Study program
University
City

GISMA Business School University of Applied Sciences
Data Science, AI, and Digital Business
M.Sc. (Master of Science)
Subjects: Computer Science, Mathematics, Data Science, Business Administration, Digital Business, Digital Management
M.Sc.
Degree
English only
Language
Application open all year
Application Deadlines
1 - 2 Years (starting: Both semesters)
Duration
€ 5500 - € 6500 /<br/>€ 6250 - € 7750
Tuition Fees (per semester)
- Starting
- Both semesters
- Application:
- directly at the University
- Study mode:
- Flexible (online or on-campus)
- Registration Fee & Tuition Information:
- 1-year program: Nationals = 13,000 €; Internationals = 15,500 €. 2-year program (June intake only): Nationals = 22,000 €; Internationals = 25,000 €. Face-to-face program: 20% early bird offer for applications submitted at least 8 weeks before orientation date. 2-year online program: 4,750 €/year. Discount of up to 20% available.
Five Reasons to choose this Master's Program
Great mix of Data Science, AI, and Business
This unique program combines teachings on Data Science, AI, and Machine Learning with essential business competencies such as management, leadership, digital marketing, and others.
Stunning career opportunities
Graduates from this master’s program acquire the skills and knowledge to follow a successful career in leading data or technology companies, manage innovative enterprises, or create their own start-ups.
Flexible study format to suit you
This master’s program gives students the opportunity to choose their study format: Online or Blended learning. The blended-learning design allows students to begin their studies online and to interact with tutors and classmates until on-campus studies in Berlin are possible again.
Scholarships and discounts available
Students may be eligible for a scholarship of up to 30% when applying, and discounts available also for both study formats.
Internship, business project, or study semester abroad in a partner institution
Students choosing the 2-year program have option to do an internship, business project, or study semester abroad in one of GISMAs partner institutions around the world.
Special Program Features
Accreditations

AMBA
AMBA
The Association of MBAs (AMBA) is a global organisation founded in 1967 which focuses primarily on international business school accreditation and membership.
Requirements
Qualification Requirements
The application requirements for the study program in “Data Science, AI, and Digital Business” are:
1
Bachelor's (Undergraduate) Degree
Previous degree (or equivalent) in:
- Engineering
- Data science
- Technology-related sciences
- Other complementary scientific disciplines (business, economics, law, social sciences, or psychology).
Minimum ECTS required:
- Not mentioned.
Language Requirements
The following certificates are recognised as proof of your language proficience.
CEFR English
min B2
IELTS
min 6
Does the university recognize "other equivalent language certificates"? yes
Application & Admission
Application Deadlines

Locked
Login or Sign-up (for free) to:
- → request information packages
- → see your personal application deadline & tuition fee
For Candidates with Previous Degree from
Winter Semester
(starting in October)
(starting in October)
Summer Semester
(starting in April)
(starting in April)

Winter Semester: open all year
Summer Semester: open all year

Winter Semester: open all year
Summer Semester: open all year

Winter Semester: open all year
Summer Semester: open all year
Application Procedure & Selection
Admission Test/Interview:
None
Application:
directly at the University
Application Fee:
none
Application Documents
Photo
Passport photo.
Copy of Passport / Identity card
Copy of passport.
Online Application Form
Filled out application form.
English Language Certificate → Language Requirements
Letter of Motivation
First University-Level Degree Copy
Bachelor’s degree from a recognised university in English/German or a certified copy.
Transcript of Records
Transcripts in English/German or their certified copies.
Location
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