Applications are open! Apply until 15 January for German-language Master’s programs and selected English-language Master’s programs starting in the summer semester.

Admission Requirements

Applicants should hold a Bachelor's or equivalent degree in a Data Science programm - or an equivalent programm with sufficiently strong background in computer science and mathematics - and must show a very good previous academic performance as well as sufficient proficiency in English.

Please read all the required documents and specific requirements for your preferred course of studies intensely and before starting an application

1. List of all required documents (incl. language certificates) for application.

2. Specific requirements for    

3. Recommended preparatory test

To estimate if you have the necessary knowledge to successfully finish your Data Science Master studies at Hamburg University of Technology, we strongly recommend taking the preparatory MINTFIT test. The test contains questions from five different categories specifically built for the purposes of this program: 1. Databases / Big Data, 2. Mathematical Preliminaries for Machine Learning, 3. Elements of Machine Learning, 4. Probability and Statistics, and 5. Programming.

Note: You can take the tests anonymously, i.e., just select “Anonymous – without login” on the MINTFIT landing page. The results are not forwarded to the selection committee, but if you have trouble with one or more of the categories, you may not have the necessary theoretical and technical skill set needed to be successful. The knowledge required in the test is the absolute minimum to successfully study the Master's program in Data Science at Hamburg University of Technology.

For TUHH Bachelor graduates

Internal graduates of the following TUHH-Bachelor's programs can continue their studies in the Data Science Master consecutively:

  •  Computer Science (B.Sc.)
    •  the following modules are recommended: Statistics or Numerical Mathematics, Machine Learning I
  •  Data Science (B.Sc.)
  •  Computer Science in Engineering (B.Sc.)
    • the following modules are recommended: Machine Learning I
  •  Allgemeine Ingenieurwissenschaften - Vertiefung Informatik (B.Sc.)
    • the following modules are recommended: Programming Paradigms or Computer Science for Engineers II, Machine Learning I
  • Allgemeine Ingenieurwissenschaften - Vertiefung Data Science (B.Sc.)
  • Engineering Scince - Specialization Data Science (B.Sc.)
  • Technomathematics (B.Sc.)
    • the following modules are recommended: Algorithm and Data Structures, Machine Learning I

► Please note language requirements

Notes for TUHH students