SRH University – Vollzeit

Applied Data Science and Artificial Intelligence - Supply Chain & Logistics Analytics (EN)

• Abschluss Master of Arts (M. A.)
• Dauer 4 Semester
• Art Vollzeit

In today’s data-driven world, transforming raw information into smart decisions is key to innovation. The master’s programme in Applied Data Science and Artificial Intelligence prepares you to tackle this challenge by combining statistical methods with cutting-edge techniques in machine learning and deep learning. You will gain the skills to analyse complex datasets and design intelligent systems that can support decision-making across various sectors. The programme also helps you sharpen your analytical thinking, strategic planning and problem-solving abilities to manage advanced AI and Big Data projects with confidence. Real-world case studies, hands-on projects and applied research ensure that your academic training connects directly with current industry demands.

Applied Data Science and Artificial Intelligence - Supply Chain & Logistics Analytics at SRH University

This programme at SRH University enables you to work with data in a meaningful and impactful way. From the beginning, you build a strong foundation in data science, artificial intelligence and software tools. The specialisation in Supply Chain & Logistics Analytics allows you to dive deeper into predictive modelling and optimisation methods that improve logistics processes and increase operational efficiency. Whether you are interested in AI development, business intelligence or data-driven innovation, this programme offers a focused academic path to shape the future of digital industries.

Career Prospects i. a.:

• Data Scientist
• AI Specialist
• Business Intelligence Analyst
• Machine Learning Engineer
• Logistics Data Analyst
• Supply Chain Planner
• Research Associate
• Data Product Manager
• Big Data Consultant
• Operations Analyst

Überblick über den Studiengang

Course Structure, Modules & Key Features

The programme is offered full time over four semesters and awards 120 ECTS credits. It leads to the degree “Master of Science (M. Sc.)” and is taught entirely in English. You can choose to study at one of four SRH locations: Fürth, Hamburg, Heidelberg or Munich. The curriculum combines core modules in statistics, programming, machine learning and AI with applied projects and specialisation content. In the Supply Chain & Logistics Analytics track, you focus on using data to optimise logistics, forecast demand, manage inventory and improve operational systems. The programme emphasises project-based learning and gives you access to academic mentoring, small learning groups and cross-industry case studies. Your studies conclude with a master’s thesis that reflects your chosen area of focus.

Selected Contents

• Data Scientist
• First Steps into Data Science
• Demand Forecasting
• Natural Language Processing
• Entrepreneurship

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