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

How to Apply
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Delivery Method: On campus
Program Language: English


Thesis List

A list of all the Thesis' written by students in the Computational Sciences program.

Download the list (PDF)

 

FAQ

Download the document.

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

 

Master in Computational Sciences

     CPSC 5000 Thesis
     CPSC 5506 Introduction to computational sciences
     CPSC 5016 Seminar in Computational Sciences
     Three (3) elective courses from the list below. A student may take at most one cross-listed course:
            CPSC 5006 Matrix Computation

            CPSC 5206 Topics in Mathematics

            CPSC 5207 Topics in Computer Science
            CPSC 5216 High-Performance Scientific Computing
            CPSC 5217 Numerical Solution of Partial Differential Equations
            CPSC 5306 Research Topics in Data Management
            CPSC 5307 Search and Discrete Optimization
            CPSC 5406 Knowledge Discovery in Databases
            CPSC 5416 Image Processing & Computer Vision
            CPSC 5627 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 5516 Symbolic Computation
                CPSC 5926 Human-Computer Interaction 

 

The Graduate Advisory Committee may require the student to take additional courses.

 

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.
  • 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.
  • 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.
  • 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.
  • General regulations regarding thesis defense procedures are outlined in the School of Graduate Studies calendar.

Year:

CPSC-5000EL - Thesis CPSC-5006EL - Matrix Computations CPSC-5016EL - Seminar in Comp. Science CPSC-5206EL - Topics in Mathematics CPSC-5207EL - Topics in Computer Science CPSC-5216EL - High-Performance Computing CPSC-5217EL - Numerical Solution of Partial Differential Equations CPSC-5306EL - Research Topics in Data Mgmt
CPSC-5307EL - Search and Discrete Optimization CPSC-5406EL - Knowledge Discovery-Databases CPSC-5416EL - Processing & Computer Vision CPSC-5506EL - Introduction to Computational Science CPSC-5516EL - Symbolic Computation CPSC-5627EL - Knowledge Representation and Reasoning CPSC-5926EL - Human-Computer Interaction