Data Scienсе
- Starting
- Both semesters
- Mode of admission:
- without admission restriction
- Application:
- uni-assist: students from Non-EU/EEA Countries (minus Switzerland)
- Study mode:
- On campus
Program Video
Data Science (M.Sc.) at TU Dortmund University
Five Reasons to choose this Master's Program
Course Description
Dive into the cutting-edge world of Data Science with TU Dortmund University's M.Sc. program, a unique blend of expertise from Statistics, Computer Science, and Mathematics departments. This two-year journey, commencing in either summer or winter, is more than just a degree—it's a gateway to mastering the art of scientific research in a rapidly evolving field. With a curriculum designed to foster scientific acumen and responsible application of skills, students are primed to excel at the forefront of technological innovation. The program not only imparts advanced knowledge but also hones the critical ability to communicate across interdisciplinary domains, making our graduates the future leaders in Data Science.
Special Program Features
Pioneering Statistical Research
The M.Sc. in Data Science is a joint project of the Departments of Statistics, Computer Science, and Mathematics, offering a rich, interdisciplinary educational environment. Additionally, TU Dortmund's statisticians excel in creating new models and methods across various fields, supported by robust collaborations with experts and a dedicated research center.
Flexible Internship Options
Students have the option to replace certain course components with external internships, providing practical industry experience. This flexibility allows for a tailored educational journey that aligns with individual career goals.
Dortmund: A Vibrant Science and Study Destination
Studying in Dortmund offers a unique experience where academic rigor meets urban vitality. The city is not just a cultural and educational hub but also a center for scientific innovation, providing students with a stimulating environment to pursue their academic and research goals.
Requirements
Qualification Requirements
The application requirements for the study program in “Data Scienсе” are:
Eligibility Criteria:
- Completion of a Bachelor's degree in Data Science from TU Dortmund University.
- Alternatively, a Bachelor's degree from a German university (or a comparable degree from a foreign university) in a field related to computer science, statistics, or mathematics.
Requirements Defining a Related Degree:
- At least 44 credit points in core areas of mathematics, computer science, and statistics, with at least 8 credit points in mathematics and computer science and at least 4 credit points in statistics. Here, credit points refer to the European ECTS system; other credit systems must be converted accordingly.
- Core areas of the three fields are defined as follows: computer science: algorithms, data structures, programming, and software engineering. Mathematics: analysis, algebra, equations, discrete mathematics, numeric. Statistics: descriptive statistics, probability theory, inference, stochastics.
- Additional credits in databases and data modeling.
Conditional Admission:
- In general, admissions to the program are unconditional. Depending on the content of your Bachelor’s degree, you might be required to complete specific additional modules after enrοllmеnt.
Self-Assessment Test
- In order to self-check the level of your prior knowledge, the study program has a Self-Assessment test uploaded to its website. It is mandatory to do this test. It is designed to help you to decide whether your prior knowledge is sufficient to compete in the Master’s program. It is only mandatory to do the test, you do not have to upload your solutions, there is even a sample solution available online.
Self-Disclosure
- In order for you to self-check whether you fulfill the application criteria, you can fill out a Self-Disclosure document. However, the content of the completed document will not be evaluated during the application process; it is just meant for you as a self-check.
Statistical Task
- As an additional proof of your prior knowledge, you have to hand in a report for a given statistical task. The tasks change from semester to semester and is usually a small up-to-date data set that you have to analyze using basic statistical methods. You should put some serious effort into solving the task and writing the report since the admission decision is highly based on the quality of your reрοrt.
The final grade of the Bachelor's degree previously reviewed for application is at least "good" (2.7) in the German systеm.
Language Requirements
The following certificates are recognised as proof of your language proficience.
EnglishApplication & Admission
Application Deadlines
Locked
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(starting: October)
(starting: April)
Germany
Another EU Country
Rest of the world
Application Procedure & Selection
For the application via uni-assist: € 75 for the first application, € 30 for each additional
Application Documents
A statistical report, as proof of technical expertise, must be included with applications. Details are in "Summer 2024 Task."
B.Sc. Data Science graduates from the institution are exempt.
Students from Computer Science, Mathematics, and Statistics at TU Dortmund University should consult the Statistics Student Advisory Service before transfеrring.
The self-disclosure document must be completed and signed twice at the еnd.
Completion of the Online Self-Assessment Test is required. The test score does not affect admission. Confirmation is provided in the self-assessment documеnt.
Location
Further Information
Your Personal Contact
Prof. Dr. Andreas Groll
Field Statistical Methods for Big Data
TU Dortmund
Vogelpothsweg 87, Room 211
For more information please check the
Course Website