, statistics and machine learning. 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.

Objectives

This program enables students to:

  • Understand, master and use different modern mathematical tools for modelling randomness and analyzing and treating data
  • Perform predictions and take decisions

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

Course details will be available when admission opens.

Admission requirements

Academic prerequisites

Completion of a first year of Master in mathematics at Institut Polytechnique de Paris or equivalent in France or abroad.

Language prerequisites

  • English
  • French

How to apply

Applications can be submitted exclusively online. You will need 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 of the closing date for the application session.

Fees and scholarships

Tuition fees will be communicated when admission opens.

Find out more about scholarships

Applications and admission dates

Admission page

Coordinators

Matthieu Lerasle (Institut Polytechnique de Paris),

Nicolas Curien (Université Paris-Saclay),

Program office

Nicolas Apoteker,

General enquiries

master-admission@ip-paris.fr