Human Movement Analytics - Biomechanics, Motor Control, and Learning
The Master’s programme in Human Movement Analytics – Biomechanics, Motor Control, and Learning is an advanced graduate degree offered full-time at Justus Liebig University Giessen. Designed for students aiming to deepen their expertise in human movement science, the program combines academic theory with practical research training. Students explore biomechanics, motor control, and learning processes while working with modern laboratory technologies and data-driven analytical methods. Structured across four semesters, the program admits students exclusively in the winter semester.
Located in Gießen, an established centre for sport and movement research, the master’s program emphasizes scientific precision, experimental work, and interdisciplinary collaboration. With a strong focus on applied movement analysis and research-based learning, students develop the skills needed for careers in sports science, rehabilitation, medical engineering, and human performance technology. The course reflects Germany’s commitment to research excellence and prepares graduates to contribute meaningfully to the global field of movement science.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Gießen
- Study Type: Graduate, full-time
- Admission semester: Winter Semester only
- Area of study: Sport Science, Medical Engineering
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Human Movement Science
- Fundamentals of Biomechanics
- Motor Control and Coordination
- Research Methods & Experimental Design
- Data Acquisition in Movement Analysis
Semester 2 – Advanced Analytical Techniques
- Neuromuscular Function and Motor Learning
- Motion Capture & Sensor-Based Analysis
- Statistical Modeling in Movement Science
- Collaborative Project I (laboratory-based study)
Semester 3 – Specialization & Applied Research
- Advanced Biomechanical Modeling
- Movement Disorders & Rehabilitation Technologies
- Cognitive-Motor Interaction
- Collaborative Project II (applied research or field study)
Semester 4 – Master’s Thesis & Final Project
- Independent Research Thesis
- Experimental Study or Applied Movement Analysis Project
- Thesis Defense & Scientific Presentation
- Portfolio and Research Documentation
Career Opportunities
Graduates can pursue careers in sports performance analysis, rehabilitation and movement therapy, medical technology development, or human factors research. The program also prepares students for academic pathways, including PhD studies and research positions in universities, laboratories, and interdisciplinary institutes. With strong analytical training, graduates are well equipped to contribute to the growing fields of movement science and technology-based health solutions.
Why Choose This Program
Choosing this Master’s program offers access to cutting-edge laboratories, expert faculty, and a curriculum focused on advancing scientific understanding of human movement. Students benefit from interdisciplinary collaboration and research-driven learning that bridges sports science and medical engineering.
The combination of theoretical training and practical application ensures that students develop the technical, analytical, and experimental skills needed for careers in both industry and academia. Its emphasis on innovation, precision, and scientific rigor makes it an excellent choice for anyone aiming to specialise in human movement research.
Contact Information
Student Advisory Service
Zentrale Studienberatung (ZSB)
Goethestraße 58
35390 Gießen, Germany
Tel: 0641 / 99-16223
Fax: 0641 / 99-16229
Email: zsb@uni-giessen.de
Programme Contacts – Institute of Sports Science
Email: Hermann.Mueller@sport.uni-giessen.de, Joern.Munzert@sport.uni-giessen.de
Prof. Dr. Hermann Müller
Prof. Dr. Jörn Munzert
International Office
Akademisches Auslandsamt
Goethestraße 58
35390 Gießen, Germany
Tel: 0641 / 99-12137
Fax: 0641 / 99-12138
Email: internationales@admin.uni-giessen.de
