Master's degree programme Artificial Intelligence
Facts and figures
Degree programme:
Artificial Intelligence
Degree:
Master of Science (M. Sc.)
Admission:
No admission restrictions
THWS location:
Würzburg, CAIRO and Campus Sanderheinrichsleitenweg
Faculty:
Computer Science and Business Information Systems
Study mode:
Full-time degree programme
Duration:
3 semesters standard time to degree
Language:
English
Semester fees:
None (student services fee only (Studierendenwerksbeitrag); approx. EUR 150)
Start of studies:
Summer Semester
(15 March)
Application period:
Annually,
15. October
till
15. December
Contact
Contact personProgramme directors
Professor Dr.-Ing. Pascal Meißner and
Professor Dr. Andreas Lehrmann
mai.fiw[at]thws.de
Academic Advisory Service
studienberatung@thws.de
Degree programme website
Degree programme Artificial Intelligence
Apply now
Information for internationals
Master's degree programme Artificial Intelligence
Shape tomorrow through intelligent technology
Would you like to actively contribute to the digital transformation, understand data-driven systems, and develop new AI applications? The English-taught master's degree programme Artificial Intelligence at the Technical University of Applied Sciences Würzburg-Schweinfurt (THWS) offers you an in-depth, research-oriented education in the forward-looking field of artificial intelligence. Apply your analytical skills, broaden your methodological knowledge, and get ready for a career at the interface between science, industry, and society.
Reasons to study Artificial Intelligence at THWS
Advantages of the degree programme:
- English-taught programme targeting international AI careers
- Your lecturers work in AI research and can thus transport the latest findings to their lectures
- Practice-oriented studies through team projects and early integration in ongoing research projects
- Individual focuses through electives, e.g. in the fields of autonomous systems, generative AI models, or entrepreneurship
- Ethics and law are a firm part of the curriculum
- Excellent supervision through small groups and personal exchange with the lecturers
- Diverse opportunities to go abroad due to our partner university network
- No study fees! Receive an excellent, English-taught education without the high fees usually charged in other countries
Three good reasons
Study contents
The three-semester master's degree programme combines theoretical knowledge with practical application. The focus is on methods of artificial intelligence, in particular machine learning and mathematical foundations. You will learn to critically question existing solutions, apply existing knowledge to new and complex issues, and solve problems systematically and methodically. Elective modules allow for individual specialisation. Practical projects and early involvement in AI laboratories promote independent academic work and prepare you optimally for your future career or doctorate.
Programme structure
1: Main studies (1st and 2nd semester)
In the first semester, you will lay the methodological and mathematical foundations for your in-depth understanding of artificial intelligence, with a particular focus on machine learning. A scientific seminar will help you to systematically address your own research questions. In the second semester, the focus will be on specialised areas of application such as robotics, language processing, and image processing, supplemented by ethical and legal dimensions. In an extensive practical project, you will work in a team on complex problems, apply your knowledge and further develop your ability to critically analyse and structurally solve real-world challenges.
2: Final phase (3rd semester)
In the third semester, you will independently work on a scientific question as part of your master's thesis. In doing so, you will demonstrate that you can evaluate existing solutions in a well-founded manner, transfer existing knowledge to new contexts and work on challenging problems in a structured manner with in-depth methodological knowledge. You may also write your master's thesis in cooperation with a company or at an international partner university. You can hone your profile with additional elective modules.
Specialisations
Specialisations provide you with the opportunity to choose an individual focus for your studies. Among others, we offer the following elective modules:
- Computational Creativity
- Deep Generative Modelling
- Entrepreneurship for Engineers
How are studies at THWS particularly practice-oriented?
- Continuous practical exercises in teaching
- Practical projects and early involvement in research practice
- Professors with extensive experience in industry and economy
- Cooperation with companies and research institutes, also internationally
- Promotion of final theses written in cooperation with a company
Career and perspectives
There is a huge demand for AI experts in all areas of application in industry and research. With your master's degree in Artificial Intelligence, you will have numerous career opportunities in AI, data science, cognitive computing, and many other exciting fields. Since artificial intelligence is an interdisciplinary field, the programme focuses on a broad basis. You will gain knowledge in the fields of computer science, mathematics, physics, and cognitive science and expand your range of skills so that you are well equipped to meet the diverse requirements of AI. After graduation, you will be ideally prepared to advance the development of AI systems in science, research, or industry. You will also qualify for management positions in which you can take responsibility for the further development, integration, and secure operation of AI technologies.
Possible professional fields include:
- Development of AI systems and intelligent applications
- Machine learning and deep learning
- Data science and big data analytics
- Cognitive computing
- Research and development in companies or academic institutions
- Software development in AI and data-based systems
- IT consulting and technology management
- Automation and intelligent production processes (e.g. Industry 4.0)
- Product and project management in technology
- Ethical analysis, regulation and governance of AI systems
Is Artificial Intelligence the right master's degree programme for you?
If you have good to very good knowledge and skills in computer science, proven through a relevant theory- and practice-based academic qualification, we would like to encourage you to apply for the master's programme in Artificial Intelligence.
The English-taught, research-oriented master's programme offers you the opportunity to deepen the knowledge from your studies in computer science or a related discipline. You will develop application-oriented and methodological skills in the field of AI and learn how to conduct academic work independently in an academic manner. Upon graduation, you will be able to choose and apply suitable AI approaches. Your knowledge will enable you to develop intelligent systems and tackle new, practice-oriented issues. The programme is particularly suitable if you would like to work on future-oriented technologies in an international, English-speaking environment.Admission requirements
To be admitted to the programme, a bachelor's degree with 210 ECTS and an overall grade of 2.5 or better in the field of computer science from a German university or an equivalent degree is required.
In order to apply for this programme, you will additionally need to submit the application form available from the website of the Faculty of Computer Science and Business Information Systems.
For more detailed information on the admission requirements of this master's degree programme, please see the website of the faculty in charge. Specific requirements are also indicated in the programme's Study and Examination Regulations.
Please also see the language entrance requirements.
Your interests and abilities
- Enthusiasm for artificial intelligence and its applications
- Good or very good knowledge of mathematics and computer science
- Interest in independent, methodological work
- Ready-to-use, advanced programming skills, ideally using Python
- Willingness to conduct interdisciplinary project work
- Academic thinking and structured problem-solving
- Interest in ethical and legal issues surrounding digital technologies
- Motivation to learn and work in English in an international environment
Application
You have already completed study achievements and thus want to apply for a higher semester? Contact our Department of Student Affairs.
in the summer semester
Do you have unanswered questions?
You can contact the programme advisor, i.e. a professor of the field of study you are interested in and can ask them your questions.
During the THWS Taster Sessions, you can attend a variety of lectures in the degree programme of your choice and get valuable first impressions of life on campus.
