Application and Admission

The academic background required for the Human-Centred Artificial Intelligence M.Sc. program includes skills and competencies in (according to section 5.1.1 of the Master’s Qualification Process):

• Empirical and statistical research (12 ECTS?are required), such as?competencies in descriptive and inferential statistical methods

• Natural language processing and/or?information retrieval (18 ECTS?are required), such as knowledge about embeddings, text summarisation, and information extraction

• Programming?(12 ECTS?are required), such as competencies in databases, algorithms, and object-oriented programming

• further courses?in the field of Information Science, Data Science, Mathematics, Computer Science or its application fields?(12 ECTS?are required), such as competencies in task models, machine learning methods, and linear algebra

A total of 54 ECTS?must be achieved for admission, i.e. the given number of ECTS must be achieved in all areas.

As part of the Assessment process, we check whether you meet these academic requirements. We use the curricular analysis form you complete and the module catalog of the?Bachelor degree program in Infomation Science at the University of Regensburg?as the basis for this.

In addition to the required academic qualification, you need:

• A?university degree?with at least six semesters of standard study time (180 credit points) with an average?grade of?at least 2.5?(for foreign degrees, the conversion is carried out according to the modified Bavarian formula). If your degree certificate is not yet available at the time of application, you can also apply if you have already earned 138 credit points in your studies - the following also applies: your transcript must show a provisional overall grade of at least 2.5.
• English language?proficiency of at least?level B2?(CEFR). The language level must be proven by a?certified language test; if the final thesis (Bachelor's thesis) was written in English, proof is provided.
• If you did not obtain your qualification for postgraduate studies (usually a bachelor's degree) in Germany, you must apply for a?preliminary documentation (VPD)?from?uni-assist,?additionally to the UR?application.?From 22 March 2025, the VPD can be applied for at uni-assist for the Master degree program.
• If you have not completed your first university degree (Bachelor's degree) in a signatory state of the so-called?Lisbon Convention?(Convention on the Recognition of Qualifications concerning Higher Education in the European Region of April 11, 1997), you need a “Graduate Record Examination (GRE) General Test”?(GRE test) with the following values:
  Analytical Writing (AW): at least 4.0
  Quantitative Reasoning (QR): at least 164
  Register for the test?here?using institutional code 1651.

The following documents have to be submitted for the application (the required documents may vary depending on the applicant):

• A copy of your?passport
• Your?CV?(in English)
• Bachelor's?degree certificate, including a list of courses and grades OR an official?transcript of records. Documents not issued in German or English must be translated and notarized by a sworn translator.
• Curriculum?(module descriptions, course catalog or syllabus) of the underlying university degree; this document is very important for the check of your academic qualification!
• The?form for the analysis of curriculum?(see below)
• Proof of your?English language proficiency?of at least level B2 (CEFR). The language level must be proven by a?certified language test; if the final thesis (Bachelor's thesis) was written in English, proof is provided.
• GRE?score (if you have not completed your undergraduate degree in a signatory state of the so-called?Lisbon Convention?(Convention on the Recognition of Qualifications concerning Higher Education in the European Region of April 11, 1997))
• Preliminary documentation (VPD) from?uni-assist?for all applicants with a Bachelor's degree from outside Germany.?From 22 March 2025, the VPD can be applied for at uni-assist for the Master degree program.
• APS?certificate (if you have an undergraduate degree from China, India or Vietnam)
• Certificates from professional training or additional qualifications related to the program (e.g. participation in research competitions, internships, etc.) (not mandatory

You have to apply for the Master's degree program via the?Campusportal of the University of Regensburg?(UR).?After you have created your account, enter contact data and information about your education, and upload the required documents. The application is done completely electronically.

Prospective students with undergraduate studies (Bachelor's degree) from outside EU/EEA and Switzerland have to request a?preliminary examination documentation from uni-assist (VPD)?in advance.

Applicants who?have not completed their undergraduate degree in a signatory state of the so-called?Lisbon Convention?(Convention on the Recognition of Qualifications concerning Higher Education in the European Region of April 11, 1997)) need a “Graduate Record Examination (GRE) General Test”?(GRE test) with the following values:
Analytical Writing (AW): at least 4.0
Quantitative Reasoning (QR): at least 164
Register for the test?here?using institutional code 1651

International applicants for the Master's degree program, regardless of their citizenship, are all applicants who have obtained their university entrance qualification and/or their first university degree (Bachelor) outside Germany.

At the UR, the International Office is the first point of contact for all international applicants. Above all, it helps with all application questions that do not specifically concern the Master's program. It is our expert for questions about university entrance qualifications, visas, health insurance, language certificates and all topics related to studying (housing, financing, etc.).?The International Office provides extensive information on all these topics on its website.

In the case of the M.Sc. Human-Centred Artificial Intelligence, international applicants should note that the follow