Computational Sciences (M.Sc.)
Study advanced applications of computer science and how it can help people in everyday life.
Academic Advisor
Prof. Waldemar Koczkodaj
Telephone: 705-675-1151 ext.2311
Email: wkoczkodaj@cs.laurentian.ca
Office: Fraser Auditorium Sudbury Campus

Thesis List
A list of all the Thesis' written by students in the Computational Sciences program.
FAQ
Admission for the M.Sc. Computational Sciences program requires a bachelor's degree in a suitable field at the Honors level (or equivalent), with a minimum average grade of 70 % (B average).
Application Process
Step 1. Contact the Graduate Coordinator and/or individual faculty member about the possibility of becoming a student. Students are encouraged to consult the faculty list on the Faculty Members tab in order to identify a potential supervisor (i.e. a faculty member they would like to work with).
Step 2. Click here to submit the online application. Once students have applied, they will receive instructions (typically within 48 hours) from the Office of Admissions leading them to the MyLaurentian portal. Students can access the portal at my.laurentian.ca; sign in credentials will be provided in the correspondence received from the Office of Admissions upon successful completion of an application. The following documents will be required in order to complete an application.
Documents:
- Three Reference Forms (to begin the process at my.laurentian.ca click on "Reference Submission" on the left-hand navigation menu)
- Statement of Interest (to be uploaded via MyLaurentian)
- Curriculum Vitae/Resume (to be uploaded via MyLaurentian)
- Official Academic Transcript(s) from all post secondary studies* (Please note that current or prior Laurentian University students do not need to request transcripts)
*Please note that official transcripts or WES course-by-course (for institutions attended outside of North America) must come directly to the Office of Admissions from the previous post secondary institution by requesting at the time of your application or by contacting the institution's Registrar's Office.
Step 3. Once the Admissions Office receives all information and the application is deemed complete, the application will be forwarded to the department. An Admissions Committee meets to review the applications.
Step 4. The Admissions Committee will review all applications on file and make a decision regarding the suitability of each applicant. The Admissions Committee will then make a recommendation to the Dean of the School of Graduate Studies at Laurentian University. The Graduate Studies office will verify the dossier and if satisfactory, the Dean of Graduate Studies will forward the recommendation to the Office of Admissions at Laurentian University for admission.
Step 5: If approved for admission, the Office of Admissions will send the student an Offer of Admission via MyLaurentian. Applicants wishing to accept the offer of admission must indicate their response on MyLaurentian within 3 weeks of receiving the offer. Once the student has accepted the offer, a transition to the registration process occurs.
For Current Students
The degree options listed below are for the upcoming academic year, not the current academic year. If you are a current student looking for which courses to take in order to complete your degree options from a previous academic year's curriculum, please consult with an academic advisor.
Students must follow these regulations while in the Faculty of Graduate Studies.
Approved Fields of Study
- Computation Sciences
MSc Computational Sciences
CPSC 5000E Thesis
CPSC 5506E Introduction to computational sciences
CPSC 5016E Seminar in Computational Sciences
Three (3) elective courses from the list below. A student may take at most one cross-listed course:
CPSC 5006E Matrix Computation
CPSC 5206E Topics in Mathematics
CPSC 5207E Topics in Computer Science
CPSC 5216E High-Performance Scientific Computing
CPSC 5217E Numerical Solution of Partial Differential Equations
CPSC 5306E Research Topics in Data Management
CPSC 5307E Search and Discrete Optimization
CPSC 5406E Knowledge Discovery in Databases
CPSC 5416E Image Processing & Computer Vision
CPSC 5627E Knowledge Representation and Reasoning
Up to two 3 credit courses offered as part of other Laurentian University graduate programs subject to the approval of the student's Advisory Committee
Cross-listed courses:
CPSC 5516E Symbolic Computation
CPSC 5926E Human-Computer Interaction
The Graduate Advisory Committee may require the student to take additional courses.
MSc Computational Sciences - course based (30 credits)
CPSC 5506E Introduction to computational sciences
21 to 27 credits of Group A electives
0 to 6 credits of Group B electives
Group A electives (21 to 27 credits):
CPSC 5306E Research Topics in Data Management
CPSC 5627E Knowledge Representation and Reasoning
CPSC 5216E High-Performance Scientific Computing
CPSC 5006E Matrix Computation
CPSC 5207E Topics in Computer Science
CPSC 5406E Knowledge Discovery in Databases
CPSC 5416E Image Processing & Computer Vision
CPSC 5926E Human-Computer Interaction
CPSC 5307E Search and Discrete Optimization
CPSC 5616E Machine Learning and Deep Learning
CPSC 5617E Computer Ethics
CPSC 5001E Project in Computational Sciences
COSC 4117E Project in Computational Sciences (if not counted/completed in undergraduate degree)
Group B electives (non-computational science) (0 to 6 credits):
ENGR 5556E Advanced Modelling and Control of Robot Manipulators
OPER 5001E Business Statistics
OPER 5002E Management Science
OPER 5101E Management Information Systems
OPER 5102E Project Management
OPER 5011E Operations Management
PSYC 5106E Applied Multivariate Statistics
___________________________________________________________
Program regulations
- A student may take elective courses from a list of approved graduate courses in other departments with the approval of the supervisor and the graduate advisory committee.
- Students must obtain a minimum grade of 60% in each graduate course in order to pass the course.
- Students must obtain an overall average of 70% in their coursework in order to complete the degree requirements.
- Thesis Stream: The student must prepare and submit a Research Proposal that is approved by the student’s Advisory Committee. This proposal must be submitted and approved by the end of the second academic term of study in order for the student to continue in the program. Changes to the Proposal must be approved by the Advisory Committee.
- Thesis Stream: The student must complete and defend the Masters thesis (CPSC 5000, 6 credits).
- The Graduate Advisory Committee may require the student to take additional courses.
- A student may be allowed to transfer at most 3 credits of a graduate course from another university that was not counted towards a graduate program requirement; these transfer credits may only serve as an elective and must be approved by the supervisor and the graduate advisory committee.
- Thesis Stream: Preparation and submission of a Research Proposal that is approved by the student’s Advisory Committee and by the Department of Mathematics and Computer Science. This proposal must be submitted and approved by the end of the second academic term of study in order for the student to continue in the program. Changes to the Proposal must be approved by the Advisory Committee.
- Thesis Stream: General regulations regarding thesis defense procedures are outlined in the School of Graduate Studies calendar.