Training in Research Data Management and Data Science

News

New learning experience: Hacky Hours!

Hacky Hour coworking and peer-learning sessions are designed to provide a space and time for data enthusiasts to focus on their projects and commit to building their data skills.

How it works:
Each online session lasts 90 min and follows the same structure: 1. Introductions and group-building for focused work or peer-learning (5-10 min), 2. Coworking session in groups (focused work or peer-learning, 75 min), and 3. Wrap-up and progress reflections (5 min).

Why take part?
Hacky Hours are ideal for anyone seeking a burst of productivity in a structured, yet flexible environment. Early Career Researchers profit from sharing and growing their data skills in a supportive, interdisciplinary community.

Next Hacky Hour: January 29, 2026 | 14:15-15:45 CET | Zoom

..:: Register here

© natrot/adobe.stock.com (farblich adaptiert)

Certificate of Advanced Studies

The U Bremen Research Alliance has elevated the interdisciplinary training program for research data management and data science "Data Train" to the next level. From 2026, the program will be offered as "Data Train Advanced" in cooperation with the University of Bremen's Academy of Continuing Education and will provide a new, higher qualification certificate: the Certificate of Advanced Studies. This certificate is a significant milestone in the career of researchers and will be particularly valuable in the context of the shortage of professionals with data competencies. Read our press release for more information.

Those who do not want to commit to a certificate but still want to develop their data competencies can continue to participate in the regular training program "Data Train" which remains a free offer.

Registration for the Certificate of Advanced Studies program Data Train Advanced can be found at: https://www.uni-bremen.de/data-train-advanced (Deadline: 31 December 2025).

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Current Tracks

 

Starter Track

Schedule: January to June 2026

Registration: Open

Data Train Curriculum

Starter Track

The Starter Track lectures (Level 1 “Understand”) transmit a generic knowledge in research data management and data science. This track is designed for anyone who wants to get started in data literacy.

Schedule: February to June 2026

Registration: From January 2026

To the courses!

Operator Track 'Data Scientist'

Data science is concerned with extracting information and gaining knowledge from data using computational analysis methods. In the hands-on workshops of the Operator Track ‘Data Scientist’, participants learn mathematical and statistical methods, artificial intelligence applications, computer science concepts for data analysis and data visualization skills.

Schedule: July to December 2025

Registration: Now open

To the courses!

Operator Track ‘Data Steward’

The Operator Track ‘Data Steward’ teaches essential competencies for efficient data handling in accordance with the „FAIR data principles“ (Findable, Accessible, Interoperable and Reusable). The track includes hands-on workshops on programming languages, data management plans, reproducibility, data preparation, data processing and database skills.

Schedule: July to December 2026

Registration: From Spring 2026

To the courses!

"Data is the currency of the 21st century.
We need to invest this currency better to manage and grow our wealth of knowledge."

Dr. Arjun Chennu, Data Train lecturer

Group Leader "Data Science and Technology", Leibniz Centre for tropical Marine Research

Cooperating in Data Train

Universität Bremen
Max Planck Institute for Marine Microbiology
Leibniz Institute for Material-Oriented Technologies
Leibniz Institute for Prevention Research and Epidemiology
Leibniz Centre for Tropical Marine Research
Fraunhofer Institute for Medical Image Computing
Fraunhofer Institute for Wind Energy Systems and Energy System Technology
Fraunhofer Institute for Manufacturing Technology and Advanced Materials
German Maritime Museum
German Aerospace Center – Institute of Space Systems
In­sti­tute for the Pro­tec­tion of Mar­itime In­fras­truc­tures
German Research Center for Artificial Intelligence
Alfred Wegener Institute
DLR IMF