Software Engineers from Universidad de Las Américas are competent, entrepreneurial professionals who have solid training in software development, software architecture, and organizational behavior to undertake and lead software engineering projects with a vision of excellence, innovation, and social responsibility.
Graduates will be equipped with the necessary skills to identify, analyze, design, implement, and evaluate solutions to complex engineering problems through the application of software engineering principles, science, and mathematics. In professional settings, they will be able to communicate effectively as members or leaders of a software development team. In addition, they will have the ability to analyze and interpret data, make informed decisions, incorporate cutting-edge technologies, implement certified practices, and apply technical knowledge and integral formation to achieve the organization’s goals.
The Software Engineer is expected to lead diverse multidisciplinary work teams in national and international contexts and to conduct themselves in an ethical, creative, proactive, and responsible manner, always respecting all legal frameworks while being committed to the country’s cybersecurity development process for the benefit of society.
Demographic Data: Program headcount totals the number of students enrolled yearly and a breakdown by men and women. Enrollment by ethnicity presents data on the most representative ethnic groups of the program.
Retention and graduation rates are calculated through the 2020-2021 academic year, based on new, first-time students entering in the fall semester, regardless of whether they enroll in the daytime or evening version of their program (if available). These rates do not consider incoming transfer students. Retention rates are calculated in 1 and 2 years.
Graduation rates are calculated according to each program’s duration length (100%) and within 150% of the normal time for a bachelor’s degree. The percentage of graduates in each cohort by gender considers only actual graduates, not the original makeup of the cohort.
Scholarship information: Information is divided by the type of scholarship granted.
Geographic Data: Presents the composition of the students of the program.
Add'l. Demogr. Data: Includes information on marital status, disability, and first-generation students.
In every semester, the program provides assessment results according to its Multiannual Assessment Plan (MAP), which typically considers one or more of its program learning outcomes (PLOs). Most programs utilize the platform Brightspace to collect and assess student work and to present the data and evidence of student achievement. These results and their analysis, with the objective of identifying areas for improvement, are presented in the program’s annual assessment report. In the graphic below, the most recent period in which a PLO has been assessed is indicated, with the percentage indicating achievement of the expected performance standard for that PLO, according to the rubric used to evaluate the student work. This standard can be designated at an introductory, intermediate, or final level, depending upon how the course learning outcomes (CLOs) align to each PLO in the program’s curriculum map.