User certificate

As a student or employee/guest of TUM, you can easily generate a user certificate for your TUM email address(es) via TUMonline.

This certificate can be used to sign emails, but also PDF documents and other data. It is provided by GEANT (https://geant.org/) and can be generated automatically.
To do so, please select the item Email Addresses in TUMonline and scroll down to the item “Email Certificates”. Then select the e-mail address for which you need an e-mail certificate.
Click on “Request certificate” and an e-mail will be sent to you, which you can then use to retrieve the certificate.

Abbildung zeigt ein Zoom-Meeting

Zoom – Migration to Telekom tenant

TUM has extended its contract with Zoom for another year, switching to the new contract partner Telekom.

Appointment portal online

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Appointments to new professorships can now be managed and advertised via TUM’s new appointment portal.

Digital statutes and regulations

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Statutes can now be published purely digitally due to a legal amendment in the Higher Education Innovation Act (HIG).

Travel management with BayRMS

Since January 2023, BayRMS has been available as a digital system for requesting and billing short domestic trips.

Vulnerability scans on all IT systems

Our IT security team has started to scan all of TUM networks for security vulnerabilities within our systems using the Greenbone Security Assitant.
die Abbildung zeigt einen Screenshot des TUM Roomfinders

New TUM Roomfinder

The new Roomfinder is available at https://nav.tum.de and replaces the previous, very outdated Roomfinder.

Koinon IT Portals available for all schools

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Koinon (from ancient Greek community, commonwealth, or federation) is a portal for the digitalization of administrative processes at schools.

Generate your user certificate on your own

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As a student or employee/guest of TUM, you can easily generate a user certificate for your TUM email address(es) via TUMonline.

Data science storage available to all scientists

LRZ’s Data Science Storage (DSS) is a novel approach at LRZ to solve the demands and requirements of data-intensive science.