XU Exponential University of Applied Sciences

Data Science

B.Sc. (Bachelor of Science)
Subjects: Computer Science, Data Science
B.Sc.
Degree
English
English only
Language
Not specified
Application Deadlines
3 Years (starting: Winter semester)
Duration
4165€
Tuition Fees (per semester)
Starting
Winter semester
Application:
directly at the University
Study mode:
On campus

Requirements

Qualification Requirements

Previous Degree

In order to get admitted into an undergraduate program, you have to hold university entrance qualifications that are equivalent to the German A-Levels (“Abitur“). The entrance requirements for international applicants vary according to the country where the university entrance qualification was obtained and are set by the Standing Conference of the Ministers of Education and Cultural Affairs (KMK) and are binding for all German universities. In many cases, the requirements for entrance depend on the country of origin/country where the secondary school certificate was obtained.

Language Requirements

The following certificates are recognised as proof of your language proficience.

languageEnglish
CEFR English
min B2
TOEFL iBT
min 78
TOEFL CBT
min 207
TOEFL pBT
min 543
IELTS
min 5.5
Cambridge
min B2 First (FCE)
Cambridge
min C1 Business Higher (BEC Higher)
TOEIC
min 785
Specification: Listening and Reading Test
TOEIC
min 160
Specification: Speaking Test
TOEIC
min 150
Specification: Writing Test
Telc English B2-C1 University
min B2
UNIcert
min II
Does the university recognize "other equivalent language certificates"? no information provided by university
Additional information:
IGCSE 1st Language mit Durchschnitt B2 and IGCSE 2nd Language mit Durchnitt B2 are also accepted.

Application & Admission

Application Deadlines

Special Deadline Case:
Winter semester: No information provided by the university.

Application Procedure & Selection

Admission Test/Interview:
None
Application:
directly at the University
Application Fee:
none

Further Information

For more information please check the

Course Website
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