De La Salle University

What you'll study

This degree blends a broad foundation in business management with specialised training in analytics. Core business subjects cover management theory, organisational behaviour, accounting, finance, marketing, operations management and strategic management. The analytics specialisation introduces quantitative and computational techniques such as statistics, probability, econometrics, database management, data mining, predictive modelling, machine learning fundamentals, and data visualisation.

• Foundation modules: Principles of Management, Business Communication, Business Law and Ethics, Financial and Managerial Accounting, Principles of Marketing, Microeconomics and Macroeconomics.
• Management core: Organisational Behaviour, Human Resource Management, Operations and Supply Chain Management, Strategic Management, Project Management.
• Analytics specialisation: Business Statistics, Applied Regression and Econometrics, Database Systems and SQL, Introduction to Programming for Data Analysis (typically Python or R), Data Mining and Machine Learning for Business, Business Intelligence and Data Visualisation, Predictive Analytics.
• Supporting skills: Quantitative Methods, Research Methods, Decision Analysis, Information Systems for Management.
• Capstone and practical learning: Industry practicum, internship placement, consultancy project or capstone research project that applies analytics to real business problems.

Entry requirements

Applicants are normally expected to hold a recognised Senior High School diploma with a strong background in mathematics. Admission to De La Salle University requires passing the university's admission process and meeting programme-specific academic criteria; competitive applicants typically demonstrate strong grades in quantitative subjects and evidence of analytical aptitude.

• Completion of Senior High School with satisfactory grades in Mathematics and English subjects.
• Successful performance in the university's admission evaluation; some applicants may be required to sit an entrance assessment or interview as part of selection.
• International applicants must demonstrate equivalent secondary qualifications and meet English language proficiency requirements where applicable.
• No specific portfolio is required, but participation in mathematics, ICT or business-related extracurricular activities is advantageous.

Career prospects

Graduates are prepared for roles that combine business knowledge with quantitative and technical skills. Typical career paths include Data Analyst, Business Analyst, Business Intelligence Developer, Operations/Logistics Analyst, Market Research Analyst, Risk Analyst and Management Consultant.

Because the programme emphasises both management and analytics, alumni can move into functional leadership positions in finance, marketing, operations and strategy, or into specialist analytics roles in industries such as banking, consulting, retail, telecommunications, manufacturing and government. The skillset is also suitable for entrepreneurship and for further study in business analytics, data science or an MBA.

Why study at De La Salle University

• Established business education: The university has a long-standing college of business with experienced faculty who teach both management theory and applied analytics.
• Industry links and practical learning: Strong connections with corporations and a focus on internships and consultancy projects help students gain real-world experience and employer contacts.
• Facilities and resources: Access to computer labs, analytics software, databases and learning resources that support hands-on data work and group projects.
• Student support and career services: Career guidance, placement assistance and an active alumni network in the Philippines and the region support transition into employment or postgraduate study.
• Interdisciplinary approach: The programme’s combination of management studies and analytical training prepares graduates to make strategic, evidence-based decisions in a variety of organisational settings.