Master of Science in Artificial Intelligence and Machine Learning
Technical University of Darmstadt · Darmstadt, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Darmstadt
- Apply by
- <p><a href="https://www.tu-darmstadt.de/studieren/studieninteressierte/bewerbung_zulassung_tu/bewerbungsfristen/bachelor_studiengaenge_2/index.en.jsp">Application deadlines and admission procedures for all Master’s programmes.</a></p>
- Starts
- Winter and summer semester
Technical University of Darmstadt 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
- Bachelor's degree (or equivalent) in Computer Science Completion of the on-site entrance exam (see overview for dates) may be required. This entrance exam can potentially be substituted with these alternative external tests: GRE with a minimum score of 155 in verbal reasoning, 165 in quantitative reasoning and 3.5 in analytic writing GATE (CS) with a minimum score of 750 For further details, visit the homepage of the study programme .
- English language requirement
- C1 required, please provide an official language certificate, e.g.: UNIcert® English: UNIcert® III
- German language requirement
- No minimum language level required
- Application period
- Application deadlines and admission procedures for all Master’s programmes.
- Apply through
- Please check this website .
About this programme
In this research-oriented Master of Science programme, students further develop the technical and interdisciplinary competence in artificial intelligence (AI) building that they have obtained in a preceding Bachelor's degree programme in computer science. This programme of studies qualifies graduates for research and development work in both academia and industry. Set individual priorities Students have a great deal of freedom in designing their individual curriculum and can thus specialise in accordance with their personal interests. Composition of the course selection in accordance with a few compulsory elective areas ensures that students acquire the necessary basic knowledge in AI required for completing the degree as well as the AI specialist expertise and all essential capabilities for a career in AI and machine learning (ML). Practice-oriented A great strength of the degree programme are the integrated AI projects and labs. Students have the unique opportunity to participate in challenging AI projects in cutting-edge international AI research. Environment Darmstadt is Germany’s only location that is strong both in the full breadth of AI research (with leading research groups in AI Fundamentals, Computer Vision, Games, Natural Language Processing, Robotics and Systems AI) as well as in the full depth on machine learning (with well-known researchers in deep learning, statistical learning, generative models, relational learning, robot learning, reinforcement learning as w
Related pages
- Technical University of Darmstadt tuition fees
- Study in Germany: tuition fees and visa
- Germany degree programmes and their fees
- Study abroad cost calculator for Germany
- Best universities in the world
Other degree programmes at Technical University of Darmstadt
- Master of Science in Mathematics
- Master of Science in Physics
- Master of Science Tropical Hydrogeology and Environmental Engineering (TropHEE)
- Materials Science
- MSc Civil Engineering – Bauingenieurwesen
- MSc Ecology and Biodiversity
- MSc Molecular and Cellular Biology
- MSc Particle Accelerator Science
- MSc Synthetic Biology
- Cognitive Science
- Data and Discourse Studies
- Information and Communication Engineering
- Master of Science in Aerospace Engineering