Applied Artificial Intelligence, Master of Science

Distance learning program @ Institute for Collaborative Studies 

👉 The consecutive master's programme in Applied Artificial Intelligence at the University of Applied Sciences South Westphalia offers a flexible opportunity for advanced continuing education alongside professional work. The programme is designed for graduates of technical, scientific, or business-related fields who wish to specialise in Artificial Intelligence, Machine Learning, and Deep Learning. The practical approach, combined with a high proportion of online components, enables the development of specialized skills in key future technologies.

At a Glance

🏫 Provider Institute for Collaborative Studies, Academic institution based in Iserlohn (Germany)
The Institute for Collaborative Studies NRW is a joint academic institution and the central coordination point for collaborative study programmes in NRW. As a service provider and support facility for cooperating universities, the Institute takes on central tasks for subject-specific as well as technical support. The Institute provides support for the development and implementation of collaborative study programmes.
🎓 Field of Study Technology & InformaticsData Science & AI
📜 Degree Master of Science (M.Sc.)
⏳ Duration 6 Semesters
🎯 ECTS 120 Credit Points
🌍 Language of Instruction German
📖 Course contents Foundations of Artificial Intelligence, Programming for AI, System Software, Machine Learning, Data Analysis and Visualization, Database Programming, Software Engineering, Deep Learning, Fairness in AI, Database Systems, Elective Course, Natural Language Processing, Project Group, Big Data Processing, Conference Seminar Machine Learning, Legal Issues in AI, Master's Thesis, Colloquium
📚 Electives Business Intelligence, Knowledge-Based Systems, Cloud Computing, Intelligent Systems, AI Law, Fairness in Data and Algorithms, Advanced Programming, Advanced Software Engineering, Information Security, AI System Architectures
📅 Enrollment Anytime
💶 Fees
from 210 € Semester fee
from 1260 € total
🔗 More Info https://www.verbundstudium.de

Admission requirements

The study programme can be started if a first job-qualifying university degree (bachelor's or diploma course with a scope of at least 180 ECTS points) or a degree from a state or state-recognized vocational academy in one of the following subject areas is proven: Engineering Natural Sciences Applied Mathematics Business Administration

If at least 90 ECTS credits in one of the above-mentioned subject areas have been acquired in a basic course of study in another subject area, an application for admission to the study programme can also be submitted.

Details

The consecutive Master's degree programme in Applied Artificial Intelligence at the University of Applied Sciences South Westphalia offers a flexible opportunity for advanced further education alongside one's profession. The programme is designed for graduates of technical, natural science, or business management courses who already possess expert knowledge in application areas of Artificial Intelligence and wish to further qualify themselves while working.

As a key technology of digitalisation, Artificial Intelligence opens up diverse career prospects in almost all areas of public and economic life. A Master's degree in Applied Artificial Intelligence prepares graduates for a career in future-proof areas such as autonomous driving, digital surgical techniques, and ChatBots. Additionally, it provides access to the higher civil service and qualifies individuals for a doctorate.

The programme includes modules such as Fundamentals of Artificial Intelligence, Programming for AI, Machine Learning, Deep Learning, Data Analysis and Visualization, Natural Language Processing, and many more. A special emphasis is placed on practical projects and the application of modern methods and tools of Artificial Intelligence. The curriculum is complemented by elective courses that allow for specialisation in particular subject areas.

The standard period of study is six semesters, during which students work on learning materials through self-study and regularly participate in face-to-face events. Assessments consist of exams, oral examinations, presentations, and written assignments. The study programme also includes a Master's thesis and a colloquium.

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