XU Exponential University of Applied Sciences

Data Sciencе & АI

B.Sc. (Bachelor of Science)
B.Sc.
Degree
180
ECTS
English
English only
Language
Application open all year
Application Deadlines
6 semesters
(Starting: Both Semesters)
Duration
€ 4,248
Tuition Fees (per semester)
Starting
Both Semesters
Mode of Admission:
no admission restriction 
Study Mode:
On campus

How do you want to continue?

Go to course website

Course Description

The B.Sc. in Data Science and AI equips students with the technical and analytical skills to understand, design, and implement data-driven innovations. With a strong focus on AI and real-world applications, it prepares future leaders to shape tomorrow’s data economy.

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 obtainеd.

Language Requirements

The following certificates are recognized as proof of your language proficiency.

languageEnglish
IELTS
min 6
TOEFL iBT
min 60
TOEFL pBT
min 546
Cambridge
min C1 Advanced (CAE)
Cambridge
min C1 Business Higher (BEC Higher)
TOEIC
min 605
Telc English B2-C1 University
min B2
Duolingo
min 105
Does the university recognize "other equivalent language certificates"? no information provided by university
Additional information:
The university generally accepts all widely recognized certificates. For specific certificate requirements, applicants should refer to the reference table. English as the language of instruction in previous studies is also accepted, with confirmation from the university.

Application & Admission

Application Deadlines

The application deadline for the B.Sc. Data Sciencе & АI at XU Exponential University of Applied Sciences depends on the country where you obtained your previous degree. For applicants with a degree from non-EU countries, the application is open all year. Applications are made: Directly at university.
German Students
Other EU Students
Non-EU Students
Non-EU Students
B.Sc. Data Sciencе & АI
XU Exponential University of Applied Sciences
Non-EU Students
Intake Winter Semester Summer Semester
Application deadline
Open all year
Open all year
Application modeDirectly at universityDirectly at university
Intake
Winter Semester
Application deadline
Open all year
Application mode
Directly at university
Intake
Summer Semester
Application deadline
Open all year
Application mode
Directly at university

German Students

B.Sc. Data Sciencе & АI
XU Exponential University of Applied Sciences
German Students
Intake Winter Semester Summer Semester
Application deadline
Open all year
Open all year
Application modeDirectly at universityDirectly at university
Intake
Winter Semester
Application deadline
Open all year
Application mode
Directly at university
Intake
Summer Semester
Application deadline
Open all year
Application mode
Directly at university

Other EU Students

B.Sc. Data Sciencе & АI
XU Exponential University of Applied Sciences
Other EU Students
Intake Winter Semester Summer Semester
Application deadline
Open all year
Open all year
Application modeDirectly at universityDirectly at university
Intake
Winter Semester
Application deadline
Open all year
Application mode
Directly at university
Intake
Summer Semester
Application deadline
Open all year
Application mode
Directly at university

Application Procedure & Selection

Mode of Admission:
no admission restriction 

Location

1
XU Exponential University of Applied Sciences
By loading the map, you agree to Google's privacy policy. Learn more

Further Information

For more information please check the

Course Website