DATA553

This experiential learning course is designed to support early-career students as they apply foundational data science knowledge in a real-world internship setting. Through a combination of hands-on professional experience and guided academic reflection, students will deepen their understanding of data science practices while developing critical workplace competencies. The course emphasizes career readiness, self-directed learning, and professional growth, encouraging students to identify, pursue, and refine personal and career development objectives using the SMART goals framework (Specific, Measurable, Achievable, Relevant, Time-bound). Students will engage in reflective assignments, peer discussions, and one-on-one coaching to make meaning of their experiences, strengthen their professional identities, and enhance their communication, collaboration, and problem-solving skills.

School of Computing and Information Sciences

All Years