Large Language Models (LLMs) are complicated artificial intelligence that are being used more in educational settings. Applying them into colleges and universities, particularly in mathematics-related fields, seems to be a good way to help students learn and get engaged. The objective of this study is to investigate undergraduate students' perceptions of the efficacy of LLMs in facilitating the understanding of mathematical concepts at selected universities in Malaysia. A quantitative survey design was used, involving undergraduate students enrolling in mathematics courses at various Malaysian higher education institutions. Data were gathered using structured questionnaires and processed employing descriptive and inferential statistical techniques. The results show that using LLMs has a big positive impact on how confident, motivated, and knowledgeable students are in math's. Respondents said that LLMs help them grasp abstract math issues better by giving them simple explanations, detailed problem-solving techniques, and specific feedback. Also, the fact that AI-generated help is there and easy to get to encourage students to study independently and makes them feel more comfortable in solving arithmetic problems. The study finds that LLMs are beneficial digital learning tools that help students learn more about math ideas at Malaysian institutions by centred on the students themselves.