Data Analysis for Complex Systems (Gr. Cert.) (15 credits)
Offered by: Technology & Innovation
Program credit weight: 15
Program Description
The 15-credit Graduate Certificate in Data Analysis for Complex Systems is designed to equip learners who do not necessarily have a technical background with the fundamentals of complex systems. The program focusses on applying data analysis techniques to better understand different phenomena in fields such as financial technology, organizational management, or digital marketing. The program is offered online with synchronous course activities.
Note: For information about Fall 2025 and Winter 2026 course offerings, please refer to Visual Schedule Builder. A technical issue is causing the "Terms offered" field to incorrectly report "this course is not currently offered" for many courses in the Course Catalogue.
Required Courses (9 credits)
| Course | Title | Credits |
|---|---|---|
| CCCS 610 | Digital Thinking for Data Analysis. | 3 |
Digital Thinking for Data Analysis. Terms offered: this course is not currently offered. Examination of programmable tools for data analysis. Application methods to implement fundamental algorithms making use of data structures. | ||
| CCCS 620 | Data Analysis and Modelling . | 3 |
Data Analysis and Modelling . Terms offered: Summer 2025 Analysis of fundamental concepts and techniques for data analysis and modelling; basic mathematical and computational concepts needed for data analysis. Application of programmable tools to real-world examples. | ||
| CCCS 630 | Complex Systems. | 3 |
Complex Systems. Terms offered: this course is not currently offered. Tools and techniques for modelling and simulating diverse complex systems; network analysis with applications in social, biological, and infrastructure networks; and chaotic systems. | ||
Complementary Courses (6 credits)
6 credits selected from:
| Course | Title | Credits |
|---|---|---|
| CCCS 670 | Information Visualization. | 3 |
Information Visualization. Terms offered: Summer 2025 Examination of the application of computational and mathematical concepts, tools, and techniques to visualize quantitative multi-dimensional information. Qualitative information in static, animated, and interactive digital formats. Guidelines and best practices from cognitive psychology, UX, and graphic design, including dashboard tools and storytelling methods. | ||
| CCCS 680 | Scalable Data Analysis. | 3 |
Scalable Data Analysis. Terms offered: this course is not currently offered. Concepts, tools, and metrics related to scaling up data analysis to handle massive amounts of data. Examination of methods for enabling technologies and applications such as big data and cloud computing. | ||
| CCCS 690 | Applied Computational Research. | 3 |
Applied Computational Research. Terms offered: this course is not currently offered. Analysis of a real-world case study of choice. Examination of version-controlled repositories and project management tools for tracking the tasks. Identification, formulation, and application of data-driven projects in areas of interest. | ||
Or another 600-level course offered by the School of Continuing Studies and approved by the academic unit.