This paper presents a scoping review of literature on using generative artificial intelligence (GenAI) in computer science (CS) education at the higher education (HE) level. This review’s primary research question is: “How is GenAI utilized in the teaching and learning of CS in HE?” A total of 890 articles were initially identified following a protocol based on PRISMA guidelines. After the selection screening, 38 articles were included for quantitative and qualitative analysis. Students mainly use GenAI to assist with programming tasks. However, there is a lack of research for developing effective pedagogical strategies to fully integrate GenAI into CS education. While opinions on its effectiveness in HE are mixed, students’ growing enthusiasm for GenAI stresses the critical need for research on pedagogical approaches to effectively handle its integration and facilitate the current educational paradigm shift. This shift calls for proactive pedagogical strategies and research to adapt teaching methods to an AI-driven context. Strategic GenAI use and regulation will equip new CS learners to thrive in the evolving tech landscape.