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The A.Y. 2026-2027 online application for incoming Grade 11 and College freshmen are now open. Click here to begin!

Mapúa: Home of the Philippines’ First Bachelor of Science in AI Engineering

Join the country’s pioneering AI engineers to lead the design and deployment of intelligent systems that transform industries and society.

110+

employer partners

10

career path

Features & Flexibility

Complete your degree with flexible program options designed around your goals, schedule, and learning needs. Enjoy a more convenient path to academic success with features that help you move forward with confidence.

Blended

Learning Mode

August

Start of Classes for the First Term

15

Scholarships

4 years

Program Length



Program Educational Objectives

BS AI Engineering Program Outcomes

ABET Student Outcomes

  • After completing this electrical engineering course in the Philippines, graduates will be able to:
  • Skillfully solve complex engineering challenges using a broad knowledge base in engineering, science, and mathematics.
  • Design engineering solutions that effectively address user needs while considering health, safety, and environmental impacts alongside cultural and economic contexts.
  • Communicate clearly and effectively with diverse audiences to convey technical information.
  • Uphold ethical standards and professional responsibilities, making informed decisions that consider the societal, environmental, and global implications of engineering practices.
  • Collaborate effectively within teams to provide leadership, foster inclusive environments, and achieve common goals.
  • Conduct rigorous experiments, analyze and interpret data critically, and apply engineering judgment to draw sound conclusions.
  • Continuously acquire and integrate new knowledge using effective learning strategies, remaining adaptable and proactive in a changing world.

PTC Student Outcomes

  • Apply knowledge of mathematics, natural science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • Conduct investigations of complex engineering problems using research-based knowledge and research methods, including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
  • Design solutions for complex engineering problems and design systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  • Function effectively as an individual and as a member or leader of diverse teams and in multidisciplinary settings.
  • Identify, formulate, research literature, and analyze complex engineering problems, reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
  • Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • Understand and evaluate the sustainability and impact of professional engineering work in the solution of complex engineering problems in a societal and environmental context.
  • Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
  • Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to professional engineering practice and solutions to complex engineering problems.
  • Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering problems with an understanding of the limitations.
  • Demonstrate knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Career Opportunities

AI Engineer

AI Engineers design and deploy AI models to improve business decisions. With Mapúa’s advanced BS in AI Engineering program, students gain hands-on experience in machine learning, neural networks, and programming, with a focus on statistics and mathematics.

Big Data Engineer/Architect

Big Data Engineers create systems to manage and analyze large datasets. With an AI Engineering degree from Mapúa, students gain the skills to work with tools like Hadoop and Spark, ensuring data accessibility and reliability.

Business Intelligence Developer

Business Intelligence Developers analyze data to drive profitability and efficiency. Through Mapúa’s AI Engineering degree, students learn to develop data-driven solutions and manage cloud-based tools for strategic decision-making.

Database Developer

Specializing in the creation and management of databases, Database Developers use languages such as SQL, Python, and PHP to ensure that data is organized, secure, and readily available, serving as the backbone of efficient software applications.

Machine Learning Engineer

Machine Learning Engineers develop systems that enable machines to learn from data. Mapúa’s BS in AI Engineering program prepares students to work with large datasets and apply predictive models in areas like fraud detection and risk management.

Quality Assurance Engineer

Ensure the highest standards in the production and operation of electronic systems.

Quantitative Analyst

Quantitative Analysts use statistical models to guide investment and risk management. Pursuing an AI Engineering degree at Mapúa provides the advanced math skills needed to succeed in this high-stakes field.

Key Skills You'll Develop

Skill-1 Skill-2

Research Scientist

Working at the forefront of AI innovation, Research Scientists explore complex problems using deep learning, statistics, and machine learning. This role is largely research-focused, often taking place in lab settings, where they push the boundaries of what AI can achieve.

Software Engineer

With a strong foundation in full-stack development and machine learning, Software Engineers in AI create intelligent applications that integrate advanced algorithms and user-friendly design, bridging the gap between traditional software development and smart automation.

Telecommunications Engineer

Design and oversee the installation of telecommunications equipment and facilities.

常见问题解答

Can transferees or second-degree applicants apply to the AI Engineering program?

Yes, transferees and second-degree applicants are welcome to apply to the AI engineering degree program, subject to evaluation of their previous academic records and program placement results. Some previously completed courses may be credited if aligned with curriculum requirements. This pathway enables students from related fields to transition into the undergraduate program and specialize in artificial intelligence while completing any necessary bridging or prerequisite courses.

How do I apply for the AI engineering program?

To apply for the AI engineering program, complete the online application form through the University’s admissions portal and upload the required academic documents. After submission, you will schedule and take the MPASS. Once results are released, qualified applicants can reserve a slot and proceed with enrollment. Following these steps secures your pathway toward earning an AI engineering degree designed for future-focused technology careers.

What are the requirements for enrollment?

Enrollment in the AI engineering program requires accepted applicants to submit final academic credentials, such as report cards or transcripts, proof of graduation, and other documents listed by admissions. You must also complete payment of applicable fees and confirm your slot within the given timeline. Meeting these requirements allows you to formally enroll in the program and begin coursework in AI, robotics, and data-driven systems.

What is the MPASS, and how does it impact my admission?

The Mapúa Program Placement Assessment (MPASS) is the University’s standardized assessment that measures an applicant’s cognitive and academic readiness. It is used to identify suitable program options, including the AI engineering program, based on assessment results.

MPASS does not disqualify applicants. Instead, it helps determine the best-fit pathway for success. Your results guide admission to the AI engineering degree and may also suggest additional preparation before taking advanced AI and computing courses.

What scholarship opportunities are available for incoming AI engineering students?

Incoming students may apply for the University’s various scholarship programs. These scholarships often consider academic performance, MPASS results, and overall qualifications. Financial assistance helps make the AI engineering degree program more accessible to high-achieving students who want to pursue advanced studies in artificial intelligence, intelligent automation, and emerging digital technologies.