Personalised learning (PL), which caters to the needs of diverse students to support learning variability, has gained significant attention in education. Simultaneously, the Universal Design for Learning (UDL) framework has emerged as a potential platform for anchoring PL development. However, limited research has examined PL within the UDL framework in higher education contexts, particularly the potential of artificial intelligence to support students’ PL within this framework. This chapter investigates the effectiveness of ChatGPT in supporting PL experiences within the UDL framework in higher education contexts. In this learning experience, participants were encouraged to use ChatGPT with a provided instruction prompt with selected UDL checkpoints according to their needs. A qualitative method, involving in-depth semi-structured interviews with eight data science students from a university in Hong Kong, was employed. The findings indicate that ChatGPT effectively provides Personalised feedback, demonstrates creative problem-solving skills, and addresses real-world applications. However, students reported unfamiliarity with the UDL framework for generating instruction prompts, and learning activity prompts generated occasionally failed to align with UDL checkpoints. To address these limitations, relevant support should be offered to learners on effectively using ChatGPT within the UDL framework.