Economics - Management

Actuarial science (MBFA MENTION)

  • ECTS

    120 credits

  • Duration

    2 years

  • Training structure

    Faculty of Economics

  • Language(s) of instruction

    French

Presentation

Actuarial science is part of the Money, Banking, Finance and Insurance specialization.

This course provides the theoretical and methodological knowledge needed 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 calculus and statistics to insurance, finance and welfare issues.

To do this, they analyze the financial impact of the risk and estimate the associated future cash flows. The actuary uses mathematical techniques, mainly derived from probability theory and statistics, to describe and model certain future events in a predictive way, such as the length of human life, the frequency of claims or the scale of associated financial losses.

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Objectives

The aim of this Master's degree is to :

  • To enable students to acquire actuarial methods and tools and apply them to their professional practice
  • To provide the theoretical and methodological knowledge needed to pursue a career as an actuary, and to prepare future researchers in this field.
  • Master actuarial concepts, techniques and methods.
  • Be able to organize, analyze and synthesize the processing of information and results.
  • Handle large databases
  • Mastery of the most powerful software / computer languages:
    SAS, R, C++, SQL ...
  • Specialize in the theoretical and quantitative aspects of risk management (Basel 3 and Solvency 2), based on statistical or stochastic modeling.
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Organization

Special features

Special study and examination arrangements are available for students with disabilities and/or high-level athletes.

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Program

See Knowledge control procedures

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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

    • Your choice: 1 of 2

      • 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
  • Your choice: 1 of 2

    • Financial English 2

      2 credits
    • Spanish 2

      2 credits
  • Optional

    • UM student commitment

  • Financial markets and financial theory

    2 credits
  • Professionalization conferences

  • Trading algorithm

    1 credits
  • Portfolio management under R

    1 credits
  • Non-Life Actuarial

    3 credits
  • Financial analysis (Banque de France)

    1 credits
  • Introduction to artificial intelligence in Python

    0.5 credits
  • Primary equity market: initial public offering

    0.5 credits
  • Stochastic calculus

    2 credits
  • English for finance

    1 credits
  • Enterprise risk management

    1 credits
  • Exploratory statistics (SAS)

    1 credits
  • Computer techniques (VBA)

    1 credits
  • Modeling emerging risks

    2.5 credits
  • Life Actuarial

    2.5 credits
  • Cybersecurity and cryptography

    1 credits
  • Econometrics applied to finance

    2 credits
  • Econometrics of financial markets

    2 credits
  • Financial Big Data

    1 credits
  • FinTechs, Block-Chain and Crypto-currencies

    1 credits
  • Numerical Methods in Actuarial Science "VBA

    2 credits
  • Banking and insurance regulations

    1 credits
  • Research seminars

Admission

Access conditions

CANDIDATES :

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How to register

Enrolment takes place during the enrolment period, after a favorable decision to apply for the Master's degree.

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Capacity

40 first-year Master's students

30 second-year Master's students

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And then

Professional integration

"This course is quite rich overall. It gives you a general view of Finance, while touching on several areas at the same time. I particularly liked the courses on Trading Algorithms, Market Finance and Forecasting Methods, which enabled me to deepen my knowledge of Market Finance and understand how the financial markets work.

There are no secrets to success: you need to attend classes and seminars to stay on track. It's also important to consult the exam books before each Master 1 exam session.

Last but not least, the big positive point is the opportunity to do internships in Master 1 (optional internship) and Master 2 (compulsory internship). This enabled me to build up a network in my field of activity, to have my first experiences in the professional world and, above all, to be less apprehensive about every job interview I had."

G. H. Former Actuarial Science student

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