AI Programme Overview

Become an AI expert of tomorrow!


Artificial intelligence (AI) has made enormous progress in recent years and is now an integral part of our everyday lives. The demand for qualified specialists in this field is constantly growing. Industry in particular requires in-depth knowledge and a systematic understanding of AI in order to be able to apply the methods effectively in practice.

This is where the Master's degree programme in Artificial Intelligence steps in: You will deepen your knowledge of the most important principles and methods of AI, with a particular focus on machine learning and the mathematical foundations. You will also learn how these concepts can be transferred and adapted to different areas of application in artificial intelligence.

 

Master's Programme Artificial Intelligence

Qualification: Master of Science (M.Sc.)
Programme duration: 3 semesters
Programme start: Full-time
ECTS: 90
Language of instruction: English
Form of teaching On-site (online-only participation is not possible!)
Location: Würzburg
Admission requirements: Completed higher education degree of 210 ECTS and an overall grade of 2.5 or higher in the field of Computer Science at a Geman university or an equivalent qualification.
Student fees: See Department of Students Affairs (HSST)
Tuition fees: None
Application fees: None
Application period: 15 Oct. - 15 Dec. for the following summer semester

Note: Application and enrolmenr for the winter semester is not possible!

Entry Requirements


The content of the Master's degree programme takes into account the practical significance and application of artificial intelligence. Acquired knowledge and skills are applied in accompanying scientific practice by means of methodical, systematic work. The ability to carry out independent scientific work includes, in particular, the ability to critically assess existing solutions, to transfer existing knowledge to new and unfamiliar issues, as well as the structured approach to describing and solving problems using in-depth methodological knowledge.

Interested?
If you have very good to good knowledge and skills in the subject area of computer science through a relevant, theory- and practice-oriented qualification on a scientific basis, we encourage you to apply for Master's degree programme in Artificial Intelligence.

Requirements to apply for the Master's programme in Artificial Intelligence at THWS:

Completed university degree with 210 ECTS and an overall grade of 2.5 or above in the field of computer science from a German university or an equivalent degree. The less your Bachelor's degree is related to computer science, the more important it is that applicants can credibly demonstrate how their studies have focussed on computer science / mathematics.

We expect good to very good grades in all subjects relevant to the Master's degree programme, i.e. especially in mathematics and computer science (see below). Proof of this must be provided by submitting your Bachelor's degree certificate / transcript. Course certificates obtained outside of the Bachelor's programme cannot be considered as proof. Letters of recommendation from teachers or school reports cannot be considered as proof.

The following content-oriented requirements must be met from your Bachelor’s:

  1. At least 20 ECTS should have been earned in mathematics from the Bachelor's preliminary studies, which in particular provide sufficient knowledge in the areas of statistics/probability theory, (linear) algebra and calculus.

  2. At least 15 ECTS in computer science should have been earned from the Bachelor's preliminary studies, which provide sufficient knowledge both in practical computer science (e.g., demonstrated by courses in databases, operating systems, software engineering or distributed systems) and in theoretical computer science (e.g., demonstrated by courses in algorithms and data structures, automata theory, complexity theory or logic).

  3. We strongly recommend ready-to-use programming skills (e.g. in Python), which are typically demonstrated by work samples from programming projects, internships or laboratories. For this purpose, you can either upload your own source code to public repositories (github, gitlab, bitbucket, etc), or, in the case of work experience, provide a qualified employer's reference stating your programming experience.

  4. We strongly recommend providing access to the applicant's final thesis as proof of their scientific work (if possible, with the corresponding source code).

These requirements are to be understood as a minimum to be able to successfully study and complete the Master's programme.

(Updated: 10/2024)