Program Overview

All of the courses in the program integrate skills that would be more common in the arts and humanities, allowing students to think more critically and see things through a more macro lens. This feature not only highlights the liberal arts tradition at Mactan College, but more importantly, it will greatly contribute to the students' understanding of the industry and make them stand out in their field of specialization.

Program Curriculum

 Course

• ANA 500 - Foundations of Data Analytics

• ANA 505 - Data Mining: Algorithms and Applications

• ANA 510 - Statistical Methods for Data Science and Analytics

• ANA 515 - Fundamentals of Data Storage, Cleaning and Retrieval

• ANA 522 - Fundamentals of Programming in Python

• ANA 525 - Qualitative Methods

• ANA 530 - Quantitative Reporting and Modeling

• ANA 535 - Forecasting and Proscriptive Methods

• ANA 540 - Advanced Data Analytics

  In addition students will be required to choose one of the following two courses: 

• ANA 544 - Independent Study in Data Analytics

• ANA 555 - Practicum in Applied Analytics, Data Communication & Ethics

Click here for detailed course descriptions>

All programs require students to actively participate in a Certified Practical Training (CPT).F1 students are required to take one 0-credit experiential internship course each semester, which will be designed in collaboration with the student and advisor with a scope and objectives appropriate to the student's academic and professional goals.