Masters

Master of Science in Artificial Intelligence and Machine Learning

Technical University of Darmstadt

Darmstadt, Germany

Program Overview

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 well as data mining and data management). These AI researchers are located in the computer science department of TU Darmstadt (one of Germany’s strongest computer science departments), the Hessian Center for Artificial Intelligence (hessian.AI), and the German Research Center for Artificial Intelligence (DFKI). AI research applied to computer security and computer vision & graphics is also supported by Darmstadt’s Fraunhofer Institutes on these specific topics.

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EUR

Financials

Tuition FeesNone
Living Expenses11904 euros (living expense) plus semester contribution
Note: This programme appears tuition-free, but students should still budget for the semester contribution and living expenses.
INFO

Intakes and Duration

Intake Season

Winter (October); Summer (April)

Duration

4 semesters

CO

Career Outcomes

Software EngineerData ScientistMachine Learning EngineerSystems EngineerIT Consultant

You can always explore various career paths after completing this program. The listed options are some of the most popular among graduates.

EUR

Salary Outlook

Typical range

€60,000 – €105,000 per year

Fresher, mid-level, and experienced ranges are linked to external sources so they stay auditable for applicants.

LANG

Language & Exams

Teaching Language

English

Applicants must provide proof of their English skills: UNIcert level III, TOEFL test (paper 550, CBT 213, iBT 95), IELTS 6.5, CEFR C1 or equivalent

IELTS required (IELTS 6.5 overall)No extra certification required
REQ

Requirements

Academic Admission

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 .

APS Certificate

An APS certificate is required for applicants who have completed their qualifying education in India, China, or Vietnam.

IELTS Score

IELTS 6.5 overall

Application Deadline

Application deadlines are subject to changes. Please refer to the above university course link for the most accurate information.

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