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MSU - Iligan Institute of Technology
School of Interdisciplinary Studies

        About Us

Overview

Brief History

Vision and Mission

Office of the Dean

        Programs

Environmental Science

Sustainable Development Studies

Data Science

Students

 Faculty & Staff

Faculty

Faculty Affiliates

Staff

Research

Resources

Data Science Program

Prof. Orven E. Llantos, PhD

Program Coordinator


orven.llantos@g.msuiit.edu.ph 

Overview

This interdisciplinary program merges Computer Science, Mathematics/Statistics, and Domain/Business Knowledge to extract actionable insights from large, complex data sets to optimize organizational processes. It prepares graduates for high-impact roles as data science leaders, consultants, and educators who can design innovative, data-driven solutions for government, industry, and the academe. By focusing on deep analytical and technical skills like machine learning and big data, the program equips future leaders to address real-world challenges and contribute to national development.

Program

  • Master in Data Science

Master in Data Science 

The Master of Data Science program is designed to provide students with a structured and comprehensive learning journey over two academic years. It combines foundational knowledge, practical skills, and advanced concepts in a progressive manner, ensuring that students develop the expertise needed to excel in the rapidly evolving field of data science. The curriculum includes a balanced mix of coursework, assessments, and a culminating capstone project that integrates theoretical understanding with real-world application. 

First Year, First Semester

  • Mathematics for Data Science 

  • Programming for Data Science 

  • Introduction to Data Science

  • Data Visualization and Storytelling 


First Year, Second Semester

  • Machine Learning I

  • Data Mining and Wrangling

  • Statistics for Data Science 

  • Data Science and Business Thinking


First Year, Summer

  • Comprehensive Exam


Second Year, First Semester 

  • Machine Learning II 

  • Big Data 

  • Research Methods for Data Science


Second Year, Second Semester

  • Capstone Project 

Download Program of Study here.

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