Bachelor of Science in Data Science (BSDS) is an interdisciplinary program that is designed to equip its graduates with integrated skill sets spanning mathematics, statistics, machine learning, databases and other branches of computer science with the aim of extracting new knowledge from data in various forms in order to provide actionable insights for decision makers in data-driven industries and sectors. In this era of big data and digitization, the BSDS program is primarily instigated to address the sustained, ever increasing, demand for data scientists, data-driven thinkers, and business analysts.

Upon completion of the BS Data Science program, graduates are able to:
a. Apply knowledge of computing science, and mathematics, and business management in solving complex data-driven problems;
b. Use current standards and best practices within data-science and specific areas of mathematics (e.g. statistical analysis, optimization, machine learning, network analysis, experiment design, and algorithms, among others.) in solving complex data-driven problems and requirements;
c. Analyze complex data-driven problems by applying analytical and quantitative reasoning; and identify the statistical and computing requirements appropriate to its solution;
d. Extract, process and analyze data sets, including Big Datasets too large for traditional data processing techniques;
e. Design, implement and evaluate different predictive models, techniques, processes, components, or programs to meet desired needs and requirements under various constraints;
f. Integrate effectively the big data analytics solutions into government sectors such as transportation, public health and safety, environmental issues as well as issues in the corporate and non-profit organizations;
g. Create, select, adapt and apply appropriate techniques, resources, mathematical or statistical models, machine/deep learning and other modern tools to complex data science activities;
h. Utilize data science and its technologies as strategies in marketing/branding of potential entrepreneurial ventures;
i. Function effectively as individual or work collaboratively and respectfully as a member or leader in diverse development teams and in multi-cultural and multi-disciplinary settings;
j. Communicate effectively in both oral and in written form by being able to deliver and comprehend instructions clearly; and present persuasively to diverse audience the data science-related ideas and perspectives;
k. Assess the model used to solve data science tasks and identify its local and global impact on individuals, organizations, and society;
l. Recognize the need to engage in independent learning and be at pace with the latest development in a specialized Data Science field, with emphasis on Massive Data Analytics and Business Intelligence for continual development as a computing professional;
m. Participate in generation of new knowledge, or in research and development projects with the end view of contributing to local and national economy; and
n. Preserve and promote “Filipino historical and cultural heritage”.
  • Data Scientist
  • Data Engineer
  • Data Analyst
  • Database Administrator
  • Statistician
  • Functional Analyst
  • Business Analyst
  • Predictive Modeler
  • Data Architect
  • Data Governance Specialist
  • Data Visualization Specialist
  • Computational Scientist
  • Data Analyst for Medical/Pharmaceutical Firms
  • Market Analyst