Universidad Adolfo Ibáñez

Programme overview

The Master in Business Analytics is a professional, in-person programme delivered at UAI’s Peñalolén campus (Diagonal las Torres 2700, Santiago). The published programme dates run from 2 March 2026 to 13 December 2027. The course emphasis is applied analytics: converting data into organisational value using frontier technologies such as machine learning and artificial intelligence. The page lists a programme price of UF 290 and an application fee of UF 1; the final amount is calculated according to the daily value of the UF and the dollar.

What you'll study

The curriculum is organised by bimesters across two academic years with a mix of programming, statistical and applied business modules:

• Bimestre 1: Programming I (Python) and Database Systems I
• Bimestre 2: Programming II (R) and Database Systems II
• Bimestre 3: Descriptive Analysis, Machine Learning, Managing Databases on External Servers, and Computational Statistics
• Bimestre 4: Marketing Analytics, Introduction to Deep Learning, Computational Finance, and Industrial Organization
• Bimestre 5: Analytics and E‑commerce, Deep Learning, Time Series, and Data Analysis Case Studies
• Bimestre 6: Three Business Analytics elective slots (I, II, III)
• Bimestres 7–8: Practical graduation activity (actividad práctica de graduación)

Learning goals explicitly include applying modern machine learning and AI techniques, understanding and preparing relevant data types, using methods from industrial organisation, marketing, e‑commerce and HR, modelling and prediction, and optimising processes from analytic outputs.

Entry requirements

Applicants must hold a licenciatura or equivalent from a recognised university, have a maximum of three years of work experience, and possess reading-level English. Required application materials include degree(s) and academic transcript (concentración de notas with all courses), details of additional maths and programming coursework, CV, two letters of recommendation, and an English certificate if available. The process includes an online personal interview; UAI undergraduates have a separate contact route.

Career prospects

The programme targets young professionals seeking to lead digital transformation and data-driven decision processes. Graduates are prepared for strategic or management roles in organisations that prioritise evidence-based decision making, applying analytics, machine learning and AI across industries such as marketing, finance, e‑commerce and operations.

Scholarships & funding angle (general)

UAI publishes payment options including instalments via PAC or PAT, payment by invoice or sponsor letter, and international payment channels (Flywire and PayPal). The programme page notes up to 12 interest-free monthly installments with credit cards, and a 3% discount for full payment before programme start. Prospective applicants should contact the admissions office to discuss specific scholarships, discounts or financing arrangements.