Precourse Mathematics for Management & Technology

You are starting the Bachelor's program Management and Technology (at the main campus Munich) at TUM? Then the Precourse Mathematics is the ideal preparation for you. The course is not mandatory for your studies. However, it is highly recommended.

Organizational matters


The precourse mathematics for the Bachelor's program Management and Technology takes place from October 2 until October 13, 2023 (except on October 3 as this is an official holiday). A course day is structured as follows:

  • 08:00 to 10:15: lecture in English
  • 10:45 to 13:15: tutor exercise in English
    (Most tutors are multilingual and of course always try to help.)

The precourse will take place on site at the Main Campus Munich (downtown). However, there will be recordings of the lectures available. Further information will be published on Moodle (see below).


Registration for the precourse starts on August 23, 2023.

If you want to participate in the precourse, please register via the campus management system TUMonline. Log in with your login data and then click on "Go to course registration".

Please note: You can only register in TUMonline – even after admission, acceptance of a study place and payment of the semester fees – once the Student Admission Office has checked all relevant documents and set them to "ok". A letter symbol in your applicant account means that documents have been received by the Admission Office but have not yet been checked. In this case, please wait until a green tick icon appears.

Precourse documents – Moodle

With the registration you also have access to the Moodle course of the precourse. There you will find all teaching materials and further information about the precourse. Please note that we do not send any material via email.


In the Precourse Mathematics we repeat essential topics from school mathematics. The focus areas are:

  • Statements and Sets
  • Functions and Inequalities
  • Elementary Operations Real Numbers
  • Trigonometry
  • Vectors
  • Matrices and Linear Systems of Equations
  • Polynomials and Rational Functions
  • Differentiation
  • Integration