Graduates of the Electronics and Automation Engineering program at Universidad de Las Américas are competent professionals with solid knowledge of state-of-the-art technologies who apply norms, regulations, and national and international standards, capable of innovating, undertaking, and managing projects in the fields of electronics and automation.
Furthermore, graduates solve complex engineering problems by applying the knowledge and skills inherent to their program. Additionally, graduates design and develop automation projects considering well-being, safety, and public health aspects, as well as economic, environmental, social, and global factors. Graduates are responsible and ethical, they communicate effectively their criteria and work collaboratively and inclusively with multidisciplinary teams. In addition, graduates develop, analyze, and interpret data in an appropriate manner, which allows them to acquire and apply knowledge to increase productivity, improve quality, and reduce costs in production and service companies.
Finally, graduates are expected to lead multidisciplinary work teams, in national and international contexts, applying their technical knowledge, conducting themselves in an ethical, creative, proactive, and responsible manner, always respecting all legal frameworks while being committed to the country’s development for the benefit of society.
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.