• ECTS

    120 credits

  • Duration

    2 years

  • Training structure

    Faculty of Economics

  • Language(s) of instruction

    French

Presentation

Actuarial Science is a course of study within the Money, Banking, Finance, and Insurance program.

This program provides students with the theoretical and methodological knowledge necessary to pursue a career as an actuary and prepares future researchers in this field.

  • What is an actuary?

Professional specializing in the application of probability theory and statistics to insurance, finance, and social security issues.

To do this, they analyze the financial impact of the risk and estimate the associated future cash flows. Actuaries use mathematical techniques, mainly derived from probability theory and statistics, to describe and predict certain future events, such as human life expectancy, the frequency of claims, or the extent of associated financial losses.

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The advantages of the training program

This master's program is the only one of its kind in the Occitanie region. It is the only master's degree in the Hérault department that offers the opportunity to pursue a career in actuarial science. This is a real opportunity for students in our department and even our region. It should be noted that this is one of the few actuarial science programs in France.

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Objectives

The objectives of this Master's program are:

  • To enable students to acquire actuarial methods and tools and to apply them in their professional practice.
  • To enable students to acquire the theoretical and methodological knowledge necessary to pursue a career as an actuary and to prepare future researchers in this field.
  • Mastering actuarial concepts, techniques, and methods.
  • To be able to organize, analyze, and synthesize the processing of information and results.
  • To handle large databases
  • Mastering the most powerful software/computer languages:
    SAS, R, C++, SQL, etc.
  • To specialize in theoretical and quantitative areas related to risk management (Basel III and Solvency II) using statistical or stochastic modeling.
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Organization

Special facilities

Study and exam accommodations are available for students with recognized disabilities and/or high-level athletes.

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Program

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  • Theoretical econometrics

    5 credits
  • Market finance

    4 credits
  • Monetary and financial macroeconomics

    3 credits
  • Forecasting methods

    5 credits
  • Algorithms and Programming

    3 credits
  • Data mining and big data

  • Data warehouse

  • Language selection list

    • Choose one of two options:

      • English for Finance 1

        2 credits
      • Spanish 1

  • Economics of Bancassurance

    3 credits
  • Introduction to Stochastic Calculus

    4 credits
  • Corporate finance

    4 credits
  • Introduction to SAS

    2 credits
  • Actuarial models in Excel VBA

    3 credits
  • Time series econometrics

    5 credits
  • Technical analysis

    2 credits
  • Applied econometrics project

    5 credits
  • Actuarial techniques

    3 credits
  • Choose one of two options:

    • English for Finance 2

      2 credits
    • Spanish 2

      2 credits
  • Optional

    • UM Student Engagement

  • Financial markets and financial theory

    2 credits
  • Professional development conferences

  • Trading algorithm

    1 credit
  • Portfolio management under R

    1 credit
  • Non-Life Actuarial Science

    3 credits
  • Financial analysis (Bank of France)

    1 credit
  • Introduction to Artificial Intelligence in Python

    0.5 credits
  • Primary stock market: initial public offering

    0.5 credits
  • Stochastic calculus

    2 credits
  • Financial English

    1 credit
  • Enterprise risk management

    1 credit
  • Exploratory statistics (SAS)

    1 credit
  • Computer techniques (VBA)

    1 credit
  • Modeling emerging risks

    2.5 credits
  • Life Actuarial Science

    2.5 credits
  • Cybersecurity and cryptography

    1 credit
  • Econometrics applied to finance

    2 credits
  • Financial market econometrics

    2 credits
  • Financial big data

    1 credit
  • FinTechs, Blockchain, and Cryptocurrencies

    1 credit
  • Numerical methods in actuarial science "VBA"

    2 credits
  • Banking and insurance regulations

    1 credit
  • Introductory seminars on research

Admission

Admission requirements

APPLICATIONS:

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Registration procedures

Enrollment takes place during the enrollment period after a favorable decision on an application for the Master's program.

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Capacity

40 students in their first year of a Master's degree

30 students in their second year of a Master's degree

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And after

Professional integration

"This program is quite comprehensive overall. It provides a general overview of finance while covering several areas at the same time. I particularly enjoyed the courses on trading algorithms, market finance, and forecasting methods, which allowed me to deepen my knowledge of market finance and understand how financial markets work.

There are no secrets to success. It is essential to attend lectures and tutorials so that you don't quickly lose your way. It is also important to consult past exam papers before each exam session in Master 1.

Finally, the big plus point is being able to do an internship in Master 1 (optional internship) and Master 2 (compulsory internship). This allowed me to build a network in my field of activity, gain my first experiences in the professional world, and above all, feel less apprehensive about each job interview I had."

G. H. Former student in the Actuarial Science program

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