Graduates of the Software Engineering program at Universidad de Las Américas are competent, enterprising professionals with an international-global vision. Their education is grounded in software development methodologies, software architectures, and organizational behavior, enabling them to lead and undertake software engineering projects with excellence, innovation, and social responsibility.
Furthermore, graduates identify, formulate, and solve complex problems through the application of software engineering, scientific, and mathematical principles. Additionally, graduates communicate effectively within professional settings and continuously seek knowledge enhancement through appropriate learning strategies. Likewise, graduates perform effectively as members or leaders of software development teams. Graduates recognize their professional and ethical responsibilities, analyze and interpret data, make informed judgments, incorporate emerging computing technologies, implement certified best practices, and apply both technical expertise and comprehensive training to assist organizations achieve their goals across various environments.
Finally, graduates are expected to assume various roles in multidisciplinary teams in both national and international settings. By acting ethically and abiding by the legal framework, graduates contribute to society and stay committed to the country’s 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.