AI & Business Analytics, Master of Science

Part-time program @ FOM University of Applied Sciences for Economics and Management 

👉 The master's programme "AI & Business Analytics" (M.Sc.) provides comprehensive competencies in the field of Artificial Intelligence and Data Analysis. In this practical, part-time study programme, participants acquire the skills to analyse large amounts of data in order to make informed business decisions. The programme combines scientific theory with practical application and is ideal for professionals looking to advance their careers in IT or Business Analytics.

At a Glance

🏫 Provider FOM University of Applied Sciences for Economics and Management, UAS based in Essen (Germany)
The FOM University of Applied Sciences for Economics and Management, founded in 1993, is a private, state-recognised university headquartered in Essen. It primarily offers part-time and dual bachelor's and master's programmes. With around 57,000 students and over 10,000 cooperation partners, it is one of the largest private universities in Europe. The university relies on a digital live study format for distance learning.
🎓 Field of Study Technology & InformaticsData Science & AI
📜 Degree Master of Science (M.Sc.)
⏳ Duration 4 Semesters
🎯 ECTS 120 Credit Points
🌍 Language of Instruction German
📖 Course contents Intelligent Systems, Fundamentals of Machine Learning, Change & Innovation, Research Methodology in STEM Courses, Application Areas Business Analytics, Data Engineering, Sustainability, MLOps, NLP, Text Algorithms and Language Models, Architecture and Process Management, Modern Application Fields of AI, AI Consulting Project, Exposé for Master's Thesis, Master's Thesis, Colloquium
📅 Enrollment Winter or summer semester
💶 Fees
from 465 € monthly
from 16030 € total
🔗 More Info https://www.fom.de

Admission requirements

You need a university degree of at least 180 credit points, with at least 40 credit points in (business) informatics modules.

Alternatively, a university degree (regardless of the subject) with relevant professional experience, e.g. in software development or business and network administration, is sufficient. Up to 10 CP can be credited for one year of relevant work experience, so a maximum of 4 years of work experience would be sufficient for admission.

Current professional activity is required.

Details

The master's programme "AI & Business Analytics" addresses the growing importance of data collection and analysis for business success in today's business landscape. Through the course, you will acquire specialized skills in the application of Artificial Intelligence to optimize business processes. This programme is particularly suitable for professionals in the IT industry who wish to deepen their knowledge in business analytics and AI applications.

The course contents include intelligent systems, fundamentals of machine learning, and modern application fields of AI. The curriculum also integrates practical projects and expert lectures to promote both theoretical and practical competencies. Furthermore, it focuses on developing skills in change and innovation management.

1st Semester: Intelligent Systems, Fundamentals of Machine Learning, Change & Innovation, Research Methodology in STEM Programmes.

2nd Semester: Application Areas of Business Analytics, Data Engineering, Sustainability.

3rd Semester: MLOps, NLP, Text Algorithms and Language Models, Architecture and Process Management, Research Forum, Transfer Assessment: Coaching and Transfer Report 1.

4th Semester: Modern Application Fields of AI, AI Consulting Project, Exposé for the Master's Thesis, Transfer Assessment: Transfer Report 2 and Competence Check 2.

Thesis: Master's Thesis and Colloquium, Transfer Assessment: Examination of Theory-Practice Reflection.

This academic further education qualifies graduates for career paths in technical consulting, the development of AI applications, as well as in the management of IT projects, and awards an internationally recognized master's degree that also qualifies for a doctorate.

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