M.S. in Computational Science and Engineering from McMaster University 2025 Entry: Fees, Eligibility, Entry Requirements, Admission Deadlines & Scholarships

 Years

 Core Modules

 Optional Modules

Year 1

• Foundations of Scientific Computing

• Foundations of Modern Scientific Programming

• Parallel and High Performance Computing

• Computational Linear Algebra

• Visualization and 3D Rendering

• Symbolic Computing and Automatic Differentiation

• Introduction to Iterative Methods in Computational Science

• Introduction to Particle Methods

• Foundations of Computational Finite Element Methods

• Computational Modeling of Microstructure Formation

• Computational Physics

• Computational Chemistry: An Introduction

• Mathematical and Computational Fluid Dynamics

• Combustion Theory and Modeling

• Numerical Solution of Scalar Transport

• Compressible Computational Fluid Dynamics

• Solid Surface Modeling Techniques

• Principles of Pulse and Two-Dimensional NMR

• Optimization of Chemical Processes

• Modern Antennas in Wireless Telecommunications

• Computational Fluid Dynamics

• Fundamentals of Image Processing

• Engineering Optimization

• Algorithms for Constrained Optimization

• Algorithms for Unconstrained Optimization

• Deep Learning

• Data Science

• Statistical Learning

• Master Thesis 

• Thesis Defence

• Surrogate Modeling and Space Mapping

• Sensitivities, Tolerances, and Yield-Driven Design

• Numerical Time Domain Electromagnetic Technique

• Finite Element Techniques for Electromagnetics

• Linear Systems

• A Basic Introduction to Data Mining

• Advanced Topics in Knowledge Discovery

• Convex Optimization in Engineering

• Computational Geometry in the Plane

• Computational Geometry in Dimension 3 and Higher

• Numerical Methods for Ordinary Differential Equations and Differential Algebraic Equations

• Development of Scientific Computing Software

• Special Topics in Communication Systems and Networks

• Optimization Software Design

• Model-Based Image Reconstruction

• Medical Image Registration

• Optimization Under Uncertainty

• Mathematical Programming: Theory and Algorithms

• Special Topics in Signal Processing

• Data Structures and Algorithms

• Algorithms for Parameter and State Estimation

• Genomes and Evolution

• Advanced Statistics and Computational Methods I

• Bioinformatics

• Neural Network Models of Cognition and Perception

• Computational Biochemistry

• Special Topics in Biophysics

• Models of the Neuron