Computational Sciences (M.Sc.)
Study advanced applications of computer science and how it can help people in everyday life.
Learn the theories, mathematics, and applications behind computer science!
Find solutions to many real-world problems using cutting-edge developments and tools. This degree will provide you with countless opportunities in expanding fields. Whether that be software engineering, scientific computation, and many more.
Academic Advisor
Prof. Kalpdrum Passi
Telephone: 705-675-1151 ext. 2345
Email: kpassi@laurentian.ca
Office: FA-380, Fraser Auditorium
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 (Thesis and Course-Based options) 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
If you are applying to the Course-Based program option, please proceed to Step 2.
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 (for the Thesis program only) ((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.
1. Check your program requirements
You can find your program requirements on this page, under admission requirements. For some Graduate programs you will need to secure a supervisor as part of your application process. You can find if you need to contact a supervisor on the how to apply to graduate programs page.
2. Complete your Application
Once you have reviewed your program requirements you can apply through the graduate application portal. This will take you to an external site, hosted by OUAC. Within 48 business hours of submitting your application you will receive an email with further instructions.
Apply Now3. Setup your myLaurentian account and upload your documentation
Once your application has been received by Laurentian University, you will receive an email that contains information on accessing your myLaurentian Portal where you will continue the application process. To activate your account, visit the myLaurentian Portal and click the yellow bar "New to Laurentian".
Please note that the submission of items on the “My Checklist” is solely the obligation of the applicant. Please review this list carefully in order to complete your application.
Learn more on our how to apply to graduate programs page.
Detailed How To ApplyThe 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
- Computational Sciences
MSc Computational Sciences (thesis-based)
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 5156E Research Methods
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)
Students need to take 30 credits. The courses have to be selected as follows:
Core course - 3 credits
Group A electives – 21 to 27 credits
Group B electives – 0 to 6 credits
Core course:
CPSC 5506E Introduction to Computational Sciences
Group A electives
CSPC 5306E Data Mining
CPSC 5627E Knowledge Representation and Reasoning
CPSC 5216E High-Performance Computing
CPSC 5006E Matrix Computations
CPSC 5207E Topics in Computer Science
CPSC 5406E Knowledge Discovery in Databases
CPSC 5416E Image Processing and 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 Science
CPSC 5156E Research Methods
COSC 4117E Artificial Intelligence
Group B electives (non-computational science)
ENGR 5556E Robotics
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
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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.