Introduction to MATLAB

The Technical University of Munich (TUM) is one of Europe’s leading research universities, with a long tradition of innovation since its founding in 1868 and campuses across Munich and beyond. TUM’s reputation for excellence in engineering, natural sciences, medicine and business is backed by extensive partnerships with industry and research institutions globally. As a research-driven and entrepreneurial university, TUM attracts a large international student body and offers a stimulating environment for ambitious learners.

TUM provides a broad spectrum of degree programs at undergraduate, graduate and doctoral levels, emphasizing interdisciplinary research and practical application. Students benefit from state-of-the-art laboratories, integrative research centres and strong ties to technology firms and start-ups. The university’s approach combines rigorous theoretical foundations with hands-on projects, fostering skills that are highly valued by employers in Europe and worldwide.

International students are well supported through dedicated services, English-language programs at the master’s and doctoral levels, and a vibrant campus life in Munich, a city known for its cultural offerings and strong economy. Career services, industry internships and entrepreneurship support help students transition from study to professional roles. For those seeking world-class research opportunities, practical industry engagement and a cosmopolitan German campus experience, TUM is a compelling choice.

The Introduction to MATLAB program is a non-degree course for students who want to learn MATLAB skills. It's a 1-week online program taught in English at the Technical University of Munich in Germany. This program helps students gain a solid foundation in MATLAB.

The curriculum covers the basics of MATLAB, including programming and data analysis. Students will develop skills in writing MATLAB code, working with data, and creating visualizations. The program includes hands-on exercises to help students practice their new skills.

After completing this program, students can pursue careers as Data Analysts, Research Assistants, or Software Developers. They can work in industries such as engineering, finance, or scientific research. Potential employers include tech companies, research institutions, or government agencies.