50業子

In the Master's programme in Applied Data Science and Artificial Intelligence, you will acquire in-depth knowledge and an understanding of the entire data science process. You will learn how to apply mathematical, statistical, analytical and machine learning/deep learning techniques to gain insights from large and often unstructured data sets. You will also acquire technical expertise, analytical skills, and business acumen needed to drive innovation in AI, data science, and big data analytics. 

With a strong industry focus, the program blends machine learning, data engineering, natural language processing, generative AI, cloud computing, and ethical AI principles with real-world applications across diverse domains.

Your course content in detail:

Students gain hands-on experience working with large-scale datasets, machine learning models, and AI-driven solutions while developing strategic problem-solving abilities through case studies, research projects, and industry collaborations. By offering specialized tracks, the program enables students to tailor their expertise to sectors such as supply chain analytics, business analytics, media analytics & creative AI, and life sciences analytics.

The curriculum is designed to be practical, industry-aligned, and future-focused, ensuring graduates are prepared for high-impact roles in data science, AI development, business intelligence, and research. With a combination of technical courses, hands-on workshops, global learning opportunities, and professional certifications, students are equipped with the skills necessary to thrive in today’s data-driven world.

Become a data scientist, data analyst, and more:

With a Master of Science in Applied Data Science and Artificial Intelligence and a qualification at all levels of data science, you will have the best opportunities in all sectors, including the manufacturing industry, banks, insurance companies, the IT sector, consulting, public or industrial research institutes, the healthcare sector and at colleges and universities.

Graduates from previous years now work at ABB, Heidelberg Cement, Airbus, Accenture, Adidas, Audi, Bosch, BMW, BASF, Deloitte, Deutsche Börse, DKFZ, PWC, SAP and Verivox, as well as successful medium-sized companies. Our programme also qualifies you for a public sector position, research work, and doctoral programmes.

Your modules:

In this hands-on Master’s program, you’ll gain a solid foundation in Python, statistics, and machine learning, then dive deep into applied topics such as:

• Data Engineering – Build scalable data pipelines and cloud-based infrastructures
• Deep Learning – Master neural networks, CNNs, and advanced AI techniques
• Cloud Computing – Use tools like AWS and Azure to deploy intelligent systems
• Data Visualization & Storytelling – Transform complex data into actionable insights
• Ethical & Responsible AI – Ensure fairness, transparency, and societal impact
• Domain Specific Applications – Apply AI in Media Analytics, Creative AI, Logistics and Supply Chain, Business Analytics, Process Automation, Bioinformatics and Life Sciences
• Entrepreneurship & Innovation – Turn data-driven ideas into real-world ventures
• 6 Months Internship or Semester Abroad – Gain international or industry experience in Semester 3
• Master’s Thesis – Solve a real problem in collaboration with a company or research lab