Application Deadline

16 Mar 2021

Start of Class

19 Apr 2021
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Data → Actionable Insights → Business Value

Master of Science in Data Science

AIM's Master of Science in Data Science (MSDS) is the first graduate data science degree program in the Philippines and one of the very firsts in Asia. This 15-month, full-time, intensive course is designed to produce experts in the fastest-growing, most sought-after specialization worldwide. 

The AIM MSDS curriculum reflects the latest trends and best practices in the field — from data mining and exploration to machine learning, deep learning, big data analytics, and cloud computing. 

One of the strengths of the MSDS program is that it addresses a critical pain point of enterprises—the lack of technically-skilled individuals who possess the required level of communication, leadership, and management skills to help businesses and organizations make informed decisions. The program is designed to bridge this gap that plagues many organizations worldwide. 

At AIM, data scientists work closely with domain experts familiar with business and management issues. Students will, therefore, learn how to formulate the right questions and identify the correct datasets and ensemble of data-driven approaches to address highly diverse business and societal problems. More crucially, they will be taught how to properly communicate results and data-driven insights to maximize their impact on business and industry. 

Super computerAll MSDS students have access to a world-class computing facility housed at AIM, where they learn how to handle, manipulate, and analyze truly big datasets. The facility is part of the Institute’s Analytics, Computing, and Complex Systems (ACCeSs) lab run by world-class researcher scientists and engineers. ACCeSs at AIM is equipped with a 1.2-petaflops AI GPU powered Acer supercomputer. The advanced analytics lab is envisioned to bridge public-private R&D collaboration to develop real-world solutions that address business and societal issues. It is designed to become a center of excellence in data analytics, artificial intelligence, machine learning, and computational modeling.



Program at a Glance


Notable roles of MSDS graduates:

  • Lead Data Scientist/ Data Scientist
  • Risk Data Scientist
  • VP for Digital Solutions and Platforms
  • Digital Transformation Principal
  • Senior AVP for Strategic Initiatives Group
  • Corporate Strategy Manager
  • Product Analytics Manager
  • Emerging Technology Engineer (AI and ML)
  • Research Team Lead
  • Data Science Consultant

Program Curriculum

  • Term 1
  • Term 2
  • Term 3
  • Term 4
  • Term 5
  • Electives
  • Math for Data Science
  • Programming for Data Science
  • Data Viz and Storytelling
  • Fundamentals of Data Science
  • Management Communication I
  • Design Thinking
  • Language of Business
  • Data Mining and Wrangling
  • Applied Computational Statistics
  • Machine Learning I
  • Financial Management I
  • Management Communication II
  • Digital Marketing and Analytics I
  • Business Economics
  • Machine Learning II
  • Electives
  • Project Management
  • Digital Marketing and Analytics II
  • Financial Management II
  • Negotiating Change
  • Management Innovation
  • Machine Learning III
  • Big Data and Cloud Computing
  • Capstone (in progress)
  • Electives
  • Human Behaviors in Organization
  • Operations Management
  • Network Science
  • AI Ethics
  • Capstone
  • Electives
  • Strategic Management
  • Managing for Sustainable Development Impact
  • Complexity Science
  • Advanced Data Mining
  • Geospatial Analysis
  • Natural Language Processing
  • Time Series Analysis
  • Data Engineering
  • Introduction to Image Processing
  • Data Applications (Web)

Capstone Projects with Real-world use cases


The MSDS capstone project is one of the key features of the program that makes it quite unique compared to other data science programs. It is a culminating activity where our students take on projects (real-world problems) from various companies, organizations, and government agencies for which there are no existing solutions. Here, students don’t just jump straight into model building; instead, they go through the entire data science project workflow – from writing project proposals, to data extraction, data mining, and building AI models, to model/platform deployment.

In this exercise, MSDS students are trained as data science consultants; as part of their training, they work closely with world-class professors, full-time data scientists at ACCeSs@AIM, and domain experts.

The Capstone Project process

1) Industry, government, and/or international organizations submit use cases to the MSDS program.
2) A call for proposals from students is opened.
3) Interested student teams submit proposals.
4) Stakeholders and data scientists review the proposals.
5) A project is awarded to teams; this will be the research topic of students.



US_$40_MILLION_blue_360In 2020, the MSDS program received over 25 real-world use cases from various organizations and enterprises, 15 of which made it to the program portfolio. Partners and stakeholders estimated a total potential revenue of about US $40 million from these projects. In 2019, this estimate was at US$10million for 10 capstone projects. Indeed, through the program’s partnerships, MSDS students become data science consultants even while studying; at the same time, the program gets to help organizations innovate through data science and machine learning.

Admission Requirements

We accept driven and skillful applicants with diverse backgrounds. Most of our alumni and students have backgrounds in engineering and the sciences, but we also have holders of economics, business administration, and development communication degrees, among others. Students are selected and admitted based on their scores in the qualifying exam and interview, which will gauge their potential to assume leadership roles in the field of data science. The interview is typically conducted by AIM’s data science professors.

Qualifying Exam Coverage:

  • Elementary Calculus
  • General Mathematics and Logical Reasoning
  • Linear Algebra
  • Probability and Statistics
  • Algebra

Although advanced programming skills are not required during the application process, accepted applicants with minimal to zero skills in programming are instructed to learn Python programming before classes begin. All incoming MSDS students are expected to possess the basic Python programming skills by the time term 1 starts.


What is the timeline of the program?

The MSDS program is full-time and is divided into five terms.

  • Term 1
    April – June 2021
  • Term 2
    July – September 2021
  • Term 3
    October – December 2021
  • Term 4
    January – March 2022
  • Term 5
    April – June 2022

*Tentative schedule

How much is the tuition fee?

US$ 29,500

Do I have to pay the entire tuition fee before classes start?

Tuition can be paid either in full or four installments, one per semester. However, students should pay a reservation fee within one month of receiving an acceptance letter, which will be deducted from the total fee. For details, call +63 2 892.4011 ext. 3004, or e-mail

What do students say about the program?






Am I qualified to take up a Master of Science in Data Science?

We accept driven and skillful applicants with diverse backgrounds and have a bachelor’s degree. Most of our alumni and students have backgrounds in engineering and the sciences, but we also have holders of economics, business administration, and development communication degrees, among others.

Although advanced programming skills are not required during the application process, accepted applicants with minimal to zero skills in programming are instructed to learn Python programming before classes begin. All incoming MSDS students are expected to possess the basic Python programming skills by the time term 1 starts.

Though not required, it is recommended that applicants have at least two years of work experience to get the most out of the program.

Do I need to do anything to prepare for the MSDS program?

During the first term, students will jump right into programming and mathematics.

For the Mathematics for Data Science course, students are strongly advised to review their Elementary Calculus and Linear Algebra courses. We recommend that students prepare further by visiting the Khan Academy website for topics on vectors and spaces, matrix transformations, derivative introduction, basic differentiation, product, quotient, and chain rules, and derivative applications.

For the Programming for Data Science course, we encourage students who need to refresh their knowledge, or who do not have any programming background, to visit the Code Academy website for free Python tutorials.

What thesis do I need to produce?

The MSDS capstone project will be driven by real-world problems from industry, government, and international organizations. To ensure that high quality work is delivered to our stakeholders, the Data Science core faculty and data scientists at ACCeSs@AIM lab will closely mentor students through the resolution of these data-driven problems.

Outputs can vary from technical reports and executable notebooks to deployable interactive applications or software.

What do I need to submit to apply for the MSDS program?

  • Complete online application form
  • Curriculum vitae
  • AIM Admissions Test for Data Science, GMAT, or GRE Official Score Report
  • Transcript of Academic Records
  • Diploma
  • Professional recommendation (If self-employed, a Certificate of Business Registration instead)
  • Any government issued ID

Qualified applicants will be invited for an interview with the faculty on a mutually convenient date.


The Master of Science in Data Science (MSDS) program is a 15-month, full-time degree course. It is designed for students and professionals who are quantitatively and analytically equipped to be ranked among the world’s leading data scientists.

At the end of the program, students are expected to

Come Up With the Right Questions

Know how to solve data-driven problems and build models; equally important: help identify the right questions by working with domain and field experts

Communicate Effectively

Present and explain data-driven results and strategies in a manner clients can easily grasp to help them in decision-making

Generate Business Value

Have the knack for identifying business value, rather than being too focused on building complex models

Immediately Apply Learning

Graduate with job-ready portfolios to showcase all the skills developed during the program

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