Artificial Intelligence and Machine Learning

Master of Science; tuition language: English

The following English language content is for information purposes only. The legally binding content can be found on the corresponding German website.

Please note:

If the required entrance competencies cannot be verified based on the submitted application documents, applicants will be required to take a 90-minute written Entrance Exam held on campus at TU Darmstadt (no remote or off-site sittings possible).

The Entrance Exam usually takes place in the first week of September for applicants for the winter semester and in the first week of March for applicants for the summer semester.

Submission of valid GRE or GATE scores meeting the specified thresholds may qualify applicants for exemption from the Entrance Exam.

Description

In this research-oriented Master of Science programme, students further develop their technical and interdisciplinary competencies in the areas of artificial intelligence (AI) and machine learning (ML) building on a preceding computer science bachelor's programme. The programme qualifies graduates for research and development work in basic research or in industry.

Module Handbook

Study Regulations with Semester Course and Examination Schedule

Course Catalogue

Departmental Programme Information

Departmental Admissions and Application Guide

Department of Computer Science

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Semesters 4
Language English C1. Individual courses can be offered in German. Please be aware that scientific literature is be read and edited also in German.
Start of studies Winter semester, summer semester
Internship ---
Admission requirements 1. A degree B.Sc. Informatik of TU Darmstadt (reference programme) or an equivalent degree.


At least 60 ECTS credits must not differ significantly from the core courses of the B.Sc. Informatik programme at TU Darmstadt (reference programme).
The Academic Eligibility Checklist (opens in new tab) (PDF, opens in new tab) is to be used to compare your previous coursework with these core courses; partial overlaps are to be counted proportionally.

2. Englisch C1;

3. additional requirements:
Entrance requirements verification
Competences description
Academic Eligibility Checklist (opens in new tab) (PDF, opens in new tab)
Admission procedure Provided that the admission requirements (content-related evaluation and formal prerequisites) are met, there are no numerical admission restrictions.
If the required entrance competencies cannot be verified based on the submitted application documents, applicants will be required to take a 90-minute written Entrance Exam
held on campus at TU Darmstadt (no remote or off-site sittings possible).
The Entrance Exam usually takes place in the first week of September for applicants for the winter semester and in the first week of March for applicants for the summer semester.

The Entrance Exam usually takes place in the first week of September for applicants for the winter semester and in the first week of March for applicants for the summer semester.
Submission of valid GRE or GATE scores meeting the specified thresholds may qualify applicants for exemption from the Entrance Exam.
Application Application portal and application deadlines
How and when to provide the certification of the bachelor's degree
Formal and language requirements for applicants with international qualifications

Please note:
Applications may be submitted for several degree programmes in total.
However, for the degree programmes listed below, only one programme may be applied for per admission period.
M.Sc. Artificial Intelligence and Machine Learning,
M.Sc. Computer Science,
M.Sc. IT Security
Good to know Costs and budget
Preparatory courses for international students
Pre-Courses, orientation week, getting started
Double Degree Programme
Study Abroad
Part-time studies
Doctoral Studies
TU Darmstadt Career Service
Alumni careers

Related Degree and Teaching Degree Programmes

Related Degree Programmes

Autonome Systeme und Robotik (M.Sc.)

Computational Engineering (M.Sc.)

Computer Science (M.Sc.)

Informatik (M.Sc.)

Informationssystemtechnik (M.Sc.)

IT Security (M.Sc.)

Wirtschaftsinformatik, (M.Sc.)

Related Teaching Degree Programmes

Informatik, Lehramt an Gymnasien

Informatik, Lehramt an beruflichen Schulen

TU Darmstadt Career Service

Alumni careers

Graduates of the M.Sc. Artificial Intelligence and Machine Learning are successful in a variety of professional fields in the upper IT sector, ranging from the classic job description of software developer for complex IT problems involving AI solutions to AI-related services such as AI consultants and research and development.