Bachelor of Science in Information Technology (Laguna)

Degree Codes: BSIT,BSIT Total Academic Units: 1 Total Non-Academic Units: 1 Total Units Leading to a Minor: 1
Program Overview

The Bachelor of Science in Data Science is a four-year interdisciplinary program designed to develop foundational skills in computing, data engineering, data governance, artificial intelligence, and ethical practices. It aims to train undergraduates to understand effective and ethical ways of using vast amounts of data, and to develop foundational techniques for data analysis and decision-making. The curriculum covers statistics, computing, visualization, and ethical governance, and incorporates hands-on experience through various projects. Additionally, the program integrates students’ selection of concentration areas through professional electives and a required minor, training them as multidisciplinary professionals and preparing them for data science roles or further studies, which addresses the growing demand for data-literate professionals in the Philippines and globally.

Program Learning Outcomes
Job Opportunities
Program Requirements
Program Learning Outcomes
Upon completion, graduates will be equipped to:

Apply foundational methodologies for data collection, organization, and analysis to support organizational decision-making.
Extract insights ethically, addressing issues like bias and privacy in diverse domains.
Develop practical skills with industry tools (e.g., Python, R, Tableau) through real-world applications.
Communicate data-driven findings to technical and non-technical audiences.
Job Opportunities
Graduates of the program can explore various roles in data science. Some of the common roles available in the field are:

Data Engineer
Data Scientist
Machine Learning/AI Engineer
Business Intelligence Developer
Data Steward
Data Storyteller
Data Governance Officer
Program Requirements
Total of 187 units: 178 academic units and 9 non-academic units
General Education: 45 units
Computing Courses: 21 units
Mathematics and Statistics: 14 units of Math, 12 units of Statistics
Data Science and Professional Courses: 45 units
Specialization: 12 units of Professional Electives, 12 units of Required Minor
Practicum: 3 units, designed to provide real-world work experience
Thesis: 6 units, meant to showcase mastery by solving a complex problem or conducting independent research
PE: 8 units
Non-academic, including Lasallian Studies: 9 units