MSc Applied Statistics with Operational Research

Words count; let the numbers speak!

In this data deluge era, decision making and planning processes in almost all major institutions are increasingly becoming data dependent. Statistics provides the reasoning and techniques for producing and understanding data. This programme aims to bridge the gap between University and Industry by considering statistical and mathematical models relevant to the industry.
The programme is designed as an intensive two semester (full-time mode) or three-semester (part-time mode) course which focuses on training in statistics, predictive modelling and analysis with complex datasets for problems in forecasting and the understanding of the problem-solving process required when supporting management decision-making. The focus on operational research will further equip students with the necessary analytical abilities involved in efficient decision-making processes.

Career Prospects

  • Statisticians
  • Academia
  • Data collection research and analysis
  • Modelling and forecasting of time dependent phenomena
  • Operations research analysts
  • Marketing and quality improvement
  • Population research and surveys / social science statistics
  • Statistics/OR practitioners (health, manufacturing, transport)
  • The degree programme also serves as an excellent basis for students wishing to pursue studies for an MPhil/PhD, hence leading to careers as researchers in the field of statistics or modelling and forecasting.


Be able to manipulate, analyse and interpret real-world data.
Demonstrate a sound understanding on the advanced techniques employed to analyse complex organisational problems and help make better decisions.
Possess problem solving techniques strongly transferable for immediate use within industry.
Be able to deliver their competencies in the statistical models, relevant to the industry and hence become confident statistical analysts.
Be fluent with the main computational techniques used in applied statistics and operational research.


  • As per UTM’S Admission Regulations.
  • A recognised Bachelor Degree with significant content of Mathematics or Statistics.
  • For instance, a recognised bachelor degree in Statistics, Mathematics, Engineering, Business, Actuarial Science, Finance, A closely related field, or other qualifications (academic or professional) acceptable to the University of Technology, Mauritius can be considered.


12 Lessons1 year (FT) / 1.5 years (PT)


Fundamentals of Applied Statistics
Methods for Operational Research
Credit Scores and Data Mining
Simulation Techniques
Computational Methods in Statistics
Essential of Big Data
Time Series Econometrics
Advanced Operational Research Methods
Multivariate Data Analysis
Optimization Methods for Matrices
Stochastic Models and Forecasting
Machine Learning Techniques