MSc Computational Science and Engineering

Explore the world with mathematics and computers.

Computational Science and Engineering is a broad multidisciplinary area which joins computer science and numerical mathematics. Rather than performing costly and tedious experiments, practitioners study complex systems and natural phenomena through numerical simulations. They run computerised simulations of different scenarios for data analysis, in view of optimising production and efficiency.
The focus of the programme is on the development of the students’ readiness in solving problems of complex nature in science and technology using computational modelling, analysis and simulations. They will furthermore be instructed to develop efficient, novel and robust computational procedures and problem-solving methodologies to be utilised in different settings.

Career Prospects

  • The intended postgraduate student is a highly versatile person who can operate in multidisciplinary areas like weather prediction, traffic simulation, vehicles design, bioengineering, environmental modelling, web search engine and molecular biology amongst others.


Demonstrate a sound understanding of computational methods for solving scientific and engineering problems.
Be able to numerically simulate real world environments, and to understand the mathematics behind.
Possess problem solving techniques strongly transferable for immediate use within industry.
Be familiar with a variety of computerised and scientific tools for collecting and analysing data.


  • As per UTM’s Admissions Regulations.
  • A bachelor degree with significant content of Mathematics / Statistics.


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


Scientific and Statistical Programming
Numerical Computation
Methods for Operational Research
Big Data Analysis Techniques
Network Analysis and Modelling
Statistical Simulation
Matrix Algorithms
Advanced Operational Research Methods
Numerical Differential Equations
Data Analysis and Statistical Models
Bioinformatics and Evolutionary Algorithms
Scientific Visualisation
Master’s Dissertation