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Interdisciplinary Molecular Sciences with AI/ML Applications● OpenMastersPreview

Artificial Intelligence for Molecular Sciences (AIMS) Master’s Programme

An interdisciplinary, research-focused Master’s programme integrating AI and molecular sciences for drug design, spectroscopy, and data-driven biology.

Best for:Best for students with a Bachelor’s in chemistry, biochemistry, physics, computer science, or related fields, seeking to specialise in AI-driven molecular sciences with hands-on research experience.

Technische Universität Braunschweig · Braunschweig, Germany
More professors at Technische Universität Braunschweig
AI-driven drug designComputational molecular simulationsMachine learning for spectroscopyData-driven biologyHigh-dimensional data analysisChemical synthesis optimisation
This is a masters position — not a PhD studentship.
Deadline
Register by 15 July 2027 + 1 more
Funding
Scholarship
€300/mo
Start date
Winter semester (typically October)
Full-time
Location
Braunschweig
Germany

Overview

The Artificial Intelligence for Molecular Sciences (AIMS) Master’s programme at Technische Universität Braunschweig is a research-oriented, international, and fully English-taught degree. It equips students with advanced skills in AI, machine learning, and computational methods to accelerate molecular simulations and analyse high-dimensional biological data. With three specialisations—Chemical Synthesis and Drug Design, Spectroscopy and Imaging, and Data-Driven Biology—students engage in interdisciplinary coursework, independent research, and a Master’s thesis. The programme leverages TU Braunschweig’s strong ties to industry and research institutions in the Braunschweig region, fostering a multicultural and collaborative learning environment. It is designed for graduates seeking to bridge AI and molecular sciences for impactful careers in academia or industry.

AI in molecular sciencesMachine learning for drug discoveryComputational chemistryData-driven biologyInterdisciplinary Master’s programmeResearch-oriented educationEnglish-taught degreeTU Braunschweig

What you'll do

  • Develop and apply AI models to accelerate physical simulations of molecular structures and dynamics.
  • Conduct independent research in one of three specialisations: Chemical Synthesis and Drug Design, Spectroscopy and Imaging, or Data-Driven Biology.
  • Complete a Master’s thesis in English, presenting original scientific research under faculty supervision.
  • Engage in interdisciplinary coursework combining applied mathematics, computer science, and molecular sciences.
  • Participate in optional study-abroad units through established Erasmus partnerships or new international collaborations.
  • Collaborate with research facilities and industry partners in the Braunschweig region.
  • Present research findings in seminars and conferences, fostering a multicultural academic environment.

Requirements

Degree required: Bachelor’s degree in chemistry, biochemistry, physics, computer science, or a related field (e.g. molecular biology, materials science).

Degree offered: Master of Science (MSc)

Language: English; C1 proficiency (TOEFL iBT ≥88 or IELTS Academic ≥6.5).

Instruction: English

Required skills
  • Proven academic background in natural sciences, chemistry, or computer science.
  • Strong proficiency in English (C1 level) for coursework and thesis.
  • Basic knowledge of programming (e.g. Python, R) or willingness to learn.
  • Familiarity with mathematical methods for scientific computing.
  • Ability to work independently and collaboratively in a research setting.
Nice to have
Experience with machine learning frameworks (e.g. TensorFlow, PyTorch).Prior exposure to molecular modelling software (e.g. GROMACS, AMBER).Knowledge of spectroscopy techniques (e.g. NMR, mass spectrometry).Research experience in a laboratory or computational setting.
Eligibility
  • No German language skills required.
  • EU applicants: application deadline 1 June–15 July for winter semester.
  • Non-EU applicants: application deadline 1 February–15 March for winter semester.
  • No age restrictions or residency requirements beyond standard EU/non-EU deadlines.

Funding & terms

Type
Scholarship
Amount
€300/mo
Duration
4 semesters (1 academic year)
Programme
Deutschlandstipendium (Germany Scholarship Programme)
Technische Universität Braunschweig

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
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How to apply

Deadline: 15 July 2027 (EU applicants) / 15 March 2027 (non-EU applicants) (Europe/Berlin)

Applicants must register online via TU Braunschweig’s international student application portal. Submit a complete application package including academic transcripts, proof of English proficiency, a CV, and a statement of purpose. Non-EU applicants may also need to provide visa documents. Detailed instructions and required documents are available on the programme’s official website.

Documents required
  • Bachelor’s degree certificate and transcripts
  • Proof of English proficiency (TOEFL/IELTS or equivalent)
  • Curriculum Vitae (CV)
  • Statement of purpose or research motivation
  • Letter of recommendation (1–2)
  • Passport-sized photograph
  • Proof of health insurance (for non-EU applicants)
↗Check programme and admissions

Contact

Lab
AIMS Programme Office
Technische Universität Braunschweig
Deutschlandstipendium (Germany Scholarship Programme)Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.