Course overview
This course aims to enhance students' capabilities in leading teams and managing cybersecurity risks in data-driven projects. Through the integration of leadership theory, team dynamics, and cybersecurity principles, students will develop strategic decision-making skills necessary for leading diverse teams in complex and technologically advanced environments. By the end of the course, students will be proficient in applying leadership and cybersecurity best practices to ensure the success and security of data science initiatives.
Course learning outcomes
- Apply leadership theories and practices to effectively lead and manage diverse teams in data science projects
- Develop and implement effective communication strategies to facilitate collaboration and decision-making within data-driven teams, with an emphasis on cultural sensitivity and respect for diverse practices, including those of Aboriginal and Torres Strait Islander people
- Integrate cybersecurity principles into project management practices, ensuring data protection and risk management are prioritised in data science projects
- Evaluate the ethical implications of leadership decisions and cybersecurity strategies, applying ethical frameworks to guide professional conduct
- Utilise project management tools and techniques to plan, execute, and deliver data science projects that meet organisational goals whilst ensuring team alignment
- Reflect on personal leadership development, demonstrating the ability to adapt and apply leadership, team management, and cybersecurity knowledge in professional settings