Specializations and variants
Other information gathered
M.A.Sc. Aerospace Engineering with Collaborative Specialization in Data Science (5.0 credits) M.A.Sc. Materials Engineering with Collaborative Specialization in Data Science (5.0 credits) M.A.Sc. Mechanical Engineering with Collaborative Specialization in Data Science (5.0 credits)
Program pathways and conditions
These tables reproduce the source requirements for the indicated period. Official interpretation is the responsibility of the university.
Pathway 1
| Requirements: | ||
| 1. 2.5 credits in courses offered by the OCIMAE. | 2.5 | |
| 2. Participation in the Mechanical and Aerospace Engineering seminar series | ||
| 3. 2.5 credits in: | 2.5 | |
| MECH 5909 [2.5] | M.A.Sc. Thesis | |
| Total Credits | 5.0 |
Pathway 2
| Requirements: | ||
| 1. 0.5 credit in: | 0.5 | |
| DATA 5000 [0.5] | Introduction to Data Science | |
| 2. 0.5 credit from data science elective courses: | 0.5 | |
| MECH 5103 [0.5] | 3D Machine Vision: From Robots to the Space Station | |
| MECH 5205 [0.5] | Building Performance Simulation | |
| MECH 5504 [0.5] | Guidance, Navigation and Control | |
| MECH 5506 [0.5] | Neuro and Fuzzy Control | |
| MECH 5508 [0.5] | System Modelling, Dynamics and Control | |
| MECH 5509 [0.5] | Nonlinear Systems Analysis & Controls | |
| MAAJ 5026 [0.5] | System Modelling, Dynamics and Control | |
| MAAJ 5027 [0.5] | Nonlinear System Analysis and Controls | |
| MAAJ 5028 [0.5] | 3D Machine Vision: From Robots to the Space Station | |
| MAAJ 5055 [0.5] | High-Performance Parallel Scientific Computing | |
| MAAJ 5105 [0.5] | Non-Linear Optimization | |
| MAAJ 5251 [0.5] | Guidance, Navigation and Control | |
| MAAJ 5252 [0.5] | Neuro and Fuzzy Control | |
| SYSC 5001 [0.5] | Simulation and Modeling | |
| SYSC 5004 [0.5] | Optimization for Engineering Applications | |
| SYSC 5202 [0.5] | Applications in Biomedical Image Processing | |
| SYSC 5303 [0.5] | Interactive Networked Systems and Telemedicine | |
| SYSC 5405 [0.5] | Pattern Classification and Experiment Design | |
| COMP 5112 [0.5] | Algorithms for Data Science | |
| COMP 5204 [0.5] | Computational Aspects of Geographic Information Systems | |
| COMP 5306 [0.5] | Data Integration | |
| COMP 5703 [0.5] | Algorithm Analysis and Design | |
| COMP 5704 [0.5] | Parallel Algorithms and Applications in Data Science | |
| 3. 1.5 credits in courses offered by the OCIMAE. | 1.5 | |
| 4. Participation in the Mechanical and Aerospace Engineering seminar series | ||
| 5. 2.5 credits in: | 2.5 | |
| MECH 5909 [2.5] | M.A.Sc. Thesis (in the Specialization) | |
| Total credits | 5.0 |
Pathway 3
| Requirements: | |
| 1. 1.5 credits from the Aerospace Engineering Courses listed below. Up to 1.0 credit can be completed by taking courses in AERO at the 4000 level with the approval of the Associate Chair for Graduate Studies. | 1.5 |
| 2. 3.5 credits from any graduate level course offered by the OCIMAE | 3.5 |
| Total Credits | 5.0 |
Pathway 4
| Requirements: | |
| 1. 1.5 credits from the Materials Engineering Courses listed below. Up to 1.0 credit can be completed by taking courses in materials oriented MECH at the 4000 level and MAAE at the 4000 level with the approval of the Associate Chair for Graduate Studies. | 1.5 |
| 2. 3.5 credits from any graduate level course offered by the OCIMAE | 3.5 |
| Total Credits | 5.0 |
Pathway 5
| Requirements: | |
| 1. 5.0 credits from any graduate level course offered by the OCIMAE. Up to 1.0 credit can be completed by taking courses in MECH at the 4000 level and MAAE at the 4000 with the approval of the Associate Chair for Graduate Studies. | 5.0 |
| Total Credits | 5.0 |
Pathway 6
| Requirements (from the master's degree): | ||
| (from the master's degree) | ||
| 1. 1.5 credits in courses | 1.5 | |
| 2. Participation in the Mechanical and Aerospace Engineering seminar series | ||
| 3. Successful completion of the comprehensive examination according to section 9.4 and 9.5 of the General Regulations section of this Calendar | ||
| 4. 0.0 credits in thesis. | 0.0 | |
| MECH 6909 [0.0] | Ph.D. Thesis | |
| Total Credits | 1.5 |
Courses
These courses were identified on the program source page. Their presence does not mean they are all required in every pathway.
Sources and references
Reference year : 2026-27
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/grad/gradprograms/mechanicalandaerospaceengineering/