Master
Part-time
Business Informatics
Applied Artificial Intelligence*
Tomorrow’s technologies, mastered today
The specialization “Applied Artificial Intelligence” offers you practice-oriented knowledge in advanced machine learning techniques, generative AI and large language models. You will learn how to develop complex ML algorithms and deep learning to create powerful models for analyzing and processing large amounts of data.
You will also work intensively with generative models that are used in practice to create content, such as images, text or audio, and to optimize products. Your skills in the application of language models will enable you to support companies in the automation of customer communication, the improvement of text comprehension and knowledge management.
You will apply your knowledge in practical projects, such as setting up chatbots or carrying out sentiment analyses. With this expertise, you will be ideally prepared to support companies in implementing AI-based solutions to increase efficiency.
*is currently in the accreditation process.
Study contents:
Core
Advanced Machine Learning
Generative AI
Practical Application of Large Language Models
AI Lab
Modules
- Strategy development & strategy implementation
- Technology trends
- Innovation management
- Business Intelligence and Process Analysis
- Architecture of modern IT systems
- Contract management and compliance
- Practical transfer projects
- Seminar on selected research topics
- International Management
- Personnel management
- Personality management
Study me
Career-
accompanying
You should choose the part-time Master’s degree program if you already have a Bachelor’s degree, are working and would like to gain further qualifications alongside your job.
M.Sc.
Master of Science
- 31 months (5 semesters)
- Bergisch Gladbach | Bielefeld | Mettmann | Paderborn
- october
- 595€ per month + 1 x examination fee 2.400€
- 120 ECTS
Organization:
– 24 months Lectures/exams
– 7 months Master’s thesis
– Two attendance weekends per semester (Thu-Sat)
– Lectures on average 2 times a month on Saturdays
– Online lectures 1-2 times per week in the evening
The structure of the study program allows you to complete the part-time Master’s degree in the best possible way. With a successful mix of self-study, online lectures and attendance phases on selected weekends, you will experience a study concept that is precisely tailored to the needs of your full-time career.
Study program in Sustainable IT
Prerequisites:
1.
Conclusion
All Master’s degree programs at the FHDW build on a suitable Bachelor’s degree or diploma.
2.
Knowledge of English
A further requirement for the course is proof of English proficiency at B2 level, which can be provided by means of certificates, stays abroad or a separate language test.
3.
Admission interview
In addition, an admissions interview is held with the applicant. Further details on the requirements can be found in the respective degree programs.
It is advisable to coordinate your plans for part-time study with your employer. On the one hand, attendance during the attendance phases must be guaranteed. On the other hand, the choice of degree course can be better adapted to the company’s requirements, which increases later career opportunities within the company.
Because money doesn't grow on trees -
let's talk about it!
let's talk about it!
Did you know that you can refinance part of your tuition fees and expenses via your income tax return?
Partner companies
The Fachhochschule der Wirtschaft (FHDW) focuses its range of courses on dual and part-time Bachelor’s degree programs in Business Administration (BWL), Business Informatics and Applied Informatics. The combination of theory and practice is the FHDW’s recipe for success. In the dual Bachelor’s degree course, learning phases at the university alternate equally with practical phases in partner companies over the entire duration. Around 550 companies are integrated into the FHDW cooperation network.
Dates
7. July 2025
8. July 2025
8. July 2025
Your student advisory service
Make an appointment now for your student advisory service or ask us your questions about studying. We look forward to getting to know you and helping you!
Write to us!
- Mail: [email protected]
- WhatsApp: +49 173 4209027
Valea Allkämper
@Campus Bergisch Gladbach
02202 9527-270
Elisabete Duarte
@Campus Bergisch Gladbach
02202 9527-270
Simona Narcisi
@Campus Mettmann
02104 17756-270
Dajana Deppenmeier
@Campus Bielefeld
0521 23842-270
@Campus Paderborn
05251 301-190
Rebecca Baumann
@Campus Bielefeld
0521 23842-270
@Campus Paderborn
05251 301-190
Annalena Thiel
@Campus Bielefeld
0521 23842-270
@Campus Paderborn
05251 301-190
Our awards
