Program Related Skills
Academic courses in this program provide opportunities to develop both transferable and specific skillsets. Check out MyCareerCentre to learn more on how to articulate skills you’ve developed in your program to employers and/or academic admissions committees.
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Computer Science graduates develop a variety of skills well-equipped for various industries and further education programs, including, but not limited to:
- Adaptability: Adjust approaches in response to new or changing information and circumstances such as shifting deadlines, resource availability, rapidly advancing technologies, or evolving project goals.
- Communication: Effectively explain complex technical concepts and terminology to both technical and general audiences through written reports, data visualizations (e.g., graphs, charts), presentations, and professional communication platforms (e.g., email, collaborative digital tools).
- Data Management & Computational Literacy: Use computational tools and techniques to manage, process, and analyze data, while demonstrating awareness of data integrity, privacy, and responsible data use.
- Data Structures & Algorithms: Apply fundamental data structures and algorithms to organize data efficiently, improve performance, and support scalable computational solutions.
- Ethical & Responsible Computing: Awareness of ethical considerations in computing, including fairness, privacy, security, and societal impacts of computational technologies.
- Problem Solving: Develop innovative solutions by evaluating, analyzing and modeling complex problems, taking various perspectives, constraints, and limitations into consideration.
- Programming Skills: Demonstrate foundational proficiency in one or more programming languages, including the ability to write, debug, test, and document computer programs.
- Research & Inquiry: Analyze and evaluate information using computational tools and methodologies in computer science to develop and communicate knowledge in specific areas of interest.
- Software Design & Code Quality: Apply principles of software design, modularity, readability, and testing to develop maintainable and reliable codebases.
- Systems & Computational Thinking: Understand how software, hardware, and data interact within computational systems, and apply abstraction and systems‑level thinking to analyze and solve complex problems.