Scientific Computing & Industrial Modelling
Bridging mathematical theory and industrial application through computational excellence—from high-performance simulation to model-based decision support for Ghana’s energy, manufacturing, and infrastructure sectors.
Program Highlights
High-Performance Computing
Industrial Partnerships
Advanced Algorithms
Global Impact
Lead Faculty
Prof. Kwabena Mensah
Scientific Computing Laboratory
Prof. Kwabena Mensah leads research in computational fluid dynamics, industrial modelling,…
View profileDr. Elena Boateng
Computational Mathematics
Dr. Elena Boateng specialises in numerical analysis, computational geometry, and high-accu…
View profileDr. Sam Owusu
Applied Probability Group
Dr. Sam Owusu works on stochastic processes and uncertainty quantification for industrial …
View profileProf. Linda Quartey
Graduate Studies Office
Prof. Linda Quartey leads interdisciplinary programmes linking applied mathematics with in…
View profileRequirements
Admission Requirements
- A strong undergraduate degree in mathematics, physics, engineering, or a closely related quantitative field.
- Evidence of programming experience (Python, C/C++, MATLAB, or Julia preferred).
- Statement of purpose outlining research interests in scientific computing or industrial modelling.
- Two academic references familiar with your mathematical and computational preparation.
Program Expectations
- Core coursework in numerical methods, HPC, and applied modelling.
- Participation in laboratory seminars and industry-linked project studios.
- Thesis or capstone research supervised by NIMS faculty.
Application Timeline
Applications typically open in the first quarter of the year. Early contact with a prospective supervisor is encouraged.