Data Scienсе
- Starting
- Winter semester
- Application:
- directly at University
- Study mode:
- On campus
- Registration Fee & Tuition Information:
- The tuition fee is 890 €/month for EU students (10,680 € annually), and 7,900 €/semester for non-ΕU studеnts.
Five Reasons to choose this Master's Program
Course Description
Main areas of study
- Data Science Operations, Applications and Innovations
- Data Science Methods (Predictive and Prescriptive Analytics)
- Data Science Computing
- Leadership Assessment Center
- Leadership Skills
- Research Skills
Specializations
- Information Analysis
- Business Analysis
- Human Interaction/Natural Language Processing (NLP)
Special Program Features
Flexible Application and Enrollment
At XU University, you can apply for the respective winter semester at any time, as there is no explicit application deadline like at public universities. Even for latecomers, XU offers the option to enroll up to four weeks after the start of the semester. However, students should be prepared to catch up on the curriculum independently.
Unique Housing Option
XU University offers a unique housing option with apartments on campus. This not only provides convenience but also helps in creating a close-knit community among students.
XU University's Practical Projects: Where Academia Meets Real-World Innovation!
At XU University, students from various programs have the opportunity to collaborate on real-world projects with prominent companies. Whether developing a music app, creating a digital communication portal, working on sustainable solutions for climate change, formulating a business plan and prototype, or participating in hackathons, these practical experiences allow students to apply their diverse skills and knowledge, fostering networking and collaboration. → More Info
Accreditations
ZEvA
ZEvA
The Central Evaluation and Accreditation Agency is an independent private accreditation agency in the tertiary education sector which accredits and evaluates study programs in Germany, Europe, and beyond.
Requirements
Qualification Requirements
Bachelor's degree (or equivalent) in a field related to the area of study, e.g. Data Science, Maths, Statistics, Business Informatics, Computer Science, etc. Since Data Science is an interdisciplinary field, getting accepted into this program is possible, if you hold a diploma in another area. The examination board will decide based on your individual qualifications whether you can be admitted into
this program. The examination board will also consider additional qualifications (incl. work experience, certificates, etc.).
Required ECTS crеdits: 180.
A final GPA of 2.5 or better (according to the German grading system). If your final GPA does not meet this requirement, you can be accepted if you submit at least one letter of recommendation from the university where you obtained your bachelor’s. In this case, XU’s examination board will decide on a case-by-case basis whether you can be admitted into the program of your choicе.
Language Requirements
The following certificates are recognised as proof of your language proficience.
EnglishApplication & Admission
Application Deadlines
Locked
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- → request information packages
- → see your personal application deadline & tuition fee
(starting: October)
Germany
Another EU Country
Rest of the worldApplication Procedure & Selection
Application Documents
Fill in the Online Application form to register Please submit the following documents with your application:
- All pages of your university entrance qualifications (e.g. bachelor’s diploma and transcripts incl. credit points/total number of study hours).
- Current CV in tabular form (1-2 pages).
- Proof of English proficiency (see language requirements).
- If applicable: relevant certificates (language certificates), (job) reference letters, etc.
The XU Admissions Team will get back to you with feedback regarding the next steрs.
Location
Further Information
Information Package
Get your information package with 1-click!
Get your copy of our program brochure with all further information, program details, etc.
