Data Science Hamburg University of Technology

Overview

The Master’s programme in Data Science at Hamburg University of Technology (TUHH) is an interdisciplinary course that merges statistical analysis with computational techniques to derive insights from extensive and intricate datasets. This programme integrates aspects of computer science, mathematics, and specialised knowledge to develop data-driven models employed in various applications, including speech and object recognition, as well as automation systems in sectors such as healthcare and automotive industries.

TUHH is renowned for its strong academic reputation and innovative research initiatives. The university boasts state-of-the-art facilities and a collaborative environment that fosters partnerships with industry leaders and academic institutions. This enables students to gain practical insights and experience, preparing them for the demands of the data science field.

The tuition fees for the Data Science programme are as follows:

• International Students: EUR 0 per year
• European Students: EUR 0 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The structure of the Data Science programme spans four semesters and includes a blend of lectures, lab courses, and project work. The curriculum is designed to provide students with the flexibility to focus on their areas of interest within data science. The programme comprises the following components:

• Core Qualification: Modules that cover the fundamental principles of data science.
• Specialisations: Three distinct areas of focus, including data science & mathematics, computer science, and practical applications.
• General Qualification: Courses on non-technical subjects, including business management, advanced ethics, research methodologies, and seminars.
• Project Work and Master’s Thesis: Opportunities to engage in research-oriented projects at various TUHH institutes, culminating in the completion of a master’s thesis.

Graduates of the Data Science programme are well-prepared for careers in research and development across academic and industrial settings. Data scientists typically manage and analyse large datasets, employing algorithmic processing and feature extraction. They often work within interdisciplinary teams, staying abreast of the latest advancements in this dynamic field. The comprehensive nature of the programme also opens pathways for further academic pursuits, such as doctoral studies.