Master of Science in Data Science

Become a leader in data science who can drive innovation and create value for organizations across a range of industries.

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Join our network of data science leaders 

The Asian Institute of Management’s (AIM) Master of Science in Data Science (MSDS) is a pioneering program tailored for data science practitioners. Designed by experienced experts, the MSDS curriculum is rigorous and up-to-date, focusing on the latest techniques, models, and technologies in advanced analytics.

The MSDS program equips students with analytical skills alongside an understanding of business elements, allowing them to develop data-driven strategies to solve real-world problems. With this competitive edge, graduates can respond to industry demands and become transformative leaders.

The Institute’s approach to MSDS has equipped graduates with a duality of skills that provided them with a new perspective in approaching real-world business problems. The MSDS program offers numerous benefits regardless of career or industry.

Shaping data-driven leaders

The Master of Science in Data Science (MSDS) program is the Asian Institute of Management’s response to the blurring of boundaries between data science and business. The program is designed for professionals who wish to learn to apply data science to business.

It is structured to maximize students’ learning within the 15 months of their program. The program balances technical data science and AI courses with business administration courses to ensure holistic education. Course electives allow students to choose a focus area based on their interests or industry. Meanwhile, practice balances theory through capstone projects and consulting opportunities where students engage in real-world problems.

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Program Structure*


*This program’s curriculum is subject to change.

The Asian Institute of Management (AIM) Advantage: Affiliations and Opportunities

The Asian Institute of Management’s (AIM) Master of Science in Data Science (MSDS) program provides a holistic education experience through the guidance of world-class instructors. Expand your education further with AIM’s affiliations and opportunities:


Start Date and Class Schedule 

Duration: 15 months (5 terms)
Start Date: Every July

Class Schedule:

  • Monday to Friday 9:00 AM – 5:00 PM

Class Type: Students attend in-person classes on campus

Minimum Requirements:

  • AIM Data Science Qualifying Exam 
  • Interview
  • Must have a Bachelor’s degree in any discipline

Application Deadline for July 2025 Intake 

  • 30 December 2024 (For International Applicants)
  • 30 June 2025 (For Filipino Applicants) 
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Application Deadline for July 2025 Intake

30 December 2024

(For Non-Resident Applicants)

30 June 2025

(For Resident Applicants)

Program Learning Goals 

These goals outline the knowledge, skills, and abilities that students are expected to develop by the time they graduate. They ensure that the programs of the Asian Institute of Management (AIM) remain both challenging and aligned with the current business landscape.

Program Learning Goal 1:

The Master of Science in Data Science students will be critical data-driven thinkers and decision-makers. 

Program Learning Goal 2:

The Master of Science in Data Science students will be data science practitioners.

Program Learning Goal 3:

The Master of Science in Data Science students will be effective communicators.

Program Learning Goal 4:

The Master of Science in Data Science students will be ethical and effective team players.

Earn your master’s degree with a community of data science professionals and experts

Master of Science in Data Science Class Profile

Students Enrolled

35

International Students

Filipino100%

Nationalities Represented

  • Philippines

Average Age

31

Years old

Gender

Male69%
Female31%

Professional Level

  • Middle Management
  • Junior or Staff
  • Senior Management

Average Work Experience

8

Years

Industries Represented

IT and BPO23%
Banking and Finance17%
Government11%
Communication Services11%
Construction and Engineering9%
Education6%
Transportation, Logistics, Supply Chain6%
Agriculture, Fisheries, Forestry3%
Aerospace and Defense1%
Media, Entertainment, Advertising1%