Business Engineering Artificial Intelligence, Bachelor of Engineering

Distance learning program @ Wilhelm Büchner University 

👉 The Bachelor's degree in Business Engineering Artificial Intelligence at Wilhelm Büchner University combines technical and economic aspects and prepares students to master the challenges of digitalization. In a modular structure, essential knowledge of STEM subjects with a focus on artificial intelligence, digitalization, and data science is taught. With options for personal specialization, the programme offers not only academic knowledge but also excellent career prospects in a forward-looking field.

At a Glance

🏫 Provider Wilhelm Büchner University, UAS based in Darmstadt (Germany)
The Wilhelm Büchner University (WBH) is the largest private university for technology in Germany and specializes in part-time distance learning courses in the fields of computer science, engineering, industrial engineering, environmental technology, and design. It offers a particularly flexible study model that can be started at any time and has no fixed semester times. Thanks to the modern online campus with multimedia learning materials, interactive tools, and the AI-based learning assistant WBH A[ssist], students can tailor their studies individually. Examinations can be taken online or at 15 examination centres, and personal support from lecturers and study advisors ensures optimal assistance. The WBH focuses on practical content, close links with the economy, and high recognition of its qualifications, making it an ideal choice for professionals who want to further their academic qualifications flexibly.
🎓 Field of Study Technology & InformaticsData Science & AI
📜 Degree Bachelor of Engineering (B.Eng.)
⏳ Duration 6 Semesters
🎯 ECTS 180 Credit Points
🌍 Language of Instruction German
📖 Course contents Introduction Project, Business Administration, Organization and Personnel, Fundamentals of Computer Science, Mathematics I, Controlling and Quality Management, Intercultural Communication, Introduction to Software Development, Fundamentals of Natural Sciences, Mathematics II, Accounting and Financing, Fundamentals of Sustainability Transformation and Digitization, Introduction and Application of Artificial Intelligence, Coding I, Quantitative Decision-Making Tools, Business and Labor Law, Big Data and Data Science: Methods and Technologies, Databases, IT Security Management, Seminar, AI Applications and Ethics, AI Programming, Computer Vision and NLP with Deep Learning, Project Work, Project and Change Management, Elective Modules, Bachelor Thesis and Colloquium, Professional Practical Phase
📚 Electives Applied Computer Science, Digital Transformation, Product Management, Sales Engineering, Patent Engineering
📅 Enrollment Anytime
💶 Fees
from 236 € monthly
🔗 More Info https://www.wb-fernstudium.de

Admission requirements

You need the General University Entrance Qualification, the subject-specific university entrance qualification, or the University of Applied Sciences entrance qualification. Alternatively, a university admission qualification recognized by the Hessian Ministry is required, or a passed university entrance examination after two semesters of study. Other possibilities include a qualified qualification such as a master craftsman's certificate or at least three years of training with a certain grade as well as professional experience.

Details

The degree programme Business Engineering Artificial Intelligence offers a comprehensive education with an interdisciplinary approach. It is aimed at those who are interested in the intersection of business and technology and how Artificial Intelligence can be used here. Participants acquire solid knowledge in areas such as digitisation, data science, and Artificial Intelligence management. In a flexible, modular structure, fundamentals in business and technology are combined with key qualifications of Artificial Intelligence.

The programme comprises 180 ECTS credits and is divided into modules that span six semesters. Study content includes topics from the STEM subjects, as well as economic and legal fundamentals. From the second semester onwards, the focus is on deepening knowledge in the field of AI. Additionally, students can further specialize in specializations of their choice. Completing a practical work phase and a project work rounds off the practice-oriented study programme.

Graduates find numerous career opportunities in various industries, such as consulting or as project managers for AI projects. The flexible course design allows students to tailor their studies to work and family commitments.

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