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Master of Science in Data Science

TU Dortmund University· Dortmund

Applied Mathematics — ریاضیات، علوم طبیعی

زبان‌های تدریس
English
شروع
Winter semester, Summer semester
مدت
۴ نیم‌سال
شهریه
بدون شهریه
هنوز بررسی نشده

برای بررسی، دکمهٔ «دریافت اطلاعات از سایت دانشگاه» را بزن.

شرایط زبان، مدارک، مهلت‌ها و هزینه‌ها مستقیم از وب‌سایت دانشگاه استخراج و با رنگ متمایز به تب‌ها اضافه می‌شود.

Degree
Master of Science in Data Science
Course location
Dortmund
Teaching language
• English
Languages
All compulsory courses and most elective courses are taught in English, allowing you to complete the entire programme in English. If you have sufficient language skills, you may also choose to take courses offered in German. German language skills are not required for the programme. However, since everyday life in Germany is easier with some knowledge of the language, we recommend learning basic German. To support this, our department offers introductory German courses.
Full-time / part-time
• full-time
Programme duration
4 semesters
Beginning
Winter and summer semester
Additional information on beginning, duration and mode of study
• If you do not manage to come to campus in time (e.g. because of a missing visa), you will not be excluded from the programme. However, most courses are taught in person, and the courses will not wait for you if you join late. You have to join in person for the exams at the latest. • We offer cross-semester admission, i.e. our admission letters are usually valid for three semesters. Please find more information here (https://international.tu-dortmund.de/en/international-applicants/enrollment/cross-semester-admission-and-enrollment/). • The official programme duration is four semesters. However, international students should plan in at least one extra semester, since getting started in a new country and in a new programme will require some time.
Application deadline
For international applicants, the application periods are: • for starting in the summer semester from approx. 18 No­vem­ber to 15 January (cut-off period) • for starting in the winter semester from approx. 1 January to 15 June (cut-off period) Note that the starting dates are approximate dates, due to technical reasons the online portal may open a few days later. Applicants who completed their Bachelor's degree within Germany do not count as international applicants and, hence, other deadlines apply.
Tuition fees per semester in EUR
None
Combined Master's degree / PhD programme
No
Joint degree / double degree programme
No
Description/content
The two-year Master's programme in Data Science is built on the Data Science BSc programme and can be started in either the summer or winter semester. It is a joint project of the Departments of Statistics, Computer Science and Mathematics. As the tasks are always rapidly changing in this research field, the study programme provides a sound statistical and mathematical theory and teaches contemporary methods and knowledge. Hence, the students learn to be capable of doing scientific research. They develop scientific awareness and can use it responsibly. The interdisciplinary ability to communicate about methods and their applications, especially at the interface between statistics, computer science, mathematics and fields of application, is a key aspect of the study programme. Our programme builds on our six-semester Bachelor's in Data Science (taught in German). Unlike many other MSc Data Science programmes that devote the first semester to revisiting foundational topics in mathematics, statistics, and computer science, we do not offer a dedicated review semester. This is because our students join the programme with a strong background from our Bachelor's curriculum. As a result, we expect incoming students to have solid prior knowledge. If you find gaps in your understanding, it is your responsibility to address them independently. The advantage of this approach is that we can focus more of the programme on specialised Master’s-level content. Our curriculum places particular emphasis on advanced statistics, with a strong focus on the development of underlying statistical theory.
مهلت درخواست
  • ۱۵ ژانویهٔ ۲۰۲۷ورودی نیم‌سال تابستان
  • ۱۵ ژوئن ۲۰۲۶ورودی نیم‌سال زمستان — مهلت این دوره گذشته
مشاهدهٔ صفحهٔ اصلی دوره وب‌سایت دوره
تماس

TU Dortmund University

Department of Statistics

Dr Daniel Horn

44227 Dortmund

dhorn@statistik.tu-dortmund.deوب‌سایت دوره