Predictive Modeling and Machine Learning with MATLAB

MathWorks is the developer of MATLAB and Simulink, widely used platforms for numerical computing, data analysis and model-based design, with a strong presence in engineering, science and finance. Founded in 1984 and supporting academic users worldwide, MathWorks partners with universities to deliver software licenses, curriculum resources and training that integrate computational tools into teaching and research. Its products are standard in coursework ranging from signal processing to machine learning and control systems.

For students and faculty, MathWorks provides academic licensing options, online tutorials, example code and instructor resources that make it easier to adopt computational workflows in classes and projects. Simulink supports system-level simulation for automotive, aerospace and robotics applications while MATLABs toolboxes enable advanced analysis in statistics, optimization and deep learning. MathWorks also offers certification, workshops and campus training that help students build practical skills sought by employers.

International students benefit from abundant learning materials, community forums and access to university-supported licenses that enable portfolio projects, research and internships. Familiarity with MATLAB and Simulink can enhance employability in engineering and data-driven roles and supports collaboration across disciplines. For learners seeking hands-on computational experience, MathWorks tools and academic programs provide a bridge between coursework and real-world technical practice.

This program is for students who want to learn about predictive modeling and machine learning with MATLAB. It's a non-degree program that lasts several weeks and is taught in English. You'll learn from experts at MathWorks in the Philippines and gain practical experience in data analysis and modeling.

The curriculum covers subjects like data preprocessing, feature selection, and model evaluation. You'll develop skills in programming languages like MATLAB and learn how to apply machine learning algorithms to real-world problems. The program includes hands-on components where you'll work on projects and exercises to help you understand the material.

After completing this program, you can pursue careers like Data Scientist, Machine Learning Engineer, or Business Analyst. You can work in industries like finance, marketing, or healthcare. Employers like consulting firms, tech companies, or research institutions may hire you to help them develop and implement predictive models and machine learning systems.