Mathematics Programs

Actuarial Science

Actuarial Science (Professional Track)

The Actuarial Science program at the Mathematics and Computer Science Department offers a dual-degree training (Bachelor's and Master's) in collaboration with the Euro Institute of Actuarial Science (EURIA) at the University of Western Brittany (France) and the Institute of Actuaries of Côte d'Ivoire (IACI). The program prepares students for actuarial roles, including:

  • Analysis, management, and financial quantification of risks in both insurance and finance.
  • Application of mathematics and statistics to finance, insurance, and risk management.

Additional Details:

The actuary is a specialist in risk forecasting and management within insurance companies. They conduct studies to mathematically model these risks, including the development and pricing of insurance contracts, financial product evaluation, investment choices, and financial risk management. Actuaries must also be well-versed in legal, accounting, fiscal, and commercial aspects. The Actuarial Science-Bachelor's in Financial Mathematics allows for further studies in banking, insurance, finance, and econometrics.

Admission Requirements:

L1: Entry through competitive exam for holders of a scientific baccalaureate (C, D, E) or equivalent diploma.

L2: Entry through competitive exam for students who have completed L1 in Mathematics or those in their first year of a mathematics-oriented preparatory class.

L3: Entry through competitive exam for students who have completed L2 in Mathematics or those in their second year of a mathematics-oriented preparatory class.

Skills:

Upon completion of the program, graduates will be able to:

  • Analyze, model, and manage insurance and financial risks, considering the operational, accounting, and regulatory environment.
  • Implement risk valuation or management procedures and oversee their application within a company, anticipate projects arising from current societal challenges (longevity, dependency), and implement risk control procedures, portfolio management, etc.
Data Sciences

Master in Data Sciences (Professional Track)

The Data Sciences program at the Mathematics and Computer Science Department offers a comprehensive education covering both theoretical and practical aspects of data analysis. This Master's program is designed to train experts capable of processing, analyzing, and interpreting large quantities of data in various professional contexts.

  • Advanced data analysis to uncover trends and valuable insights.
  • Use of machine learning and artificial intelligence techniques to solve complex problems.
  • Development of predictive and prescriptive models to support strategic decision-making.
  • Data management and visualization using specialized tools and software.

Additional Details:

The Data Sciences program trains professionals capable of handling large data sets and extracting useful information for various applications. Students will learn to use modern tools for data analysis, including machine learning, statistical analysis, and data visualization. The curriculum also includes practical projects in collaboration with companies to gain real-world experience in the field.

Admission Requirements:

Admission based on application and interview for holders of a Bachelor's degree in Mathematics, Computer Science, Statistics, or a related field. Candidates must demonstrate a solid understanding of basic statistics and programming concepts.

Skills:

Upon completion of the program, graduates will be able to:

  • Collect, clean, and prepare data for analysis.
  • Develop and apply statistical models and machine learning algorithms for complex analyses.
  • Interpret analysis results and clearly communicate conclusions to stakeholders.
  • Utilize data science tools and technologies for data management and visualization.