Electronics and Data Engineering

Developed in response to the growing demands of the Singapore and global electronics industry, the unique programme combines electronics and data engineering concepts to equip students with the necessary skillsets for the digital workforce. Students will be equipped with the fundamentals of electronics and emerging technologies to revolutionise electronics manufacturing operations. Some examples of the emerging technologies covered in the syllabus include AI, IoT, data analytics, robotics and automation.

Please refer to the course structure here.

The language of instruction for this program is English.

Graduates from this programme will be equipped with deep knowledge in semiconductor physics and circuit design, along with intensive mathematics for data science and machine learning.

Leveraging on TUM's expertise in areas such as Semiconductor Physics, Circuit Design and Sensors and Power Electronics, students can apply emerging digital technologies set to revolutionise the electronics and semiconductor manufacturing industry.

WHAT ARE THE STEPS OF THE APPLICATION PROCESS?

To apply for the joint SIT– TUM bachelor degree programmes, you are to login to the application portal of our partner university (Singapore Institute of Technology, SIT), available from mid-January to March every year.

WHAT ADMISSIONS REQUIREMENTS DO I NEED TO FULFILL?

Eligibility and Exemption:

FOR POLYTECHNIC DIPLOMA HOLDERS
Diploma holders from any of the five local polytechnics are welcome to apply. Applicants with a strong proficiency and interest in Mathematics and Physics are encouraged to apply.

FOR GCE ‘A’ LEVELS HOLDERS & INTERNATIONAL STUDENTS
Applicants who graduate with GCE ‘A’ Levels qualifications are eligible to apply for the Electronics and Data Engineering degree programme. Students with other qualifications (completed a formal 12-year education equivalent to A-Levels) are eligible to apply as well.

A-Level Prerequisites:

Subject Requirement(s):

• A Level A/H2 Mathematics, and a A/H2 Science subject (Biology, Chemistry or Physics)
• OR IB HL Mathematics, and a IB HL Science subject (Biology, Chemistry or Physics)
• Obtained a pass in General Paper or Knowledge & Inquiry in the same sitting, while satisfying Mother Tongue Language* requirements.

*GCE A Level/IB applicants need to fulfil the language requirements as stipulated by the German Higher Education System

*GCE A Level applicants must have taken two language subjects, out of which one must be at H1 to fulfil the language requirements as stipulated by the German Higher Education System. If you have been exempted from taking MTL for your GCE A Level, you can retake the subject to fulfil the language requirements. For further enquiries on the language requirements, please contact TUM Asia Admission Office at admission(at)tum-asia.edu.sg.

For more information on the application procedure and required documents, please visit TUM Asia.

List of supporting documents required for application

For more information on the application procedure and required documents, please visit TUM Asia.

To apply for the joint SIT– TUM bachelor degree programs, you are to login to the application portal of our partner university (Singapore Institute of Technology, SIT), available from mid-January to March every year.

For more information, please click here.

Singapore Institute of Technology (SIT) and Technical University of Munich (TUM) will consider all applicants holistically, including the applicant’s relevant work experience. All shortlisted applicants will be interviewed.

• For further information please contact TUM Asia

The online application takes place through the TUM Asia online application portal.

The Integrated Work Study Programme (IWSP) allows students to work full-time in a host company for eight months, blending theory and practice to obtain valuable industrial know-how. Students will have the opportunity to work with local or overseas companies that offer exposure to relevant fields such as circuits, systems, products experimentation, data analysis and simulation.