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Learn the Language of Data with Mapúa's Bachelor of Science in Data Science

Dive into the world of data analytics with Mapúa’s BS in Data Science! Learn skills in analysis, programming, and machine learning to solve real-world problems in diverse industries.

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Overview of the Bachelor of Science in Data Science

Be at the forefront of technological advancements with Mapúa’s BS Data Science program! Train your skills in evaluating complex datasets and extracting insights through data analysis, programming, and machine learning. Gain hands-on experience in building and using predictive models, transforming information into actionable data for impactful decision-making.

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Blended Learning

Learning Mode

August

Start of Classes for the First Term

9

Scholarships

4 years

Program Length



Program Educational Objectives

Bachelor of Science in Data Science Program Outcomes


Graduates
of the BS Data Science course are expected to:

  • Be proficient in statistical modeling and programming.

  • Unravel complex information.

  • Turn complex information into actionable insights.

  • Drive impactful solutions to complex problems in varying businesses

Career Opportunities

Business Intelligence Analyst

Business Analysts use data analytics skills to provide company leaders with actionable insights that can improve operations, marketing strategies, and overall performance. You’ll translate data findings into clear business recommendations to drive growth and efficiency.

Data Architect

As a Data Architect, you conceptualize and build the infrastructure that stores, manages, and processes large datasets. Your expertise ensures efficient data flow and accessibility for data scientists and analysts across the organization.

Data Scientist

High Demand

The most common profession after taking the BS Data Science course is as a Data Scientist. In this role, you evaluate vast datasets and solve business problems using analytical techniques. You’re the go-to expert for extracting insights from data to inform strategic decisions.

Machine Learning Engineer

As a Machine Learning Engineer, you design, develop, and implement machine learning models for specific applications, including product recommendations, fraud detection, or natural language processing. Your expertise focuses on building and optimizing these algorithms for real-world use cases.

Predictive Modeler

Pursuing a career as a predictive modeler specializes in building and deploying statistical models to forecast future trends and make data-driven predictions. Your models can be used for various purposes, such as risk assessment, customer behavior prediction, or market analysis.