Approved DSAAI Electives

  • COMP 5107/CSI 5185 Statistical and Syntactic Pattern Recognition
  • COMP 5112/CSI 5154 Algorithms for Data Science
  • COMP 5116/CSI 5155 Machine Learning
  • COMP 5306/CSI 5100 Data Integration
  • COMP 5340/CSI 5340 Introduction to Deep Learning and Reinforcement Learning**
  • DATA 5002 Data Science, Ethics & Society
  • ITEC 5102 (SYSC 5500) Designing Secure Networking and Computer Systems
  • ITEC 5103 Cloud and Datacentre Networking
  • ITEC 5206 Data Protection and Rights Management
  • ITEC 5207 Data Interaction Techniques
  • MATH 5701 Topics in Partial Differential Equations
  • MATH 5801 Linear Optimization
  • STAT 5504 Stochastic Processes and Time Series Analysis
  • STAT 5509 (MAT 5196) Multivariate Analysis
  • STAT 5602 (MAT 5317) Analysis of Categorical Data
  • STAT 5702 (MAT 5182) Modern Applied and Computational Statistics
  • SYSC 5206 Resource Management on Distributed Systems
  • SYSC 5703 Integrated Database and Cloud Systems
  • SYSC 5807 Advanced Data Visualization
  • Any course from the list “Applications of Artificial Intelligence or Machine Learning”

Applications of Artificial Intelligence or Machine Learning

  • COMP 5101/CSI 5311 Distributed Databases and Transaction Processing Systems**
  • COMP 5111/CSI 5153 Data Management for Business Intelligence
  • COMP 5113/CSI 5350 Machine Learning for Healthcare
  • COMP 5117/CSI 5346 Mining Software Repositories
  • COMP 5118/CSI 5347 Trends in Big Data Management
  • COMP 5209/CSI 5135 Visual Analytics
  • COMP 5341/CSI 5341 Learning-based Computer Vision**
  • COMP 5505/CSI 5386 Natural Language Processing**
  • COMP 5704/CSI 5131 Parallel Algorithms and Applications in Data Science
  • COMP 5801 Topics in Machine Learning (offered at Carleton’s campus only)
  • ITEC 5205 Design and Development of Data-intensive Applications
  • STAT 5705 (MAT 5373) Statistical Machine Learning
  • STAT 5713 Advanced Data Mining
  • STAT 5505 Design of Experiments
  • SYSC 5103 Software Agents
  • SYSC 5405 Pattern Classification and Experiment Design

Please note: Not all courses are offered every year. Please consult the Public Class Schedule.

COMP Courses with ** are offered at uOttawa. DSAAI students looking to take a COMP course at uOttawa must do so via the uOttawa Exchange Program using the following form. Once the form is completed email it to DSAAI@carleton.ca. Please note that final approval to take courses at uOttawa is dependent on approval from Graduate Studies and uOttawa. A submitted request does not mean guaranteed approval.

If you receive a registration error message during registration, please get in touch with the respective unit or submit a registration override request:

Permission for Credit

DSAAI students wishing to enroll in a course that is not on the approved DSAAI Elective Courses list (as specified above) must submit the Permission for Credit form to request pre-approval to have an alternate elective course count towards their degree.