Graduate Programs For Business Majors – The Doctor of Philosophy in Business (PHDBUS) program is designed for those seeking a career in business teaching and research. Its goal is to develop students’ mastery of the behavioral and quantitative aspects of various business disciplines in order to enable them to form new ways of examining, analyzing and solving complex problems faced by companies, industries, public organizations and society.
Applicants are expected to present their research portfolio (theses or equivalent scholarly output) during the interview with the graduate studies coordinator.
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As a measure to better prepare doctoral students for coursework requirements, candidates will be evaluated through validation exams in business mathematical analysis (algebra and calculus), statistics, business economics, and business organizations. Those who do not pass the validation exam or decide not to take the validation exams will enroll in pre-doctoral or preparatory classes in business mathematical analysis (algebra and calculus), statistics, business economics and business organizations (master’s level). .
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Exemptions may be granted to applicants with master’s degrees in compliance with pre-doctoral courses as evaluated by the graduate studies coordinator based on the program’s exemption policy.
Doctoral students attend a total of 12 units of basic subjects in research methods, statistics and economics that will focus on econometrics, data analysis and research methods. Lasallian Business Leadership with CSR, Ethics and Sustainability will become the basic course for introducing students to Lasallian values, business philosophy and principles. These subjects are preparation for teaching work. All courses will require research output in the form of publishable journal articles. Students will be required to maintain a research portfolio of all research results to present to faculty subject to qualitative and quantitative research, as well as to a potential faculty advisor/mentor as a concept paper to fulfill the dissertation writing application requirement.
Students are required to enroll in 12 subjects (3 units each) of various courses offered by the functional area/business process. The presentation method is a type of seminar that involves discussion and includes classic, current and evolving topics in business. Students interested in studying additional specialist subjects can register them as exam subjects at other faculties of the University.
Students will be required to maintain a research portfolio of all research results to present to faculty subject to qualitative and quantitative research, as well as to a potential faculty advisor/mentor as a concept paper to fulfill the dissertation writing application requirement.
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Students are required to register in 6 optional units that should include subjects relevant to the subject of the dissertation. Students can choose to take electives:
After completing the course, students take a qualifying exam, usually at the end of the second year. The qualification exam is a comprehensive test of the student’s knowledge in the field and can be passed in one of two ways: 1) written comprehensive exam; or 2) research paper(s) set by the department on any 5 undergraduate and graduate courses. Research papers could be part of a research portfolio that will be examined by the committee for certain criteria.
To develop research skills beyond classroom learning, students may choose to commit to a maximum of six (6) hours per week of research assistantship depending on project availability and student qualifications.
Part of the research and assistant work is the presentation of research results at conferences in the country and abroad in co-authorship with mentors or in individual authorship.
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After passing the qualifying exam, students should enroll in quantitative and qualitative research methods with a dissertation proposal as the required deliverables for both courses using the URCO guidelines for research proposals.
After the exchange program, students will continue to write a dissertation proposal, with a panel defense for the proposal and final paper.
The MSc in Computational Finance is an intensive program aimed at teaching students, investment professionals and financial advisors to integrate mathematical and statistical models and techniques with financial theory and computer technology.
The core of the degree program includes risk management and parallel courses in life and non-life insurance management.
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This introductory course provides an overview of the entire process of managing life and non-life insurance companies, including the prudent management of their investments in stocks, bonds, notes and other instruments.
This course provides an understanding of the basic principles of marketing and marketing functions in the insurance industry.
This course is a detailed survey of macroeconomics and microeconomics, with special discussion of economic constraints and production possibilities, as well as market characteristics, structures, and institutions.
It covers environmental scanning, assessment, analysis of internal and external factors, strategy recommendations and implementation. It will also cover capital budgeting techniques, working capital requirements, analysis of insurance company financial statements, and an introduction to portfolio and investment management.
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Revision of the Insurance Code of the Philippines, all other circulars issued affecting the insurance industry in general. This course is also designed to develop practical knowledge of claims settlement and management, both commercial and personal lines.
This course studies insurance markets from a general and international perspective. It covers the nature and functions of reinsurance and non-traditional methods of risk transfer.
This course deals with the nature and objectives of corporate risk management, with a focus on identifying, evaluating and handling the pure risks to which the life insurance corporation is exposed.
This course is about determining the value of human life and preserving those values through personal and business life and health insurance.
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This course introduces practical applications of financial mathematics such as loan amortization and bond pricing, contingency premiums, basic life contingencies, and determining annuity insurance benefits and premiums.
Application of life and health insurance to business and real estate planning situations with an emphasis on current events in retirement planning, business continuity and asset preservation.
This course deals with the nature and objectives of corporate risk management, with a focus on recognizing, evaluating and handling the pure risks to which a non-life insurance corporation is exposed.
This course focuses on marine insurance company, marine hull and cargo insurance, policy clauses and forms, insurance practices and marine claims. It also examines the structure of the insurance market and the financial management of property liability insurance companies.
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This course focuses on statistical forecasting techniques such as regression, exponential smoothing, and time series models, with special emphasis on insurance applications.
This course covers basic reinsurance purchase decisions, property liability program design and pricing, the effect of key reinsurance clauses, reinsurance claims, and the transfer and assumption of alternative risk.
This course focuses on exploring methods of data collection and analysis for risk management decision making, analysis of qualitative and quantitative data to support transfer decisions, retention and loss control, including loss trends, and evaluation of regulatory controls.
This course covers the fundamental difference between the skills required to manage a portfolio of insurance risks and those required to underwrite individual policies.
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This course covers the practice of fire insurance, underwriting, additional risks including all risks, general and industrial fire risks, and the preparation of plans and reports.
This course discusses the nature, concepts, and principles of suretyship, and will include the different types of bonds, underwriting guidelines, and claims.
This course covers the reasoning behind significant budget commitments for employee benefits, as well as the design of employee benefits packages and aspects of life insurance.
An introductory course that covers the principles and techniques of mass communication, the theories and concepts that serve as the basis of marketing a product, service, organization or idea, and the pragmatics of marketing communication in various areas of advertising and promotion.
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Orientation to the philosophy of environmental scanning using research tools and user insights. External and internal strategic planning factors are evaluated with the goal of developing and implementing a sound multimedia strategy for a product, service, organization or idea.
This course covers statistical tools and methods in marketing, business decision making and research. Topics include descriptive statistics, nonparametric statistical tests, and parametric tests such as regression and correlation using computer software. This course provides a foundation for the use and application of statistical tools for marketing research.
This course is designed to help students learn the basic principles of Marketing Research. This will enable future users of research to learn to assess how useful research information would be in solving specific marketing problems and will provide insight into the potential of research as a career in business. This course aims to help students design and conduct research projects at the lowest possible cost. The emphasis is on the discussion of the different stages in the process of integrated marketing research. A research proposal is required, and a final research study will be defended at the end of the course.
Introduces students to different strategies and philosophies of developing an advertising campaign or marketing communication plan. It focuses on the account management function in an advertising agency and the role of the account manager in overseeing an advertising campaign. As a requirement, the student prepares an advertising plan that covers industry or market analysis, product, target consumer, goal setting, and strategy. Based on the marketing brief, creative and media strategies and tactics are ultimately developed and visualized
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