Students
مصاريف
غير متاح
تاريخ البدء
2027-03-01
وسيلة الدراسة
في الحرم الجامعي
مدة
غير متاح

لقد شاهدت 2/5 برامج/جامعات. يمكنك مشاهدة حتى 5 برامج/جامعات

أنشئ حساباً مجانياً لفتح المحتوى الكامل!

بالتسجيل، فإنك توافق على بيان الخصوصية و الشروط والأحكام.

حقائق البرنامج
تفاصيل البرنامج
درجة
ماجستير
تخصص رئيسي
الذكاء الاصطناعي | علوم البيانات | هندسة البرمجيات
التخصص
تقنيات المعلومات والاتصالات | الرياضيات والإحصاء
نوع التعليم
في الحرم الجامعي
توقيت
لغة الدورة
إنجليزي
دفعات
تاريخ بدء البرنامجآخر موعد للتسجيل
2027-03-01-
عن البرنامج

نظرة عامة على البرنامج


Master's Programs

The University of Vienna offers several master's programs, including:


  • Master - Business Analytics
  • Master - Data Science
    • Admission - Data Science
    • Studying - Data Science
    • Mathematical Foundations of Data Science (Bachelor Programme)
  • Master - Digital Humanities

Admission to the Master's Program in Data Science

The application period for the academic year 2026/27 is from March 2 to April 7, 2026.


Application Procedure

To apply, students must submit their application during the specified period. The application is free of charge.


Selection Procedure

After a formal check by the Admission Office, all applications are reviewed and evaluated by a committee of faculty members. The committee creates a rank-ordered list based on the qualifications and backgrounds of the applicants.


Requirements

There is no minimum grade point average (GPA) required for admission. However, students must have a strong foundation in mathematics, statistics, and/or computer science.


Language Requirements

The Master's program in Data Science is taught entirely in English. Students must have a recognized proof of English proficiency, with a minimum level of B2.


Program Structure

The program is designed for full-time students, with classes offered throughout the day. While it is possible to hold a job in parallel to progressing through the program, it is not recommended.


Research Areas

The Master's program in Data Science is research-oriented, with many options to explore applied fields. Students have the opportunity to work with companies and solve real-world problems as part of their thesis.


Interdisciplinary Approach

The program provides an interdisciplinary component with Business Analytics and Digital Humanities, setting it apart from other Master's programs in Computer Science with a specialization in Data Science.


Career Opportunities

While there are no systematic internships available, students have the chance to cooperate with companies during formats such as the Data Science Project. The program also provides a foundation for pursuing a PhD in Data Science, with the advantage of being tied to the Research Network Data Science.


Frequently Asked Questions

  • What programming language is most commonly used in the program? Python is the primary programming language used, although R is also taught and used in some courses.
  • Is it possible to apply with a non-CS related Bachelor's degree? Yes, but students must have a strong foundation in mathematics, statistics, and/or computer science.
  • Can I start in the summer semester instead of the fall semester? Yes, but it is recommended to start in the fall semester, as not all classes are offered in each semester.
  • How many students will be accepted for the program? Each academic year, there are 40 places available.
  • Is there a possibility to receive the admission letter before the graduation from the previous university? No.
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