Econométrics & Statistics

The Econometrics & Statistics Master’s degree offered by ISFA covers Risk Engineering and Applied Econometrics.
Until now, ISFA risk engineers were taught under the SAFIR Master’s Degree in Risk Engineering. An innovation of the 2016 reopening of the university was to merge this course with the EQUADE (Quantitative Economics for Decision Making) Applied Econometrics course, to create our new Master’s degree in Econometrics & Statistics.
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A course designed for risk engineers ...

 

In our modern society, making decisions, which are by nature risky, is becoming ever more complex. Practical issues are also as universal (e.g. the lengthening of life) as they are close to everyday life (e.g. health access). Dealing with these questions requires relying on a cross-discipline approach (applied mathematics, econometrics, statistics, management, computer sciences, …) in order to understand behaviours, to model and to quantify risks.

The areas of employment for our students following their course range from Risk Managers, Data Scientists, Decision Makers, to Business Analysts.

The aim of our Master’s degree is to train managers, consultants and design engineers, competent in the fields of business management, risk analysis and decision making.
The training is based on the cross-disciplinarity which brings together applied mathematics, computer sciences, big data processing, finance, insurance and law to analyse behaviours, to model and to quantify risks.

The controlling of risks is a major issue for business: reacting to consequences of the lengthening of life, global warming, the emergence of cyber risks; imagining a health access policy; deciding between protecting (risk sharing) and inciting (financing); covering new financial and insurance risks; and using massive datasets to develop new models for decision making.

After a common core syllabus in the 1st year, the course offers 5 specialities for the 2nd year of the degree.

 

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1st year Master’s degree

  • Econometrics & Statistics
  • Probabilities & Random models
  • Data analysis and classification
  • Decision making, games & information
  • Risk management
  • Data analysis
  • English
  • Programming & complexity
  • Computer Sciences
  • Project management
  • Law
  • Businesses and their risks

    • 3-month internship

2nd year Master’s degree

Core syllabus :
  • Mathematics and computer sciences
  • English
  • Law
  • Economics

Year-long university and work internship*
or 5 to 6-month continuous internship

The 5 specialisations to choose from during the 2nd year:

*Internship possible for the EQUADE, DRM, IRF and SRI specialisations

 

M2 EQUADE
Quantitative Economics for Decision-Making

  • Econometrics
  • Statistics
  • Data mining
  • Incentive, selection and behaviour
  • Evaluation of decision mechanisms
  • Interaction and information

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M2 DRM
Decision Risk-Management

  • Decisional statistics
  • Data mining and text mining
  • Business risks
  • Regulations
  • Process of risk management




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M2 SRI
Security and Cybersecurity

  • Advanced programming
  • Auditing and ethical hacking
  • Project management
  • Cyber law
  • Encryption tools for system security
  • Authentication protocols

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M2 IRF
Engineering and Financial Risks

  • Business finances
  • Bank and market risks
  • Financial markets
  • Option theory
  • Portfolio management
  • Merger and acquisition operations

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M2 GRAF
Risk management in Insurance and Finance

  • Studies and research of the risks in finance and insurance
  • Advanced tools and modelling
  • Portfolio management and financial theory
  • Behaviour in Finance and Insurance

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[Apply for Econometrics & Statistics course]