Graduates of the Master’s Program in Business Intelligence and Data Analytics at Universidad de Las Américas are highly competent, enterprising professionals with an international-global vision in the field of data analytics. Graduates are equipped to support decision-making processes and achieve business goals by implementing methodologies, tools, and technologies for the analysis, processing, and strategic management of data and Big Data.
Furthermore, graduates integrate knowledge in business innovation, information management, and data analysis to design effective business strategies. Graduates utilize technologies, data architectures, analytical processes, and methodological frameworks to collect, store, and process data, enabling informed managerial decision-making. Likewise, graduates demonstrate theoretical and technical competencies in utilizing business data and its applications within a framework of innovation and competitiveness. In fact, graduates implement technologies and evaluate data analysis models for organizations based on the effective management of technological and human resources.
Ultimately, graduates are expected to lead multidisciplinary teams in both national and international contexts, demonstrating ethics, creativity, proactivity, and responsibility. Graduates operate in accordance with current legal frameworks, contribute to society, and are committed to fostering business innovation and supporting the country's economic development.
Demographic Data - provides information about student enrollment disaggregated by gender and ethnicity, offering insight into the demographic diversity within the program.
Student Completion - provides information about graduation rates and graduation rates disaggregated by gender calculated through the 2021–2022 academic year, based on cohorts of new, first-time students, regardless of enrollment in the program's daytime or evening instructional delivery (if applicable).
All programs utilize the Brightspace platform to collect and assess student work and to compile data and evidence of student achievement. The resulting outcomes and their analysis, which focus on identifying areas for improvement, are presented in the program’s assessment report. In the graphic below, the most recent assessment period for each Program Learning Outcome (PLO) is indicated, along with the percentage representing the level of achievement of the expected performance standard for that PLO, based on the rubric used to evaluate student work.
Note: Multiple descriptions per PLO code reflect updates over time. All versions are shown to support historical and comparative analysis.