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Data Science
Schwarzenberg-Campus, Hamburg, Germany
Computer Science and Information SystemsMain Subject Area
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Data Science is an interdisciplinary field that uses statistical and computational methods to extract knowledge and insights from large and complex datasets. It combines elements of computer science, mathematics, and domain-specific knowledge to develop data-driven models that are used to develop applications such as speech recognition, object recognition, and automation systems in healthcare or the automotive industry.
The international master's program in Data Science at TUHH builds on the bachelor's program in Data Science and offers a scientifically oriented study program that teaches theory and methods that are required to create the digital applications of tomorrow.
STRUCTURE
The program is organized as a two-year program (four semesters) and begins each year in October. It consists of two and a half semesters of lectures and lab courses and one and a half semesters devoted to working in a research team (project work) and writing the master's thesis. The curriculum offers a lot of freedom to set your own focus in the field of data science. The academic degree of Master of Science is awarded. The language of study is English.
The curriculum of the master's program in data science is structured as follows:
Project work and master’s thesis:
Can be done at different institutes of the TUHH and allow to work on a research-oriented project.
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Data Science is an interdisciplinary field that uses statistical and computational methods to extract knowledge and insights from large and complex datasets. It combines elements of computer science, mathematics, and domain-specific knowledge to develop data-driven models that are used to develop applications such as speech recognition, object recognition, and automation systems in healthcare or the automotive industry.
The international master's program in Data Science at TUHH builds on the bachelor's program in Data Science and offers a scientifically oriented study program that teaches theory and methods that are required to create the digital applications of tomorrow.
STRUCTURE
The program is organized as a two-year program (four semesters) and begins each year in October. It consists of two and a half semesters of lectures and lab courses and one and a half semesters devoted to working in a research team (project work) and writing the master's thesis. The curriculum offers a lot of freedom to set your own focus in the field of data science. The academic degree of Master of Science is awarded. The language of study is English.
The curriculum of the master's program in data science is structured as follows:
Project work and master’s thesis:
Can be done at different institutes of the TUHH and allow to work on a research-oriented project.
Tuition fee and scholarships
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
More programs from the university
Master PG
TUHH provides 13 English language master's programs and 15 german language master's programs with the degree Master of Science (M. Sc.). Please see here for an overview:
https://www.tuhh.de/tuhh/en/studying/before-studying/degree-courses/masters-programs
REQUIRMENTSGeneral Entrance requirements: A first final degree issued by a higher education institution (university e. g. / degree Bachelor of Science e. g.) and language skills (for further details please have a look at the relative course of study).
Subject-specific prior knowledge and competences are essential in view of the various requirements of our master’s programs. For information about the prior knowledge required for the individual master’s programs please see here:
https://www.tuhh.de/tuhh/en/studying/before-studying/application/master-in-german/requirements-for-master-courses
LANGUAGE PROFICIENCY
Information on language proficiency:
https://www.tuhh.de/tuhh/en/studying/before-studying/application/master-in-german/language-proficiency
APPLICATION
Step by step application for a master's degree program:
https://www.tuhh.de/tuhh/en/studying/before-studying/application/master-in-german
Business and Management (3)
Global Technology and Innovation Management & Entrepreneurship (GTIME)
Engineering and Technology (3)
Chemical and Bioprocess Engineering
Computer Science
Data Science
Electrical Engineering
Environmental Engineering
Information and Communication Systems
Joint Masters in Ship & Offshore Technology
Mechanical Engineering and Management
Mechatronics
Microelectronics and Microsystems
Natural Sciences (3)
Joint Master Interdisciplinary Mathematics
FAQs