Computational Molecular and Materials Science (MSc)

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) · Nuremberg, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Campus
Erlangen
Apply by
Register by 15 July 2026
Starts
Winter semester

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.

Entry requirements and how to apply

Entry requirements
Applicants must hold a Bachelor’s degree in a relevant field from a recognised university. A Bachelor’s degree in Chemistry, Molecular Science, or Physics is considered directly relevant. Applicants with closely related degrees may also be eligible if their studies included a strong focus on molecular-based natural sciences (approximately 60% of the curriculum), with coursework in: Quantum Mechanics (minimum 5 ECTS or an equivalent workload) Chemistry or Molecular Science (minimum 5 ECTS or an equivalent workload) Mathematics / Mathematical Methods or Physics (minimum 5 ECTS or an equivalent workload) Applicants from other natural or engineering science backgrounds may be assessed individually, based on their academic profile and study focus. Students who have not yet completed their Bachelor’s degree must have completed the equivalent of at least 135 ECTS (approximately 75% of a standard Bachelor’s programme) at the time of application. Applicants must provide proof of English language proficiency at CEFR level B2 (or equivalent). This requirement is waived if the previous degree was completed entirely in English. Admission is based on academic performance and subject-specific bac
English language requirement
B2 required, please provide an official language certificate, e.g.: TOEFL Essentials: 8 Reading: 8 Listening: 8 Speaking: 8 Writing: 8 UNIcert® English: UNIcert® II Cambridge English Qualifications: B2 First
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: all countries until 15 July
Apply through
Please check this website .

About this programme

The Master’s programme in Computational Molecular and Materials Science focuses on modern computational approaches to study and design molecules and materials. Central to the programme are modelling, simulation, and data-driven methods that enable the analysis and prediction of properties at the atomic and molecular scale. The curriculum combines fundamental concepts from chemistry and physics with advanced techniques in computational chemistry and materials simulation. Students learn to apply quantum mechanical methods, multiscale simulation approaches, and numerical techniques, complemented by tools from data science and machine learning. These methods are used to understand complex systems and to predict their behaviour under different conditions. A key feature of the programme is its strong application focus. Computational methods are applied to current challenges in areas such as energy conversion and storage, sustainable materials, drug design, and nanotechnology. By integrating theory, simulation, and application, the programme enables students to design and optimise molecules and materials efficiently. The programme is inherently interdisciplinary, linking chemistry, physics, materials science, and computer science. It prepares graduates for careers in academic research as well as in research-driven industries.

Related pages

Other degree programmes at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)