tU dortmund university data science

Last Updated on December 24, 2022

TU Dortmund University Data Science is an internationally oriented and interdisciplinary research training group. Data Science is a rapidly developing scientific discipline that uses a variety of approaches from different scientific fields. This diversity allows us to approach problems from many different perspectives and to build up new disciplines as needed. Their open curriculum, international emphasis and cutting-edge research provide students with a unique opportunity to gain a core competence in their field and make this discipline their own.

Data science is a very fast-growing field today. Browse through the channels of popular social media sites and you will get to see that there are more and more people getting interested in this field, which is also earning popularity at a faster rate than ever before. The debate about whether data science degrees can compete with computer science degrees is still not clear, however, nearly all experts believe that it does come with an advantage as one has to master data techniques before starting out as an actual data scientist.

Right here on Collegelearners, you can rest assured to obtain valuable information on TU Dortmund University data science requirements, University of Mannheim data science, TU Dortmund data science deadline, etc. Take out time to visit our catalog for more information on similar topics.

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tU dortmund data science master


DegreeMaster of Science (M.Sc.)
FieldNatural Sciences and Technology
Standard program duration4 semesters
Admission restrictionsNone

tU dortmund university data science requirements

Short profile

Today, new knowledge in science, eco­nom­ics, management, and technology is created almost exclusively from large quantities of complex data. The ability to process such data competently and good academic train­ing in this area are in demand in the job market. The proper handling of patient or customer data, share prices and returns, and weather or climate in­for­mation is well paid and increasingly in demand.

The two-year Master’s program in Data Science builds on the Bachelor’s program of the same name and can be started in either the winter or summer semester. It is a joint proj­ect of the Faculties of Sta­tis­tics, Computer Science, and Mathematics, under the lea­der­ship of the Faculty of Sta­tis­tics.

Since the areas of res­pon­si­bi­li­ty in this field of work and re­search are constantly and rapidly changing, this course of study offers up-to-date train­ing as well as both in-depth statistical and mathematical theory and current methods and new knowledge. As a result, graduates are well equipped to carry out scientific work and are able to classify scientific findings critically and implement them responsibly.

The program consists of various mandatory and elective modules. A portion of the courses can be chosen by the students according to their own interests. All mandatory courses are offered in English; elective courses may be conducted in German.

Knowledge and skills

Graduates of a Bachelor’s program in data science, statistics, mathematics, computer science, or a related field can be admitted to this Master’s program (if necessary, after satisfying certain specified conditions). For this, the Bachelor’s degree must have been completed with at least a final grade of “good” (at least 2.5).

Understanding Analytics tools and their usage.

Professional fields

Graduates of this Master’s program are highly sought after by industry in a variety of areas (in­clu­ding pharmaceutical re­search, banking, insurance, software development, and private and public re­search institutes, as well as market re­search and business consulting), especially to handle projects with large amounts of data independently and responsibly.

Further in­for­mation

Those who would like to can spend one or two semesters at one of our numerous partner universities, studying for example in England, Spain, France, Italy, or Turkey. Long-term partnerships between TU Dort­mund Uni­ver­sity and these universities guarantee problem-free recognition of academic achievements during study abroad.

External internships can be done, for example, as part of the course Case Studies 2.\

English-taught Degree Programs

TU Dort­mund Uni­ver­sity is becoming more and more in­ter­na­tio­nal. More than 4,000 students from around 115 coun­tries are enrolled here; they make up about 11 percent of all 34,300 students. This is mirrored in the Uni­ver­sity’s course portfolio: TU Dort­mund Uni­ver­sity offers six master’s degree programs or master’s specializations that are conducted entirely in English. Contents, program structure and cooperation partners: Please find here all the most im­por­tant in­for­mation at a glance.

1. Automation and Robotics

Industry 4.0, artificial intelligence, automated driving and smart and collaborative robots have become omnipresent in science, re­search, and industry. These rapidly advancing technologies have a substantial impact on the economy, society, and all aspects of life: The robots of the fu­ture will collaborate with humans in the workplace and assist them in health care, rehabilitation, services, education, and entertainment. More than 450 graduates of the M.Sc. degree program “Automation and Robotics” are already actively engaged in shaping the fu­ture of robotics and automation in academia and industry.

Three small white robots, one in a black jersey, one in a yellow jersey, standing next to a indoor soccer field with the green TU logo in the background.

TU Dort­mund Uni­ver­sity invites national and in­ter­na­tio­nal students to join the two-year master’s program: During their studies, they will acquire theoretical knowledge in class, gain practical experience in the lab and in the frame­work of a six-month individual re­search proj­ect for their master’s thesis, and participate actively in re­search and development. 

The program is affiliated with the fa­cul­ties of Electrical Engineering and Information Technology, Mathematics, Mechanical Engineering, Computer Science, and Biochemical and Chemical Engineering. In addition, the Fraunhofer In­sti­tute for Material Flow and Logistics (IML) plays an active role in teaching and re­search, providing opportunities for student projects and master’s theses.

Studies start with compulsory subjects in the first semester in order to give students from different engineering disciplines an equal academic foundation in mathematics, programming, and the fundamentals of robotics and automation. The mandatory courses form the basis for the advanced, specialized courses in the second and third semester. Here, students elect courses from one of three specializations – robotics, process automation or cognitive systems.

2. Chemical Engineering – Specialization “Process Systems Engineering”

A male student wearing safety glasses holds a test tube with a blue liquid in his hands.

The specialization “Process Systems Engineering” in the M.Sc. degree program in Chemical Engineering enables students to work on the de­sign and operation of complex chemical and biochemical production systems using mathematical models and state-of-the-art computer tools for simulation and optimization. This includes advanced control and production scheduling methods and the analysis and description of experimental data.

Process Systems Engineering is a carefully planned course where students do not repeat core chemical engineering subjects, such as thermodynamics, mass transfer or heat transfer etc., but instead have the opportunity to study subjects such as process control or industrial automation. In addition, students can learn how to use specialist software, for example Aspen or GProms.

Students learn in a truly in­ter­na­tio­nal class and work together with peers from other coun­tries, cultures, and backgrounds. Joint work in tutorials, lab exercises and proj­ect groups broaden their horizons and enable them to interact professionally in in­ter­na­tio­nal teams and organizations.

The courses provide an education which is fundamental yet detailed as well as challenging both in terms of science and practice, while additionally focusing on soft skills and languages. Beyond a sound knowledge of engineering, students acquire a working knowledge of German and technical English and develop social skills through group projects and semi­nars. Graduates of this master’s program enjoy excellent employment prospects in both industry and higher education.

3. Data Science

The two-year M.Sc. degree program in Data Science builds on the Data Science B.Sc. degree program and can be started in either the summer or the winter semester. It is run jointly by the Departments of Sta­tis­tics, Computer Science, and Mathematics and provides a sound basis in statistical and mathematical theory as well as teaching contemporary methods and knowledge. As a result, graduates are capable of working scientifically and of reflecting critically on scientific findings and implementing them responsibly.

White, light blue and dark blue points connected by golden lines on a black background

The ability to communicate methods and their application at an inter­dis­ci­plin­ary level, especially at the interface between statistics, computer science, mathematics and their fields of application, is a key aspect of the program.

Students who have already completed a B.Sc. program in statistics, mathematics, computer science or a related field may be admitted to this master’s program (possibly with certain restrictions). All mandatory courses are taught in English, elective courses in German may be offered.

Building on preceding studies, the advanced courses cover statistical theory, statistical learning, big data, and the application of methods in chosen areas of study. Emphasis is placed on the development and application of efficient procedures for analyzing in particular very large amounts of data. On the one hand, the English-lan­guage program prepares national students for in­ter­na­tio­nal positions and, on the other hand, it gives in­ter­na­tio­nal students the opportunity to gain a foothold in Germany.

Please note that the B.Sc. program „Data Science“ is taught in German.

4. Econometrics

A laptop with mathematical formula shown on its screen on a white desk next to a coffee mug, pencils and documents.

Econometrics is a four-semester master’s degree program offered by TU Dort­mund Uni­ver­sity, Ruhr-Uni­ver­sity Bochum and the Uni­ver­sity of Duisburg-Essen. The program is run jointly by the eco­nom­ics departments of the three universities and the Department of Sta­tis­tics at TU Dort­mund Uni­ver­sity. It com­bines the ex­per­tise and breadth of the participating departments in eco­nom­ics and empirical economic re­search with the methods-oriented train­ing of the statisticians and econometricians at Germany’s only statistics de­part­ment.

Students acquire the ability to combine methodological skills with ex­per­tise in eco­nom­ics. They gain ex­ten­sive knowledge of econometric methods and models and an in-depth understanding of central economic causal relationships and the resulting econometric outcomes. The program particularly helps students interested in re­search to develop the analytical skills needed to address specific re­search questions in eco­nom­ics and thus prepares them well for doctoral studies in econo­met­rics or neighboring disciplines. The program is also excellent preparation for a career in econo­met­rics, empirical economic re­search, evidence-based policy consulting or operational re­search.

Most modules consist of several courses which may be chosen according to students’ individual interests. Core courses address key concepts in statistical theory, econo­met­rics and time series analysis. The core curriculum also teaches skills in proj­ect management, consulting, and applied re­search. A large portfolio of electives and semi­nars on specialized topics enables students to deepen their knowledge in selected fields of econometric theory and applied economic re­search, e.g., health eco­nom­ics or financial econo­met­rics.

Graduates receive a joint M.Sc. degree from the four participating departments.

tU dortmund university data science dAAD

The rise of data science and related technologies is so significant that universities across the world have started offering Master’s programmes in Data Science. Germany is one such nation that has become really popular for the MS courses it provides for the data science enthusiasts.

TU Dortmund University is considered as one of the leading private universities in Germany. This university is a member of the German Rectors’ Conference which is an association of the presidents of Germany’s public and private universities. The university has a partnership with the Technical University of Darmstadt and many other prestigious universities like UC Berkeley, Yale University, and Harvard University for name sake.

tU dortmund university ranking

TU Dortmund University is ranked 401 in World University Rankings by Times Higher Education and has an overall score of 3.9 stars, according to student reviews on Studyportals, the best place to find out how students rate their study and living experience at universities from all over the world.

tU dortmund data science fees

In Germany, all public universities are free of tuition fees. Since TU Dortmund University is a public institution there is no tuition fee for the MMT. However, students are requested to pay a social contribution fee.

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