Degree Codes: BSMGT-BASrnTotal Academic Units: 182rnTotal Non-Academic Units: 9rnrnu0026nbsp;rnrnThe u003cstrongu003eBachelor of Science in Business Management with Specialization in Business Analytics (MGT-BAS)u003c/strongu003e is designed to respond to the growing demand for analytics-driven, ethical, and evidence-based management in an increasingly complex, competitive, and digitally enabled business environment. Contemporary organizations operate amid rapid technological advancements, evolving global partnerships, and heightened expectations for accountability and sustainability. In this context, managers are required not only to master technical and functional business skills but also to understand management as a holistic and integrated system that strategically leverages data, technology, and human judgment for informed decision-making.rnrnu0026nbsp;rnrnThe program aims to develop graduates who can transform data into meaningful insights that support organizational performance, innovation, and long-term sustainability. Grounded in Lasallian values, the MGT-BAS program cultivates critically minded, technologically adept, and socially responsible leaders who are capable of executing fundamental management functions while navigating complex business challenges with agility and ethical discernment. Through a strong foundation in business disciplines, analytics, communication, and leadership, the program prepares competent managers, consultants, and analysts committed to excellence, integrity, faith, and service to the common good in both local and global business contexts.
u003colu003ern tu003cliu003eu003cstrongu003eBasic, fundamental, and foundational business skills across functional areasu003c/strongu003ernGraduates will demonstrate a comprehensive understanding and application of essential business skills across functional areas (e.g., accounting, analytics and information technology, commercial law, finance, human resources, and/or marketing).u003c/liu003ern tu003cliu003eu003cstrongu003eEthical and compliantu003c/strongu003ernGraduates will exhibit a strong commitment to ethical decision-making and/or adherence to legal or regulatory requirements in business contexts, recognizing their responsibility to stakeholders and society at large.u003c/liu003ern tu003cliu003eu003cstrongu003eLasallian business leadership (humanistic and sustainability-oriented for the common good)u003c/strongu003ernGraduates will exemplify the principles of Lasallian business leadership, emphasizing humanistic values, social responsibility, and sustainable practices to promote the common good for all.u003c/liu003ern tu003cliu003eu003cstrongu003eInnovative and technologically adeptu003c/strongu003ernGraduates will possess the ability to leverage innovative thinking and cutting-edge technology to identify and solve complex business challenges, remaining agile and adaptive in an ever-evolving global marketplace.u003c/liu003ern tu003cliu003eu003cstrongu003eCommunication (English and Filipino)u003c/strongu003ernGraduates will effectively articulate and discuss the latest developments within the specific field of practice, and proficiently communicate, in English and in Filipino, the company’s or its functional areas’ situations to stakeholders through both oral and written forms.u003c/liu003ern tu003cliu003eu003cstrongu003eCritical, analytical, and creative problem-solving using ICTu003c/strongu003ernGraduates will critically, analytically, and creatively solve problems and drive results using appropriate decision tools, while effectively and efficiently utilizing information and communication technology.u003c/liu003ern tu003cliu003eu003cstrongu003eTeamwork, independence, and values reflectionu003c/strongu003ernGraduates will work effectively and independently within multidisciplinary and multicultural teams, while clarifying and reflecting on personal values in relation to organizational culture, including considerations of faith and business practices.u003c/liu003ern tu003cliu003eu003cstrongu003eExecution of management functionsu003c/strongu003ernGraduates will execute the fundamental management functions, including planning, organizing, staffing, directing, and controlling.u003c/liu003ern tu003cliu003eu003cstrongu003eStrategic planning and executionu003c/strongu003ernGraduates will strategically plan and execute business-related activities.u003c/liu003ern tu003cliu003eu003cstrongu003eBusiness intelligence and analytics applicationu003c/strongu003ernGraduates will exhibit a thorough understanding of business intelligence by applying various analytical modeling techniques, understanding departmental functions and data access constraints, and utilizing analytics tools to support business functions.u003c/liu003ern tu003cliu003eu003cstrongu003eData management and communication of insightsu003c/strongu003ernGraduates will demonstrate a strong grasp of fundamental data management principles and actively engage in business discussions to effectively communicate data analysis findings to organizational stakeholders.u003c/liu003ernu003c/olu003e
u003cdiv class=u0022table-blocku0022u003ernu003cdiv class=u0022table-containeru0022u003ernu003cdiv class=u0022table-wrapperu0022u003ernu003ctable class=u0022custom-tableu0022u003ernu003ctheadu003ernu003ctru003ernu003ctd style=u0022padding: 10px 15px;u0022u003eu003cbu003eCourse Requirementsu003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022u003eu003cbu003eTotalu003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u00227%u0022u003eu003cbu003eT1u003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u00227%u0022u003eu003cbu003eT2u003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u00227%u0022u003eu003cbu003eT3u003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u00227%u0022u003eu003cbu003eT4u003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u00227%u0022u003eu003cbu003eT5u003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u00227%u0022u003eu003cbu003eT6u003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u00227%u0022u003eu003cbu003eT7u003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u00227%u0022u003eu003cbu003eT8u003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u00227%u0022u003eu003cbu003eT9u003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u00227%u0022u003eu003cbu003eT10u003c/bu003eu003c/tdu003ernu003c/tru003ernu003c/theadu003ernu003ctbodyu003ernu003ctru003ernu003ctdu003eFoundationu003c/tdu003ernu003ctdu003e15 unitsu003c/tdu003ernu003ctdu003e15u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eNLCC (Academic)u003c/tdu003ernu003ctdu003e8 unitsu003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e2u003c/tdu003ernu003ctdu003e2u003c/tdu003ernu003ctdu003e2u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e2u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eNLCC (Non-academic)u003c/tdu003ernu003ctdu003e(9) unitsu003c/tdu003ernu003ctdu003e(1)u003c/tdu003ernu003ctdu003e(3)u003c/tdu003ernu003ctdu003e(3)u003c/tdu003ernu003ctdu003e(1)u003c/tdu003ernu003ctdu003e0u003c/tdu003ernu003ctdu003e0u003c/tdu003ernu003ctdu003e0u003c/tdu003ernu003ctdu003e0u003c/tdu003ernu003ctdu003e(1)u003c/tdu003ernu003ctdu003e0u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eCHED COREu003c/tdu003ernu003ctdu003e45 unitsu003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e6u003c/tdu003ernu003ctdu003e9u003c/tdu003ernu003ctdu003e6u003c/tdu003ernu003ctdu003e3u003c/tdu003ernu003ctdu003e3u003c/tdu003ernu003ctdu003e9u003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e6u003c/tdu003ernu003ctdu003e3u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eBUSINESS COREu003c/tdu003ernu003ctdu003e72 unitsu003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e9u003c/tdu003ernu003ctdu003e9u003c/tdu003ernu003ctdu003e6u003c/tdu003ernu003ctdu003e9u003c/tdu003ernu003ctdu003e12u003c/tdu003ernu003ctdu003e6u003c/tdu003ernu003ctdu003e9u003c/tdu003ernu003ctdu003e3u003c/tdu003ernu003ctdu003e9u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eANALYTICSu003c/tdu003ernu003ctdu003e48 unitsu003c/tdu003ernu003ctdu003e–u003c/tdu003ernu003ctdu003e3u003c/tdu003ernu003ctdu003e3u003c/tdu003ernu003ctdu003e6u003c/tdu003ernu003ctdu003e6u003c/tdu003ernu003ctdu003e3u003c/tdu003ernu003ctdu003e6u003c/tdu003ernu003ctdu003e6u003c/tdu003ernu003ctdu003e6u003c/tdu003ernu003ctdu003e3u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eu003cbu003eTOTAL per termu003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e182 (9) unitsu003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e15 (1)u003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e18 (3)u003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e21 (3)u003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e20 (1)u003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e20u003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e20u003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e21u003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e15u003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e17 (1)u003c/bu003eu003c/tdu003ernu003ctdu003eu003cbu003e15u003c/bu003eu003c/tdu003ernu003c/tru003ernu003c/tbodyu003ernu003c/tableu003ernu003c/divu003ernu003c/divu003ernu003c/divu003e
The MGT-BAS program is designed with a progressive learning pathway that enables students to move systematically from foundational business knowledge to advanced analytics application and integrative practice. The structure ensures increasing cognitive complexity, practical exposure, and alignment with the program learning outcomes.rnrnu0026nbsp;rnrnu003cstrongu003eFoundation (Year 1)u003c/strongu003ernrnStudents build essential business and quantitative foundations through courses such as Business Mathematics and Finance, Fundamentals of Accountancy, Principles of Marketing, and Organization and Management, developing the analytical mindset required for data-driven decision-making.rnrnu0026nbsp;rnrnu003cstrongu003eAnalytics Foundations (Year 2)u003c/strongu003ernrnStudents acquire core analytics competencies through Fundamentals of Business Analytics, Data Warehousing, and Descriptive Analytics, focusing on data literacy, data management, and the use of analytics to support managerial decisions.rnrnu0026nbsp;rnrnu003cstrongu003eAdvanced Analytics (Year 3)u003c/strongu003ernrnLearning progresses to higher-level analytics and systems thinking through Predictive and Prescriptive Analytics, Systems Analysis and Design, and Operations and Technology Management, enabling students to model, analyze, and solve complex business problems using data.rnrnu0026nbsp;rnrnu003cstrongu003eApplication and Integration (Year 4)rnu003c/strongu003ernrnStudents synthesize learning through Analytics Internship, Thesis 1 (Proposal Development), and Thesis 2 (Results and Strategy), where they apply analytics tools to real organizational contexts, conduct data-driven research, and generate actionable managerial insights.
u003cdiv class=u0022table-blocku0022u003ernu003cdiv class=u0022table-containeru0022u003ernu003cdiv class=u0022table-wrapperu0022u003ernu003ctable class=u0022custom-tableu0022u003ernu003ctheadu003ernu003ctru003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u0022150u0022u003eu003cbu003eCourse Codeu003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u0022300u0022u003eu003cbu003eCourse Titleu003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022u003eu003cbu003eBrief Descriptionu003c/bu003eu003c/tdu003ernu003c/tru003ernu003c/theadu003ernu003ctbodyu003ernu003ctru003ernu003ctdu003eBAFBANAu003c/tdu003ernu003ctdu003eFundamentals of Business Analyticsu003c/tdu003ernu003ctdu003eThis undergraduate course introduces students to the foundational concepts and techniques of business analytics, emphasizing the power and importance of data visualization. In the modern digital age, businesses and organizations are inundated with vast amounts of data. The ability to visually represent this data in a meaningful and insightful manner is crucial for informed decision-making. This course aims to equip students with the knowledge and tools necessary to create compelling visual representations of data, allowing for clearer understanding and communication of complex information. By the end of the course, students will have a comprehensive understanding of the role of data visualization within business analytics and will be adept at using visualization tools and techniques to convey data- driven insights effectively.u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eBAFWAREu003c/tdu003ernu003ctdu003eFundamentals of Data Warehousingu003c/tdu003ernu003ctdu003eThis course introduces how information system are utilized as a decision support system. This course will help the students make sense of the data by applying the knowledge in data warehousing and business intelligence. As an introduction, the students will be given a refresher to some practical office applications of Excel. The students will then be introduced to the concept of database technology and database design using MS Access where theories in relation to normalization, entity-relationship-diagram (ERD) will be covered. Concepts on queries and reports will also be introduced. On the other hand, Power BI will be used to better appreciate data warehousing and business intelligence for data visualization.u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eBAFDESCu003c/tdu003ernu003ctdu003eFundamentals of Descriptive Analyticsu003c/tdu003ernu003ctdu003eThis course introduces students to the science of business analytics. The goal is to provide students with the foundation needed to apply data analytics to real-world challenges. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making. The course also aims to provide tools for processing raw data into formats that can facilitate drawing of summarizing statistics. Visualization techniques complemented and or generated from spreadsheet data processing shall be discussed to help in data interpretation. Statistical tools and techniques presented in the course shall guide students on how to properly interpret results of data analysis.u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eBAFPREDu003c/tdu003ernu003ctdu003eFundamentals of Predictive Analyticsu003c/tdu003ernu003ctdu003eThis undergraduate course introduces students to the foundational concepts and techniques of predictive analytics, with a primary focus on regression analysis. As businesses and organizations increasingly rely on data to make informed decisions, the ability to predict future outcomes based on historical data has become a vital skill. This course aims to equip students with the knowledge and tools necessary to develop, validate, and interpret regression models for predictive purposes.u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eBAFPRESu003c/tdu003ernu003ctdu003eFundamentals of Prescriptive Analyticsu003c/tdu003ernu003ctdu003eThis is a three-unit course which provides business students with the necessary skills in decision making anchored on the science of quantification. This covers the judicious use of business information from the internal and external loci of the organization as bases in making business decisions. Emphasis is made on that business analytics is not a theoretical discipline: these techniques are only interesting and important to the extent that they can be used to provide real insights and improve the speed, reliability, and quality of decisions. The concepts learned in this class should help students identify opportunities in which business analytics can be used to improve performance and support important decisions. It should make them alert to the ways that analytics can be used, or misused, within an organization.u003c/tdu003ernu003c/tru003ernu003c/tbodyu003ernu003c/tableu003ernu003c/divu003ernu003c/divu003ernu003c/divu003e
u003cdiv class=u0022table-blocku0022u003ernu003cdiv class=u0022table-containeru0022u003ernu003cdiv class=u0022table-wrapperu0022u003ernu003ctable class=u0022custom-tableu0022u003ernu003ctheadu003ernu003ctru003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u0022150u0022u003eu003cbu003eCourse Codeu003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u0022300u0022u003eu003cbu003eCourse Titleu003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022u003eu003cbu003eBrief Descriptionu003c/bu003eu003c/tdu003ernu003c/tru003ernu003c/theadu003ernu003ctbodyu003ernu003ctru003ernu003ctdu003eBAINTER1u003c/tdu003ernu003ctdu003eFundamentals of Business Analyticsu003c/tdu003ernu003ctdu003eThis course is a client-engaged practicum that requires students in the Business Analytics specialization to complete a minimum of 300 hours of supervised professional engagement through on-the-job training (OJT) with organizations engaged in business analytics or data-driven decision-making. Students, working individually or in teams, are assigned to specific, time-bound analytics projects and function as project consultants under the supervision of a designated company mentor or manager. The practicum enables students to apply business analytics concepts, tools, and technologies in real organizational contexts, generate data-driven insights to support managerial decision-making, and communicate findings effectively to stakeholders. It also aims to develop professional competence, ethical responsibility, and reflective understanding of organizational practices, management styles, and the strategic role of analytics in achieving business objectives.u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eBAINTER2u003c/tdu003ernu003ctdu003eAnalytics Internship 2u003c/tdu003ernu003ctdu003eStudents specializing in Business Analytics are required to complete a 300-hour practicum through on-the-job training (OJT) with local companies engaged in data science and business analytics. The practicum may be undertaken as a one-month full-time summer engagement or an equivalent schedule totaling 300 hours. Students are responsible for identifying host organizations willing to accept them as trainees, and the tasks assigned must be directly related to business analytics. The practicum aims to provide students with authentic workplace experience, exposure to diverse management styles and organizational procedures, and opportunities to apply their academic learning to real-world business analytics contexts.u003c/tdu003ernu003c/tru003ernu003c/tbodyu003ernu003c/tableu003ernu003c/divu003ernu003c/divu003ernu003c/divu003e
u003cdiv class=u0022table-blocku0022u003ernu003cdiv class=u0022table-containeru0022u003ernu003cdiv class=u0022table-wrapperu0022u003ernu003ctable class=u0022custom-tableu0022u003ernu003ctheadu003ernu003ctru003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u0022150u0022u003eu003cbu003eCourse Codeu003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022 width=u0022300u0022u003eu003cbu003eCourse Titleu003c/bu003eu003c/tdu003ernu003ctd style=u0022padding: 10px 15px;u0022u003eu003cbu003eBrief Descriptionu003c/bu003eu003c/tdu003ernu003c/tru003ernu003c/theadu003ernu003ctbodyu003ernu003ctru003ernu003ctdu003eTHSBUS1u003c/tdu003ernu003ctdu003eThesis 1u003c/tdu003ernu003ctdu003eThesis 1 focuses on the development of a research proposal that demonstrates the student’s ability to integrate and apply knowledge and skills acquired across the Business Analytics curriculum. Students are required to identify a relevant organizational or industry problem and design an analytics-driven research study grounded in big data, quantitative analysis, and evidence-based management. The course emphasizes problem formulation, literature review, research design, data sourcing, analytics methodology, and ethical considerations. By the end of the course, students are expected to produce a defensible thesis proposal that clearly articulates how business analytics tools and techniques will be used to generate actionable insights.u003c/tdu003ernu003c/tru003ernu003ctru003ernu003ctdu003eTHSBUS2u003c/tdu003ernu003ctdu003eThesis 2u003c/tdu003ernu003ctdu003eThesis 2 focuses on the execution, analysis, and interpretation of the approved thesis proposal developed in Thesis 1. Students implement their research design by collecting, processing, and analyzing data using appropriate business analytics, statistical, and big data techniques, and present results that address the stated research objectives. The course emphasizes rigorous data analysis, results presentation, discussion of findings, managerial implications, and conclusions grounded in analytics-driven evidence. Students are expected to demonstrate analytical rigor, critical thinking, and professional communication through a completed thesis that contributes practical and theoretical insights relevant to business and management contexts.u003c/tdu003ernu003c/tru003ernu003c/tbodyu003ernu003c/tableu003ernu003c/divu003ernu003c/divu003ernu003c/divu003e
u003colu003ern tu003cliu003eCopy of Grade 11 or 12 ID cardu003c/liu003ern tu003cliu003eRecent 2×2 or Passport-size Photo (Specifications: white background, neutral expression, no eyeglasses or colored contacts, ears visible (unless prohibited by religious customs)u003c/liu003ern tu003cliu003eGrade 11 Report Card or Transcript of Records/Form 137 (High school applicants with 1st and 2nd-semester report cards must ensure that both Report Cards are signed by the designated signatories)u003c/liu003ernu003c/olu003e
To be submitted once the applicant has received an offer letter.rnu003cstrongu003eAcademic Recordsu003c/strongu003ernGrade 12 students who are expected to graduate at the end of Academic Year 2025-2026rnu003colu003ern tu003cliu003eSecondary Scholastic Record (in DLSU Format, signed by SCHOOL REGISTRAR or PRINCIPAL). Download the form u003ca href=u0022https://old.dlsu.edu.ph/wp-content/uploads/pdf/oas/undergraduate/admission-sec-scholastic-record.pdfu0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003ehereu003c/au003e.u003c/liu003ern tu003cliu003eCertificate of Non-Issuance of Numerical Grades if you are an applicant from a school with non-numerical (Pass/Fail) grades.u003c/liu003ern tu003cliu003eCertificate of Good Moral Character (CGMC). The CGMC should be officially issued and signed by the school’s authorized signatory during the student’s Grade 11 and/or Grade 12 years.u003c/liu003ern tu003cliu003eTranscript of Records IF you are an applicant from a school not recognized by the Philippine Department of Education (DepEd).u003c/liu003ernu003c/olu003ernu003cstrongu003ePlease see DLSU Website: u003ca href=u0022https://old.dlsu.edu.ph/admissions/undergraduate/freshmen-procedures/u0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003eUG Freshmen Admission Proceduresu003c/au003eu003c/strongu003ernrnu003cstrongu003eu003ca href=u0022https://old.dlsu.edu.ph/admissions/undergraduate/freshmen-procedures/u0022 target=u0022_blanku0022 rel=u0022noopeneru0022u003eApplication for undergraduate (UG) admission for AY2026-27 (Term 1)u003c/au003eu003c/strongu003ernrnu0026nbsp;rnu003cdiv class=u0022wp-block-button has-custom-width wp-block-button__width-50u0022 style=u0022text-align: center;u0022u003eu003ca class=u0022wp-block-button__link has-text-color has-background wp-element-buttonu0022 style=u0022border-radius: 20px; color: #ffffff; background-color: #00703c;u0022 href=u0022https://applyarchershub.dlsu.edu.ph/ApplicationLandingPage/index/DLSUu0022u003eApply Nowu003c/au003eu003c/divu003e
