Analysis of an Undergraduate Curriculum using Market Basket Analysis Anna Carolina Finamore 1 , Ana Moura Santos 2 ,Ant´onio Pacheco 3 1 INESC-ID and CEMAT, Instituto Superior T´ ecnico, Universidade de Lisboa, Portugal 2 CEAFEL and Department of Mathematics, Instituto Superior T´ ecnico, Uni- versidade de Lisboa, Portugal 3 CEMAT and Department of Mathematics, Instituto Superior T´ ecnico, Univer- sidade de Lisboa, Portugal E-mail for correspondence: anna.couto@ist.utl.pt Abstract: Motivated by the pursuit of academic excellence, Higher Education Institutions are increasingly using their students data in order to understand and improve their processes, courses, degree curricula, etc. When properly used, the empowerment reached by using data to support the decision-making processes, could provide a competitive advantage facing the international rankings. Market Basket Analysis, a very important data mining technique originated in retail sales analysis, will be applied to the analysis of the mathematics undergraduate degree of Instituto Superior T´ ecnico, Universidade de Lisboa, using as input student curriculum footprints. Keywords: Academic Analytics; Educational Data Mining; Market Basket Ana- lysis. 1 Introduction Constantly motivated by the pursuit of academic excellence and thanks to advances in technology, Higher Education Institutions (HEIs) are ever more committed in to use their educational data as an input to achieve a competitive advantage. Such advantage could be translated through top po- sitioning in international rankings, which projects colleges and universities, the ability to attract better students and faculty, as well as a strong ability to attract funds for research and development. In addition, it will foster This paper was published as a part of the proceedings of the 34th Interna- tional Workshop on Statistical Modelling (IWSM), Guimar˜ aes, Portugal, 7–12 July 2019. The copyright remains with the author(s). Permission to reproduce or extract any parts of this abstract should be requested from the author(s).