CMO No. 42, s. 2017 (New Policies, Standards, and Guidelines for BS Statistics program),
CMO No. 20, s. 2013 (New General Education Curriculum), and
CMO No. 57, s. 2017 (Policy on offering Filipino and Panitikan Subjects)
engaged in generating data,
accumulating large amount of data,
using these in data in decision-making, or
to produce Professional Statisticians with strong knowledge and skills in data science
Produce Graduates who can postulate real-life problems;
Produce Graduates who can collect data, aggregate data, analyze data using computing technologies, interpret results and communicate results to different stakeholders towards the solution of real-life problems based on statistically sound methods/techniques;
Equip students with quantitative skills and methods that they can employ and build on in flexible ways; and
Prepare students for graduate work in statistics and/or allied fields
articulate the latest developments in their specific fields of practice (PQF level 6 descriptor);
effectively communicate orally in writing using both English and Filipino languages;
work effectively and independently in multi-disciplinary and multi-cultural teams (PQF level 6 descriptor);
demonstrate professional, social, and ethical responsibility, especially in practicing intellectual property rights and sustainable development;
preserve and promote “Filipino historical and cultural heritage” (based on RA 7722);
demonstrate broad and coherent knowledge and understanding in the core areas of statistical theory and statistical modeling;
apply critical and problem solving skills using scientific method;
interpret scientific data and make judgments that include reflection on relevant scientific and ethical issues;
carry out basic mathematical statistical computations and use appropriate technologies in the analysis of data;
communicate information, ideas, problems, and solutions, both orally and writing, to other scientists, decision-makers, and the public;
relate science and mathematics to the other disciplines;
design and perform safe and responsible techniques and procedures in laboratory or field practices;
critically evaluate inputs from others; appreciate the limitations and implications of science in everyday life;
commit to the integrity of data;
demonstrate broad and coherent knowledge and understanding in the core areas of statistics, computing, and mathematics;
translate real-life problems into statistical problems;
generates information involving the conceptualization of a strategy for generating timely and accurate/reliable data, organizing a process for putting together or computing the needed data, and transforming available data into relevant and useful forms; and
identify appropriate statistical tests and methods and use these properly for the given problems, select optimal solutions to problems, and make decisions in the face of uncertainty.