Presentation of the Engineering Senior Statisticians Economists (ISE) course

ENSEA’s Engineering Senior Statisticians Economists (ISE) programme is one of the most popular courses in Africa, due to the quality of the training and the high employability rate of its graduates. The ISE course is an engineering programme that awards the Master’s degree, the objective of which is to train students capable of contributing to the fundamental orientations of development actions of para-public, public and private bodies.
ISE Degree holders are capable of participating in the definition of economic and social policies, analysing complex structures, analysing surveys, writing reports and synthesis work and drawing up national accounts and price indices.

Admission requirements

Admission in this very selective training course, which thus aims to be elitist, is only gained by entry examination. It is open to students :

  • holders of a Licence degree in economics or mathematics,
  • from the scientific preparatory classes of the INP-HB or
  • holders of the Engineering Senior Statistician (ITS) degree.



The Engineering Senior Statistician Economist training extends over three school years and includes both theoretical courses and practical work in the field in the context of internships in companies or in public or para-public institutions or international organisations, etc.

During his training, an ISE student receives a wide range of teaching covering many areas of expertise, such as: economics, sociology, computer science, finance, management, etc. Thus, an ISE student follows two (02) years of general learning before specialising in the third year.


Teaching Units

The table below summarises the Teaching Units (TU) mapped to the general learning outcomes:

Teaching Unit   General training outcomes
Computer science- Office automation
- Statistical software
- Database
Economics - Theoretical concept of important concepts in economics
- Tools needed to carry out a study or economic analysis
- Application of theoretical concepts case studies
Finance - The fundamental notions of general finance
- Understanding financial models
Mathematics - Necessary tools for understanding the statistical methods
- Necessary tools to enable the continuation in the field of scientific research
Statistics - Survey practice
- Statistical study preparation
- Design of collection tools
- Data processing and analysis
- Statistical modelling


Specialised advanced courses leading to areas of expertise in both the public and private sectors, are available:

  • Advanced Statistics ;
  • Finances ;
  • Actuarial ;
  • Macroeconomics ;
  • Business.

a) Actuarial Sciences

After their training, students who have chosen this specialised course have the double diploma: Engineering Senior Statistician Economist (ISE) degree from ENSEA and Actuary degree from ISFA of Lyon. Students in this actuarial option specialise in the application of probability, statistics and risk management. They become familiar with the fields of: insurance, finance and social protection. By learning to provide concrete answers in terms of portfolio valuation, pricing, risk modelling, solvency measurement, etc…
The training covers the following modules:
  • 1. Stochastic Process II

  • 2. Risk Management

  • 3. Portfolio Selection and Arbitration

  • 4. Actuarial sciences - Life

  • 5. Actuarial sciences - Damages

  • 6. Actuarial Techniques

  • 7. Financial Econometrics

b) Statistics and Econometrics

Focusing on mathematical statistics, this option is oriented towards the field of statistical research. It introduces in-depth statistical concepts, including advanced econometric models. From the 2018-2019 academic year, a Data Science component has been introduced.
The modules covered by the Statistics and Econometrics specialised course are as follows:
  • 1. In-depth Time Series

  • 2. In-depth Data Analysis

  • 3. Stochastic Processes II

  • 4. Exploratory data analysis

  • 5. Panel Data Econometrics

  • 6. Duration models

c) Macroeconomics

Focusing on the management of public economic policies, this option provides students with the necessary tools to carry out national and international economics.
The training covers the following modules:
  • 1. Computable General Balance Modeling

  • 2. Monetary and Financial Macroeconomics

  • 3. In-depth Time Series

  • 4. Real and Monetary Cycles

  • 5. Labour Market and Employment Policies

d) Business Economics

This option offers a complete range of decision support tools for companies, based in particular on methods developed in statistics and Business Analytics. This specialised course trains students in modern quantitative methods while giving them a global vision of the company and its environment. It enables them to acquire operational skills in a wide range of professions and sectors. The modules covered by the Business Economics are as follows:
  • 1. Business Financing

  • 2. Market Research (Marketing)

  • 3. Stock Exchange Techniques

  • 4. Financial Analysis and Business Diagnosis

  • 5. Operational Research

  • 6. Trade Law

e) Finance

The objective here about is about providing the most advanced statistical and econometric methods for application to financial data and issues. The modelling of time series is central to this specialised course: financial series at high/medium/low frequency, univariate and multivariate, discrete or continuous time.
  • 1. Computable General Balance Modeling

  • 2. Monetary and Financial Macroeconomics

  • 3. In-depth Time Series

  • 4. Real and Monetary Cycles

  • 5. Labour Market and Employment Policies

Jobs Opportunities

They are called upon to serve in the national statistical or planning services, in other administrative services, in public, semi-public or private organisations (non-financial organisations, banks, insurance, investment companies, research companies, etc.) in their countries.