SRH University – Vollzeit

Applied Data Science and Artificial Intelligence - AI-Driven Bioinformatics & Life Sciences Analytics (EN)

• Abschluss Master of Science (M. Sc.)
• 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 support decision-making across industries. Alongside technical know-how, the programme helps you develop analytical thinking, strategic planning and problem-solving skills to manage advanced AI and Big Data projects. Real-world case studies, hands-on projects and applied research ensure your academic training is closely aligned with industry needs.

Applied Data Science and Artificial Intelligence - AI-Driven Bioinformatics & Life Sciences Analytics

This programme 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 AI-Driven Bioinformatics & Life Sciences Analytics focuses on applying advanced machine learning techniques in the context of genomics and intelligent healthcare. You will explore how AI can support biomedical research, analyse genetic data, and contribute to healthcare innovation. Whether your interests lie in digital health, biotechnology or life sciences research, this focus area prepares you to work at the interface of data science and human health.

Career Prospects i. a.:

• Data Scientist
• AI Specialist
• Bioinformatics Analyst
• Machine Learning Engineer
• Healthcare Data Scientist
• Biomedical Data Consultant
• Research Associate
• Digital Health Analyst
• Medical AI Developer
• Life Sciences Innovation Manager

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 AI-Driven Bioinformatics & Life Sciences Analytics track, you focus on genomics, personalised medicine, AI-assisted diagnostics and healthcare systems. The programme emphasises project-based learning, cross-disciplinary collaboration and gives you access to academic mentoring, small learning groups and industry contacts. Your studies conclude with a master’s thesis in your chosen area of focus.

Selected Contents

• Precision Medicine
• Genomics Analytics
• Data Management
• Responsible AI and Data Ethics
• Cloud Computing and Data Architectures
• Biomedical Image Analysis

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