The Master's programme in Artificial Intelligence (AI) at our SRH University focuses on preparing students with the necessary knowledge and skills to develop, implement and evaluate advanced AI technologies. The programme objectives focus on teaching theoretical knowledge, practical skills and innovative thinking to prepare students for a successful career in this dynamic and fast-growing field.
The demand for specialists in the field of artificial intelligence has risen significantly worldwide. Companies and organisations are increasingly looking for experts who can develop, implement and apply AI technologies. AI experts are finding employment opportunities in a variety of industries, including healthcare, finance, automotive, e-commerce, education, computer science and many others. AI is used in various applications such as robotics, computer vision, natural language processing (NLP), data science and machine learning. Due to the high demand for AI experts, competition for qualified professionals is strong.
At the beginning of your Master's degree programme in Information Technology - Artificial Intelligence, you will learn about the theories of information transmission and compression, among other things, and deal with basic principles and techniques for transmitting signals in wired and wireless networks. You will acquire in-depth knowledge in the fields of digital signal processing, image processing and machine learning.
In the further course of your Master's degree programme, you will deepen your knowledge in the field of artificial intelligence. In the Deep Neural Networks module, you will familiarise yourself with a powerful machine learning technique and expand your programming skills in Python Programming. As part of your internship, you can gain practical experience and apply your theoretical knowledge before writing your Master's thesis.
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Today, soft and social skills are crucial in addition to hard skills and expertise. That's why SRH University's innovative, successful, and award-winning CORE principle promotes independent and active learning so that you can apply your knowledge directly to projects and your future career—for a clear competitive advantage.
