FACHHOCHSCHULE DER WIRTSCHAFT · GERMANY
Wirtschaftsinformatik - Künstliche Intelligenz & Data Science (B.Sc.)
Bachelor's · Taught in en
At a glance
72 mo
Duration
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IELTS
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Tuition / yr
en
Language
Bachelor's
Level
- 6 SemestersDuration
- 180 ECTSCredits
- Available in Dual or Full-TimeStudy Mode
- January & October IntakesStart Dates
- Partner company support for dual studentsFunding Option
This Bachelor of Science program focuses on Artificial Intelligence and Data Science within the field of Business Informatics. As digitalization continues to generate vast amounts of data, this program equips you with the skills to transform raw data into actionable insights. You will learn to integrate, model, and analyze data, applying these skills to areas like marketing, product development, and market forecasting. The curriculum emphasizes programming, data analysis, and user-centered design, preparing you for a growing job market.
Curriculum
The curriculum combines core Business Informatics with specializations in Artificial Intelligence and Data Science. You will engage in practical 'Data Lab' sessions and cover essential programming modules.
- Year 1
- Fundamentals of Computer Science
- Software Engineering and Continuous Integration
- Year 2
- Data Technologies
- Data Analysis and Machine Learning
- Year 3
- IT-Security and Risk Management
- Implementation of Digital Processes
Careers
Graduates are prepared for roles in the growing field of data analysis and business informatics, leveraging digital transformation within companies.
- Data Scientist
- Data Analyst
- Data Engineer
Frequently asked questions
- What are the entry requirements for the Wirtschaftsinformatik - Künstliche Intelligenz & Data Science (B.Sc.) program?
- Applicants must have a general university entrance qualification (e.g., Abitur) or an equivalent Higher Education Entrance Qualification. Successful participation in the FHDW's selection process is also required.
- What is the duration of the program and when does it start?
- The program lasts 6 semesters (180 ECTS credits). There are two intake periods: January and October.
- How does the tuition fee structure work for this program?
- For dual study mode, partner companies typically cover tuition fees, and students receive a monthly salary. Full-time students also receive a monthly salary from a partner company and pay a one-time examination fee of 1,500€.
- How do I apply for the program?
- The application process involves finding a partner company, especially for the dual program, and successfully completing the FHDW's internal selection procedure. Applications are accepted on an ongoing basis for both January and October intakes.
- Are there any scholarships or funding options available?
- Yes, through the Partner Company Sponsorship, partner companies cover tuition fees and provide a monthly salary. Students secure this sponsorship by finding a position with a partner company.
- What career opportunities are available after graduating?
- Graduates are well-prepared for roles in data analysis and business informatics. Common career paths include Data Scientist, Data Analyst, and Data Engineer.
Entry requirements
Higher Education Entrance Qualification (Fachhochschulreife or equivalent)General university entrance qualification (e.g., Abitur) or successful completion of a professional further education qualification or a vocational training qualification appropriate to the intended course of study and professional experience.
Successful participation in the FHDW's selection process is also required.
Fees
Tuition (international)For dual study mode, partner companies typically cover tuition fees. For full-time study, students receive a monthly salary from a partner company and pay an examination fee.
Tuition (home)For dual study mode, partner companies typically cover tuition fees. For full-time study, students receive a monthly salary from a partner company and pay an examination fee.
LivingNot specified, but dual students receive a monthly salary from their partner company.
Dual study: 670€ monthly salary + 1 x 1,500€ examination fee. Full-time study has the same fee structure.
How to apply
1. Find a Partner CompanyExplore the career portal to find suitable partner companies. This is crucial for the dual study program. For full-time study, you will also engage with companies through practice transfers.
2. Participate in Selection ProcessSuccessfully complete the FHDW's internal selection procedure.
3. ApplySubmit your application through the provided application link.
Scholarships
Partner Company SponsorshipTuition fees covered and monthly salary
Frequently asked questions
What are the entry requirements for the Wirtschaftsinformatik - Künstliche Intelligenz & Data Science (B.Sc.) program?
+
Applicants must have a general university entrance qualification (e.g., Abitur) or an equivalent Higher Education Entrance Qualification. Successful participation in the FHDW's selection process is also required.
What is the duration of the program and when does it start?
+
The program lasts 6 semesters (180 ECTS credits). There are two intake periods: January and October.
How does the tuition fee structure work for this program?
+
For dual study mode, partner companies typically cover tuition fees, and students receive a monthly salary. Full-time students also receive a monthly salary from a partner company and pay a one-time examination fee of 1,500€.
How do I apply for the program?
+
The application process involves finding a partner company, especially for the dual program, and successfully completing the FHDW's internal selection procedure. Applications are accepted on an ongoing basis for both January and October intakes.
Are there any scholarships or funding options available?
+
Yes, through the Partner Company Sponsorship, partner companies cover tuition fees and provide a monthly salary. Students secure this sponsorship by finding a position with a partner company.
What career opportunities are available after graduating?
+
Graduates are well-prepared for roles in data analysis and business informatics. Common career paths include Data Scientist, Data Analyst, and Data Engineer.