Data Science
The Master of Science in Data Science is a prestigious graduate program offered by the University of Erlangen-Nuremberg. Designed for professionals aiming to expand their expertise, this full-time international degree combines academic depth with practical training. Students gain hands-on experience in data analysis, machine learning, statistical modeling, and computational methods, preparing them for advanced roles in the global data science industry. The program is structured across four semesters and admits students in both summer and winter semesters.
Located in Erlangen, one of Germany’s vibrant academic hubs, this master’s program emphasizes both technical excellence and applied problem-solving. With a strong focus on practical projects and interdisciplinary collaboration, students not only develop cutting-edge data skills but also benefit from international networking opportunities. The course reflects Germany’s reputation for combining academic quality with professional relevance, making it an excellent choice for those seeking to specialize in data science for research and industry applications.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Erlangen
- Study Type: Graduate (full-time, international)
- Admission semester: Summer and Winter Semester
- Area of study: Data Science
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Data Science
- Introduction to Data Science & Programming
- Statistical Methods and Probability
- Database Systems & Data Management
- Mathematical Foundations for Data Analysis
Semester 2 – Advanced Methods and Techniques
- Machine Learning & Predictive Modeling
- Big Data Analytics & Cloud Computing
- Data Visualization and Communication
- Collaborative Project I (industry or research-based)
Semester 3 – Specialization & Applied Practice
- Deep Learning & Artificial Intelligence
- Computational Methods and Optimization
- Project Management & Team Leadership
- Collaborative Project II (industry-partnered project)
Semester 4 – Master’s Thesis & Final Project
- Independent Research or Applied Thesis
- Implementation of a Final Data Science Project
- Presentation & Portfolio Development
Career Opportunities
Graduates of this program are prepared for a wide range of roles within the global data and technology industry. Career paths include Data Scientist, Machine Learning Engineer, Data Analyst, AI Specialist, and Business Intelligence Consultant. With Erlangen’s strong academic and research environment, students gain excellent opportunities to connect with industry partners, research institutes, and international networks.
Why Choose This Program
Choosing the Master of Science in Data Science means joining a program that combines academic excellence with real-world practice. Offered by the University of Erlangen-Nuremberg, it provides students with access to renowned faculty, modern facilities, and a strong professional network.
The program’s unique strength lies in its practice-oriented curriculum, international perspective, and close ties to data-driven industries. Students not only master advanced analytical and computational techniques but also develop critical thinking and collaborative skills needed to thrive in a highly competitive global market.
Contact Information
University of Erlangen-Nuremberg – Student Advisory Service
Schlossplatz 3
91054 Erlangen, Germany
Tel: 09131 / 85-23333
Fax: 09131 / 85-24803
Email: zsbat@fau.de
Contact for this programme – Studien-Service-Center Data Science
Immerwahrstr. 2a
91058 Erlangen, Germany
Tel: 09131 / 85-20621
Email: studienberatung-ds@fau.de
International Office – Servicestelle International (RIA)
Helmstraße 1
91054 Erlangen, Germany
Tel: 09131 / 85-24801
Fax: 09131 / 85-22131
Email: kira.gehrmann@fau.de
