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Computational Sciences (M.Sc.)

Advance your computer science career and deepen your expertise with a Master of Computational Sciences degree from Laurentian University.

Overview

From AI to software engineering, study how advanced applications of computer science can help people in everyday life.

Apply your knowledge to improve many daily functions, from complex operations to everyday solutions with the Master of Computational Sciences program at Laurentian University.

Study a wide range of subjects including data mining, robotics, machine learning, AI, image processing, human-computer interaction, intelligent systems, bioinformatics, and other exciting areas. Prepare for the design and use of sophisticated computational methods in research and industry.

Other areas of study include software engineering, scientific computation, high-performance computing, computational statistics and optimization methods and techniques to solve business, industrial, medical, and scientific problems.

The program offers a thesis-based option and a course-based option. The thesis-based option requires a supervisor to guide the research leading to a thesis.

Key Features

A computer
Solve complex problems, design experiments with both the computer and algorithms.
A spider map
Apply your creativity, curiosity, design, and communication skills with those from other fields.
A head with a think bubble.
Students can choose to complete the thesis or the course-based option.

Career Opportunities

Graduates from the Master of Computational Sciences program can find employment in the following fields:

  • Consulting
  • Database design and implementation
  • Education
  • Graduate studies
  • Networking and security
  • Software development
  • Systems analysis
  • Web development

Does this program interest you?

Take an in-depth look at program details, courses, and degree options!

Program Details

Faculty Members

Core Faculty Members

  • Abdel-Dayem, Amr: Medical Imaging; Image Segmentation; Image Processing and Compression
  • Colin, Fabrice: Variational Methods in Partial Differential Equations;  Numerical Simulations of Partial Differential Equations
  • Grewal, Ratvinder: Human-Computer Interaction; Human Aspects of IT; Data Visualization; Game Design
  • Koczkodal, Waldemar: Decision and Expert Systems; Knowledge-Based Systems; System Analysis
  • Meyer, Ralf: High-Performance Computing; Nanostructured Materials; Phonic Crystals
  • Passi, Kalpdrum: Bioinformatics; Data Mining; Cloud Computing; Web Data Management
  • Serghini, Abdellatif: Numerical Methods for Partial Differential Equations, Finite Element & Volume Methods

 

Associated Faculty

 

Adjunct Members in Other Programs

  • Fava, Lorrie (MIRARCO): Ventilation and Production Optimization
  • Haibin Zhu (Nipissing University) Role-Based Collaboration, Adaptive Collaboration, Group Performance Optimization,  Software Engineering,   Service Computing and Cloud Computing, Computer-Supported Cooperative Work, Human Computer Interaction

 

Waldemar Koczkodaj

Waldemar Koczkodaj

Bharti School of Engineering and Computation
Kalpdrum Passi

Kalpdrum Passi

Bharti School of Engineering and Computation
Ratvinder Grewal

Ratvinder Grewal

Bharti School of Engineering and Computation
Fabrice Colin

Fabrice Colin

Bharti School of Engineering and Computation
Thomas Merritt

Thomas Merritt

School of Natural Sciences
Abdellatif Serghini

Abdellatif Serghini

Bharti School of Engineering and Computation
Amr Abdel-Dayem

Amr Abdel-Dayem

Bharti School of Engineering and Computation
Ralf Meyer

Ralf Meyer

Bharti School of Engineering and Computation