Department of Biology
208 Nesbitt Building
613-520-2600 ext. 8814
http://carleton.ca/biology
School of Mathematics and Statistics
HP 4302
613-520-2155
http://mathstat.carleton.ca
Department of Physics
Room 3302 Herzberg Laboratories
613-520-4320
http://physics.carleton.ca
Department of Mechanical and Aerospace Engineering
3135 Mackenzie Building
613-520-5684
http://carleton.ca/mae/
Department of Systems and Computer Engineering
4456 Mackenzie Building
613-520-5740
http://sce.carleton.ca
This section presents the requirements for programs in:
- M.A.Sc. Biomedical Engineering with Collaborative Specialization in Bioinformatics
- M.Sc. Biology with Collaborative Specialization in Bioinformatics
- M.Sc. Mathematics and Statistics with Specialization in Bioinformatics
Program Requirements
The student is responsible for fulfilling both the participating unit requirements for the Master's degree, and the requirements of the Collaborative Program.
The minimum requirements of the collaborative program include successful completion of two required courses, and a master's thesis on an approved bioinformatics topic.
Required courses:
- 0.5 credit in BIOL 5515 Bioinformatics
- 0.5 credit in BIOL 5517 Bioinformatics Seminar
- Thesis - candidates must successful complete a research thesis on a topic in bioinformatics supervised by a faculty member of the Collaborative Program in Bioinformatics.
Notes:
- Students in programs in Biology and Mathematics & Statistics may use BIOL 5515 Bioinformatics to count towards degree requirements; BIOL 5517 Bioinformatics Seminar must be taken in addition to the regular seminar course.
- Students in Biomedical Engineering may use both BIOL 5515 Bioinformatics and BIOL 5517 Bioinformatics Seminar to count towards degree requirements.
- In addition, the student's thesis committee or advisory committee may direct the student to take or audit further courses to complement the student's background and research program.
M.A.Sc. Biomedical Engineering
with Collaborative Specialization in Bioinformatics (5.0 credits)
Consult the Bioinformatics section for details regarding admission requirements to this program.
| Requirements - thesis pathway (5.0 credits) | ||
| 1. 0.5 credit in: | 0.5 | |
BIOM 5010 [0.5] | Introduction to Biomedical Engineering | |
| 2. 1.0 credit in: | 1.0 | |
BIOL 5515 [0.5] | Bioinformatics | |
BIOL 5517 [0.5] | Bioinformatics Seminar | |
| 3. 1.0 credit in BIOM (BMG) courses | 1.0 | |
| 4. 2.5 credits in: | 2.5 | |
BIOM 5909 [2.5] | M.A.Sc. Thesis (in the specialization) | |
| 5. 0.0 credit in: | 0.0 | |
BIOM 5800 [0.0] | Biomedical Engineering Seminar | |
| Total Credits | 5.0 | |
M.Sc. Biology
with Collaborative Specialization in Bioinformatics (5.0 credits)
| Requirements: | ||
| 1. 1.0 credit in: | 1.0 | |
BIOL 5515 [0.5] | Bioinformatics | |
BIOL 5517 [0.5] | Bioinformatics Seminar | |
| 2. 4.0 credits in: | 4.0 | |
BIOL 5909 [4.0] | M.Sc. Thesis (in the specialization, including successful oral defence) | |
| Total Credits | 5.0 | |
M.Sc. Mathematics and Statistics
with Specialization in Bioinformatics (4.5 credits)
| Requirements: | ||
| 1. 1.0 credit in: | 1.0 | |
BIOL 5515 [0.5] | Bioinformatics | |
BIOL 5517 [0.5] | Bioinformatics Seminar | |
| 2. 1.5 credits in coursework | 1.5 | |
| 3. 2.0 credits in: | 2.0 | |
MATH 5909 [2.0] | M.Sc. Thesis in Mathematics (on an approved bioinformatics topic) | |
| Total Credits | 4.5 | |
- Students must receive approval for course selection from their supervisor before registering in courses.
- All master's students should normally participate in a seminar or research talks under the guidance of their supervisors.
Bioinformatics-Related Courses
Biology
| BIOL 5105 (BIO 5302) | Methods in Molecular Genetics | |
| BIOL 5201 (BIO 8301) | Evolutionary Bioinformatics | |
| BIOL 5409 (BIO 5306) | Modelling for Biologists | |
| BIOL 5501 (BIO 8120) | Directed Studies in Biology | |
| BIOL 5502 (BIO 8102) | Selected Topics in Biology | |
| BIOL 5516 (BNF 5107) | Applied Bioinformatics |
Biomedical Engineering
| BIOM 5405 (BMG 5305) | Pattern Classification and Experiment Design |
Computer Science
| COMP 5306 (CSI 5100) | Data Integration | |
| COMP 5307 (CSI 5101) | Knowledge Representation | |
| COMP 5704 (CSI 5131) | Parallel Algorithms and Applications in Data Science | |
| COMP 5703 (CSI 5163) | Algorithm Analysis and Design | |
| COMP 5108 (CSI 5126) | Algorithms in Bioinformatics |
Mathematics and Statistics
| STAT 5708 (MAT 5170) | Probability Theory I | |
| STAT 5709 (MAT 5171) | Probability Theory II | |
| STAT 5703 (MAT 5181) | Data Mining | |
| STAT 5702 (MAT 5182) | Modern Applied and Computational Statistics | |
| STAT 5600 (MAT 5190) | Mathematical Statistics I | |
| STAT 5501 (MAT 5191) | Mathematical Statistics II | |
| MATH 6507 (MAT 5319) | Topics in Probability |
Systems and Computer Engineering
| SYSC 5104 (ELG 6114) | Methodologies For Discrete-Event Modeling And Simulation | |
| SYSC 5703 (ELG 6173) | Integrated Database and Cloud Systems |
Regulations
See the General Regulations section of this Calendar, and the regulations pertaining to the participating units offering this specialization.
Admission
Application to the Program
Applications should be directed to the primary participating unit which is the most appropriate to the student's research interests. Once accepted into one of the participating graduate programs, students must then be sponsored into the collaborative program in Bioinformatics by a faculty member. This is normally the student's supervisor. This faculty member must be appointed, cross-appointed or stand as an adjunct at one or more of the participating units.
Application forms and further information can be obtained by writing directly to any of the participating institutes or departments, or the program coordinator.
Requirements
The requirements for admission to the master's in the Collaborative Program in Bioinformatics are as follows:
- prior admission to the master's program in one of the supporting units participating in the program.
- a letter of recommendation from the participating faculty member of the Collaborative Program, which both recommends admission and indicates the willingness of the faculty member to supervise the candidate's research program in Bioinformatics.