Graduates of the Cybersecurity Engineering program at Universidad de Las Américas are competent and entrepreneurial professionals with a global vision. Equipped with strong technical and business skills, graduates effectively contribute to problem-solving, analysis, and project management activities essential for implementing cybersecurity solutions. This expertise enables them to lead and develop projects with a focus on excellence, globalization, and social commitment.
Furthermore, graduates identify, analyze, design, implement, and evaluate solutions for protecting an organization's information assets by applying best practices, methodologies, and cybersecurity and computing standards. Graduates communicate cybersecurity proposals effectively, offering solutions to organizational needs while incorporating governance and management practices to facilitate the adoption of emerging technologies. Additionally, graduates generate value within organizations by leveraging expertise in teamwork, leadership, data analysis, and engineering judgment. Graduates apply acquired knowledge and diverse learning strategies to self-regulate and continuously develop their expertise.
Finally, graduates are expected to assume diverse roles within multidisciplinary teams in both national and international contexts. By applying technical expertise and comprehensive training in a resilient manner, graduates uphold ethical standards, respect the current legal framework, and remain committed to societal well-being and national 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 retention and graduation rates calculated through the 2021–2022 academic year, based on cohorts of new, first-time students entering the program in the fall semester, regardless of enrollment in the daytime or evening instructional delivery (if applicable). These calculations exclude incoming transfer students. Specifically, retention rates are reported at one-year and two-year intervals.
In addition, graduation rates are calculated according to each program’s duration length (100%) and within 150% of the normal time for a bachelor’s degree. Gender-based graduation data reflects only the distribution of actual graduates within each cohort and does not consider the original gender composition of the entering group.
Scholarship Information - provides information about student financial support, with data disaggregated by the type of scholarship awarded.
Geographic Data - provides information about the geographic composition of students enrolled in the program, based on place of origin.
Additional Demographic Data - provides information about students’ marital status, disability status, and first-generation college attendance.
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.