University of Mauritius – UOM
Course : MSc in Mathematical and Scientific Computing
Area of study : Science Langue d'enseignement : English Licence required
MSc in Mathematical and Scientific Computing
Start date
Application deadline

The Master of Science in Mathematical and Scientific Computing is an innovative postgraduate program of study designed for undergraduate degree holders with a background in a quantitative discipline and intending to gather the knowledge and skills necessary to embark on a career in the fields of mathematical and scientific computation, and data analysis. The course contains the necessary mathematical content that is the primary prerequisite for data analysis and data science, thus helping to develop a thorough understanding of new technologies in the modern world.

Admission criteria
  • A Bachelor Degree in any field related to mathematics, statistics, computer science, physics, engineering, economics, finance, actuarial science
  • Or any other qualification (academic or professional) acceptable to UoM.
Application fee

75800 MUR / year


2 ans



Delivered by

University of Mauritius – UOM

  • Build, develop, and apply mathematical knowledge using advanced computer tools to meet industry challenges.
  • Gain practical, hands-on experience with programming languages and tools.
  • Improve knowledge and skills related to the practice of problem analysis and decision making.
Professional opportunities
  • Upon successful completion of this program, graduates should be equipped with the skills to pursue careers in the fields of mathematical and scientific computation, and data analysis and those that require critical thinking and problem solving skills, such as finance, banking, insurance and computer science.
Course contents

year 1 - Semestre 1

  • Algorithmic intelligence
  • Simulation and modeling
  • Numerical calculations
  • Valuation and risk models
  • Data Intelligence for Business Analytics
  • Scientific visualization and data analysis

year 1 - Semestre 2

  • Statistical modeling
  • Project
  • Applied time series analysis and forecasting
  • Mathematical Finance
  • Financial modeling and calculations
  • Optimization
  • Mathematical modeling