6 October 2020

program

  • http://cse.mcmaster.ca
  • any area of study in ‘computational science’ (including engineering, business, health science) (see CSE faculty)
  • not: computer science, software engineering, data analytics …
  • hydrodynamics, bioinformatics, optimization for business, numerical analysis, computational statistics …

project master’s (MSc/MEng)

  • 16 months
  • 6 half-courses including three from CSE 700 (scientific computation), CSE 701 (scientific programming), CSE/STAT 780 (data science) or CSE 745 (parallel computation)
  • CSE seminar
  • research project with supervisor
  • not PhD-track

thesis master’s (MSc/MASc)

  • 20 months
  • 4 half-courses including two from CSE 700/701/745/780
  • CSE seminar
  • thesis with supervisor
  • may transfer to PhD

PhD

  • 4 years
  • 6 courses (fewer if previous Master’s)
  • CSE seminar
  • comprehensive exam
  • research thesis

funding

  • grad scholarship
  • teaching assistantship
  • research assistantship
  • external scholarships: NSERC, OGS, etc (Mitacs)

admission

  • must be accepted by a supervisor
  • B.A. or B.Sc. honours degree, with a B+ standing, or equivalent
  • good background in statistics/mathematics and some computer science or programming background
  • degrees in any area will be considered, given sufficient background
  • two strong reference letters
  • transcripts
  • TOEFL or equivalent (applicants whose native language is not English)
  • statement of interest

deadlines

  • September: 31 May (international), 15 June (domestic)
  • Jan: 30 September
  • May: 31 December

career paths

  • academia
  • public sector
  • industry