Data Science Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Overview

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) stands out as a premier institution for studying Data Science, thanks to its strong connections between the departments of mathematics and computer science. The university's commitment to interdisciplinary education ensures that students benefit from a rich variety of subjects, taught by experienced faculty members. Furthermore, the proximity of these departments fosters collaboration and enhances the learning experience. The university's location in the vibrant Nuremberg metropolitan area offers excellent opportunities for practical experience and networking with potential employers, including renowned companies like Siemens, Schaeffler, and adidas.

The tuition fees for the Data Science programme at FAU are as follows: - International students: EUR 0 per year - European students: EUR 0 per year Visit the Fees and Funding section for a breakdown in your local currency.

The M.Sc. Data Science programme is structured to provide a comprehensive education in various specialised areas. Students will engage in core modules and select specialisations, which include:

• Data-based optimisation
• Mathematical theory / Fundamentals of data science
• Databases and knowledge representation
• Machine learning / Artificial intelligence
• Simulation and numerics
• Mathematical statistical data analysis

In addition, students will complete modules in application subjects such as:

• Artificial intelligence in biomedical imaging
• Digital humanities
• Geosciences
• Medical data science
• Multimedia Engineering

The programme culminates in a Master's seminar and a thesis, allowing students to apply their knowledge in a practical context.

Graduates of the M.Sc. in Data Science are well-prepared for a variety of exciting career paths. They can find opportunities in diverse industries, including:

• Technology (e.g., Google, Facebook, Microsoft)
• Consulting (e.g., McKinsey, Deloitte)
• Biomedical research (e.g., AstraZeneca, Roche)
• Logistics (e.g., Deutsche Post, UPS)
• Energy (e.g., E.ON, RWE)
• Finance (e.g., Deutsche Bank, Allianz)

With a growing demand for data science professionals, graduates can anticipate competitive starting salaries and the potential for further academic pursuits, such as doctoral studies, to advance their expertise in this rapidly evolving field.