Master in AI and Data Analytics

The Master in AI and Data Analytics (MAIDA) program equips you with essential business analytics skills, expertise in data analysis, and effective communication to influence decision-makers and drive organizational change. Combining data analytics with AI enables participants to uncover deeper insights, streamline complex analyses, and accelerate data-driven decisions that yield outstanding business results.

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Transform data into decisions

Advance your expertise with a data analytics master’s degree that moves beyond the basics, teaching you to discover, analyze, and interpret a wide range of data types. Gain proficiency in sophisticated techniques such as machine learning and predictive modeling to overcome real-world business obstacles. This will foster strategic thinking and strengthen your analytical skills.

The curriculum integrates artificial intelligence and data analytics tools to provide hands-on experience with advanced technologies that streamline data preparation, reveal hidden patterns, and deliver actionable insights. This expertise is vital for roles like Data Scientists, Business Analysts, and AI Specialists.

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What You Will Learn:

The Master in AI and Data Analytics program equips you with comprehensive skills in data analysis, machine learning, and artificial intelligence to solve complex business problems and drive impactful decisions. The key benefits include:

Mastering AI-Enabled Analytics: Gain hands-on experience with AI tools and techniques to automate data processes, uncover insights, and enhance data-driven decision-making.

Solving Real-World Business Problems: Learn sophisticated methods such as machine learning, predictive modeling, and ethical AI to address organizational challenges effectively.

Driving Strategic Impact: Develop the ability to translate analytics into clear, actionable strategies that influence decision-makers and drive sustainable business growth.

Program Structure*

The Master in Data Analytics (MDA) program spans 6 terms within 18 months with a pre-program orientation before the first term.

Term 1

Python Programming and Applications
Foundations of Data Analytics
Innovation Management with Design Thinking

Term 2

Language of Business and Sustainability
Applied Computational Statistics
Data Visualization and Storytelling and Management Communication

Term 3

Machine Learning for Data Analytics 1
Economic Analysis and Strategy Formulation
Financial Management

Term 4

Machine Learning for Data Analytics 2
AI Applications and Technology in Business
Data Analytics Elective 1

Two electives are required to complete the degree.

Term 5

Marketing Insights and Analytics
Responsible Human Capital Management
Data Strategy, Governance and Ethical AI
Capstone 1

Term 6

Data Analytics Elective 2
Operations Management
Capstone 2

Two electives are required to complete the degree.

DA Electives

Applied Time Series and Forecasting
Analytics Special Topics: People Analytics, Healthcare Analytics and Social Media Analytics
Natural Language Processing for Data Analytics
Innovating with Data Science and AI – Study Tour

*This program’s curriculum is subject to change.

Start Date and Class Schedule

Duration: 18 months (6 terms)
Start Date: Every April
Class Schedule: To be determined

Weekdays: twice a week between 6pm to 9:30pm, online
Saturday: 9am to 5pm, hybrid

Class Type: Hybrid

Minimum Requirements:

Bachelor’s degree (or equivalent qualification) in any discipline, subject to evaluation by the program’s Admissions Committee
Minimum of two years of work experience
Proficiency in spoken and written English

Application Deadline for April 2026 Intake

31 March 2026

(For Non-Resident and Resident Applicants)

Program Learning Goals

These goals outline the knowledge, skills, and abilities that data analytics students are expected to develop by the time they graduate from our Philippine-based master’s program. They ensure that the programs of AIM remain both challenging and aligned with the current business landscape.

Program Learning Goal 1:

The AIM Master in Data Analytics graduates will be proficient in strategic implementation of data analytics to create business value.

Program Learning Goal 2:

The AIM Master in Data Analytics graduates will be adept at leveraging technology for data-driven decision-making and governance.

Program Learning Goal 3:

The AIM Master in Data Analytics graduates will be effective communicators across functional areas in an organization.

Program Learning Goal 4:

Master in AI and Data Analytics graduates will expertly apply AI techniques, including generative AI, to enhance data-driven insights and business solutions.