AI can efficiently analyse vast amounts of educational data, including current academic research, industry trends, and job market demands ensuring courses offered are relevant, up-to-date, and of high quality.

AI algorithms can review and suggest improvements to existing courses, identifying gaps or redundancies in the curriculum and recommending changes to optimise the learning journey. A well-managed curriculum can lead to higher student satisfaction as it ensures courses are well-structured, relevant, and aligned with students' career goals.

Universities need to respond quickly to changes in technology, industry demands, and educational trends. Effective use of AI in curriculum management allows for quick and efficient updates to courses and programmes.

Properly implemented AI tools can help teaching staff reduce their administrative burden allowing them to concentrate on teaching and research activities.

Institutions adopting AI tools in curriculum management can derive a competitive advantage in attracting students, especially in fields where the latest knowledge and skills are crucial.

AI tools built into institutional work-flows will enable efficient and effective mechanisms for feedback from students and staff, leading to continuous improvement of the curriculum.

AI solutions can monitor, maintain and analyse trends in curriculum development ensuring institutions remain locally, nationally and internationally aware and competitive.

AI can analyse large volumes of educational data, industry trends, and job market requirements at a fraction of the cost and time compared to manual analysis, identifying the most relevant and in-demand topics for new curricula, in addition, AI can predict student enrolment trends and course popularity. Together, this allows universities to focus resources on developing curricula that are more likely to attract students, reducing the risk of investing in low-demand courses while freeing up academic staff time to concentrate on teaching and research.