The program requires the successful completion of 4.00 graduate credits consisting of: six core courses (6 x 0.50 = 3.00) or four core courses (4 x 0.50 = 2.00) and a major research project (1.00); and two elective courses (2 x 0.50 = 1.00).
1. Core courses (0.5 credits each):
| Title |
Code |
Credits |
|---|
| Introduction to Data Science |
DATA*6100 |
0.5 |
| Data Manipulation and Visualization |
DATA*6200 |
0.5 |
| Analysis of Big Data |
DATA*6300/CIS*6180 |
0.5 |
| Machine Learning for Sequential Data Processing |
DATA*6400/CIS*6190 |
0.5 |
| Analysis of Spatial-Temporal Data (capstone)* |
DATA*6500 |
0.5 |
| Applications of Data Science (capstone)* |
DATA*6600 |
0.5 |
| Data Science Project* |
DATA*6700 |
1.0 |
*Students may elect to complete DATA*6700 Data Science Project, which could take the form of a faculty-supervised research project or work internship, in place of the two capstone courses. This option will depend on approval of the course instructor and on the availability of a faculty member who is willing to supervise the major research project. It is expected that most students will take the pass by course option.
2. Elective course options (0.5 credits each):
Mathematics and Statistics
| Title |
Code |
Credits |
|---|
| Computational Statistics |
STAT*6550 |
0.5 |
| Stochastic Modelling |
STAT*6721 |
0.5 |
| Statistical Learning |
STAT*6801 |
0.5 |
| Generalized Linear Models & Extensions |
STAT*6802 |
0.5 |
| Multivariate Analysis |
STAT*6821 |
0.5 |
| Computational Statistical Inference |
STAT*6841 |
0.5 |
| Statistical Methods for the Life Sciences |
STAT*6950 |
0.5 |
| Scientific Computing |
MATH*6020 |
0.5 |
| Optimization 1 |
MATH*6021 |
0.5 |
| Optimization 2 |
MATH*6022 |
0.5 |
| Mathematical Modelling |
MATH*6051 |
0.5 |
| Biomathematics |
MATH*6071 |
0.5 |
Computer Science
| Title |
Code |
Credits |
|---|
| Artificial Intelligence |
CIS*6020 |
0.5 |
| Neural Networks |
CIS*6050 |
0.5 |
| Discrete Optimization |
CIS*6070 |
0.5 |
| Multiagent Systems |
CIS*6160 |
0.5 |
| Image Processing Algorithms and Applications |
CIS*6320 |
0.5 |
Engineering
| Title |
Code |
Credits |
|---|
| Medical Imaging |
ENGG*6070 |
0.5 |
| Machine Vision |
ENGG*6100 |
0.5 |
| Optimization Techniques for Engineering |
ENGG*6140 |
0.5 |
| Mobile Devices Application Development |
ENGG*6400 |
0.5 |
Philosophy
| Title |
Code |
Credits |
|---|
| Ethics of Data Science |
PHIL*6400 |
0.5 |
Plant Sciences
| Title |
Code |
Credits |
|---|
| Applied Bioinformatics |
PLNT*6500 |
0.5 |
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