Program Objectives

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1. To become more relevant to the clarion call of Industrial Revolution 4.0 and the changing landscape of the digital economy through a graduate program that is responsive to the growing data analytics needs and concerns of the industry, government and non-government organizations, academe, and other emerging institutions in our society (e.g. humanitarian, response and mitigation teams and networks, quasi-government and commissioned organizations, virtual workplaces, etc).

2. To  provide organizations and communities across industries with much-needed analytics professionals who are schooled in humanist and ethical perspectives and honed in data-driven leadership and management to make sense of data and derive insights that will drive business and organizational solutions. 

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The Program’s Tagline: We Make Data Serve People

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Business analytics follows from data analytics and data is at the heart of the program. It is the direct  object, the subject is WE, and the verb, the action is MAKE, i.e., we use data, we transform it for a  purpose. This completes the action: make it serve, be useful to people. The key to understanding the  full meaning of the tagline, however, lies in the underscored word, PEOPLE, the indirect object, the  recipient of the action, which can and should be understood in several ways. 

People first of all refers to the students who take the program. Data will serve them, will be useful for  them , by acquiring the skills in analytics. With those skills you can do more for the company you  work with, you can do more, you can earn more. 

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People also refers to the institutions the students and graduates work for. Ultimately what they do for  them should improve their bottom line – more profit for the business entity. 

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People as the end users, the clients, the customers. With analytics, they can expect better services,  better products, at better prices. They should get what they need, when they need it, even without  knowing it. But more importantly, for those end users and people in general, data should serve them.  It should be useful to them, and it should never go against them. After all, these data are mostly their  data, or at least involve them – people’s transactions, preferences, consumption patterns, geographical  locations, and so on and so forth. Thus, data ethics is absolutely important. Beyond legal is ethical.  Profit is not the end goal, it is only a means. The ultimate objective is people. Our analytics requires  understanding what the human person is. This is why we underlined people. No matter how you  understand people, data should be made to be at their service. It should serve people. 

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As a final note. The subject is WE, in the plural. It is the active collaboration of the students, the  faculty, the mentors, the admin staff, and our advisers, that we can make these goals a reality.