A full-time academic master's that trains students to apply advanced statistical, computational and data-management techniques and to carry out original research in data science. It is aimed at graduates in engineering, economics, mathematics, statistics or related degrees who want both rigorous methodological grounding and research capability.
The curriculum spans two academic years and centres on coursework in the first year followed by thesis development in the second year.
Primary applicants hold a licentiate (Licenciatura) in engineering sciences or a professional degree equivalent; desirable background includes programming and database knowledge and reading-level English. UAI undergraduates who have completed their licenciatura are eligible; in exceptional cases applicants with two pending undergraduate courses may be admitted but cannot take Seminario I until the licenciatura is granted. The application process requests CV, identification, motivation letter, two recommendation letters, academic degree, academic transcript (including all courses), and ranking of graduation; a certificate of English level if available. Admissions weighting: 20% academic record, 10% English level, 10% CV, 30% interview, 20% references, 10% motivation letter; a personal interview is required.
Graduates are prepared to evaluate and apply state-of-the-art models and technologies in data science, integrate computer science, statistics and mathematics to build multidisciplinary solutions, and undertake research that can be communicated in scientific or applied settings. They are positioned to work in public sector, private companies or research environments where advanced data-driven decision making and methodological development are needed.
The Faculty may propose tuition reductions of up to 90% for external applicants with outstanding academic credentials; a maintenance scholarship is also awarded annually to the top selected applicant. Final decisions are made by the Faculty and the Academic Committee according to the cohort.
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