About MABA | UA&P Website

WE MAKE DATA SERVE PEOPLE

Master in Applied Business Analytics

The Master in Applied Business Analytics (MABA) Program, launched in 2018, is a two-year graduate program for experienced professionals in any industry who want to seize the power of data and analytics in their work to forward their organization. It is designed for working professionals who are starting a career in analytics or wanting to build their managerial expertise and take their analytics career to the next level.

MABA is an applied, multi-disciplinary, experience building and collaborative program. Faculty from the academe and industry work together to combine theory and practice i.e., integrating business, technology, communication and quantitative disciplines with liberal education. Our partnership with the Analytics & Artificial Intelligence Association of the Philippines (AAP), Amazon Web Services (AWS) Academy, London Stock Exchange Group (LSEG) Data and Analytics, Technistock, DOST-Advanced Science and Technology Institute (ASTI) and other sponsor companies help the students to work on real problems of real clients with actual data for their analytics course projects. Courses are project-oriented employing inquiry-based approach to learning to build critical thinking and problem-solving skills.

Our Tagline: We Make Data Serve People

Data is our object, and people are our purpose. Everything we do transforms data into something meaningful and valuable.

Students

We aim to develop the analytics and AI skills of our students to create value and grow professionally.

Organizations

We endeavor to help organizations build their capability towards data-informed decisions that drive performance and business outcomes.

End Users / Society

We make data work for and not against the people in the society, thus our advocacy for the humane and ethical use of data.

Data represents real people; therefore, analytics must be ethical and responsible, where profit is only a means and the ultimate goal is human-centered impact.

Program Objectives

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 and emerging technology (including artificial intelligence) 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-informed leadership and management to make sense of data and derive insights that will drive business and organizational solutions.

Program Outcomes

Students develop analytics solutions and begin leading data-driven projects using different perspectives. Working on real data, students apply algorithms and other related tools and methodologies to derive insights to solve problems of stakeholders across industries. When they graduate from the program, they will have the capacity to carry-out the following:

Leverage data to inform strategic and operational decisions.
Utilize data to create analytical models to inform specific functions and business decisions.
Leverage data analysis and modeling techniques to solve problems and glean imperatives and recommendations across functional domains.
Help the organization implement the digital transformation process through cutting-edge data analytics, artificial intelligence (AI), and other emerging tools and technologies.
Oversee analytical operations and communicate insights to executives for planning, policy formulation, and informed decision-making.
Identify, define, and prioritize ethical and legal concerns related to data analytics as they pertain to persons, organizations, and society.

Program Curriculum

The program is structured into three tracks based on the student’s intended capstone focus, with each track comprising 36 total units.

Industry Application Track
Methodology Development and Innovation Track
Emerging Knowledge in AI and Analytics Track

Link to Course Description

MABA graduates can pursue the following analytics-related professional careers at the top, middle, and supervisory levels of management in various organizations:

Chief Analytics Manager/Officer
Chief Data Officer
Analytics Project Manager
AI Product Manager
Data/AI Governance Manager
Data Engineering Manager
Data Science Manager
Data Governance Officer/Manager
Analytics Translator
Business Intelligence Officer/Manager
Business Insights and Innovations Manager

Schedule

The MABA program is designed for working professionals who want to study on a part-time basis. Classes are delivered onsite (UA&P’s Ortigas Campus) on weekdays (6:00pm to 9:00pm) and/or Saturdays (9:00am to 12:00pm and 2:00pm to 5:00pm) with special arrangement for online and asynchronous classes on a case-to-case basis. The tri-term schedules are:

Term 1: August to October
Term 2: December to March
Term 3: April to June

Admission Criteria

Applicants to the UA&P MABA Program must hold a bachelor’s degree from an accredited institution with at least two years of professional experience. Having a quantitative background and occupying a management role are highly advantageous. Experience in a domain and managing projects are key factors to your success in the program.

Application Process

Important Reminder: Before clicking Apply Now, please take a moment to carefully review the admissions process to ensure a smooth application experience.

1. Create your account.

Click the “Apply Now” button below to begin. Sign up and verify your account via email to access the application portal.

2. Log in and select Graduate Programs.

Select the appropriate form from the list of open admissions based on your applicant type.

Once selected, you’ll see your Application Checklist. Click Apply to proceed.

3. Pay the application fee.

You will need to upload your proof of payment (screenshot of online payment or image of receipt) as well as input other transaction details on your dashboard. Additional payment methods will be available soon. Application fees are nonrefundable.

4. Upload your requirements.

Submit the required documents which may vary depending on what type of applicant you are.

Birth Certificate
Valid ID or any government-issued ID (i.e., passport or driver's license)
Transcript of Records (TOR) or any copy of the applicant’s collegiate grades
Diploma
Curriculum Vitae or Resume
Applicant Photo (2 x 2 inch, colored photo with white background)
Two (2) Recommendation Forms
Essay

Additional requirements for Foreign Applicants:

Passport Information Page
Proof of English Proficiency (Applicants may provide a university certification stating English was the medium of instruction for their bachelor’s degree as an alternative to TOEFL or IELTS).

5. Applicants will be interviewed by the MABA program representative.

6. Check your Admissions results.

After completing all steps, your admissions results will be available through your application portal.

7. Applicants who will pass in the initial screening must enroll in Bridging Courses and attend the Analytics Bootcamp.

Apply Now

Important Dates

Note: The application for August 2026 intake is closed. Application for August 2027 intake is now open.

Information Session: November 21, 2026 & February 27, 2027 | Saturday | Register here
Application Deadline: March 6, 2027 | Saturday
Interview Dates: March 13 & 20, 2027 | Saturday
Release of Application Result: April 3, 2027 | Saturday
Bridging Program Enrollment: April 6 - 10, 2027 | Tuesday - Saturday
Bridging Classes: April 17 - July 3, 2027 | Saturdays
Analytics Boot Camp: July 10 & 17, 2027 | Saturdays
Enlistment and Enrollment for Term 1: July 27 - 30, 2027 | Tuesday - Friday
Class Start Date: August 04, 2027 | Wednesday