Technical University of Munich

Overview

The Electronics and Data Engineering program is a four-year joint Bachelor of Engineering with Honours offered by the Technical University of Munich (TUM) and the Singapore Institute of Technology (SIT). This program equips students with a robust understanding of electronics and semiconductor technologies while integrating data analytics and machine learning into real-world engineering applications.

What you'll study

The curriculum is designed to establish a solid engineering foundation, progressively incorporating data and intelligent methodologies into electronics and connected systems. Students will engage in core technical modules, data/AI modules, and honours-level academic work.

Core technical modules (examples)

• Bioelectronics
• Industrial Electronics
• Semiconductor Fabrication
• Internet of Things (IoT)
• Automation and Robotics

Data and intelligent systems (examples)

• Data Analytics
• Machine Learning

Honours component

The honours pathway includes an extended academic component, such as an honours project or capstone work, where students apply engineering and data methods to structured problems under academic supervision.

Note: Module availability and sequencing may vary; please refer to the official program plan for the most accurate semester-by-semester timetable.

Entry requirements

Applicants are expected to meet general requirements that include:

• A full-time diploma from any recognized local polytechnic is welcomed. Strong preparation in Mathematics and Physics is encouraged.
• Applicants with GCE 'A' Levels are eligible. Equivalent qualifications that fulfill a completed 12-year education may also be considered.

Documents typically required: academic transcripts and certificates, proof of English proficiency, and a completed application form.

Career prospects

Graduates of the Electronics and Data Engineering program possess the skills and knowledge necessary to pursue various career paths in engineering, technology, and data analysis. Potential career opportunities include roles in electronics design, data engineering, automation, and research and development, among others. The demand for professionals with expertise in both electronics and data science continues to grow, opening up a wide range of possibilities in diverse industries.