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  • Master Data Science


    Campus der Universität Bielefeld
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Application procedure Master Data Science

The application procedure for the Master's programme in Data Science (study model 2011) is carried out online. General information on the online application procedure at Bielefeld University can be found here. The application documents must be submitted in full within the application period - usually from June 1 to July 15 for a start in winter semester. The current deadlines for applications can be found on the pages of the Studierendensekretariat [Student Office].

Notes on the application documents

Notes on the application documents

In addition to the documents required by the Student Office, the following documents must be uploaded as a mandatory pdf document (see also: Subject-specific regulations [here in English] item 2):

1. (Preliminary) Transcript of Records with (preliminary) final grade, i.e. a current news of Achievement (a (preliminary) final document with a (preliminary) final grade and/or a current Transcript of Records or corresponding meaningful documents). Important: A (preliminary) final grade must be shown! As an alternative to the Transcript of Records, you can also upload your summarized Certificate of Achievement.

2. Module descriptions of the degree programme, i.e. a Module Guide or comparable descriptions that provide help desk information about the individual course of study, the completed modules or the subject profile of the completed degree programme. If the document is too large to be uploaded, you can also provide us with a link via which we can access the documents.

3. Proficiency in English either verified by a language test (TOEFL or equivalent) or by a qualifying degree from an English-speaking institution. Admission also requires that the applicant has a proven knowledge of the English language, as the courses in the programme are taught entirely in English. Proof is deemed to have been provided if the applicant has a language certificate (in particular TOEFL (87 points in the internet-based test), IELTS (with a score of at least 5.5), UNIcert (level II), Cambridge (Certificate in Advanced English)) generally recognised by German universities, which proves at least a language level of level B2 of the Common European Framework of Reference for Languages (CEFR), or a comparable certificate, see Guidelines of Bielefeld University on the language level in German and English. A certificate from a state or state-recognised school (e.g. German Abitur) or university that explicitly shows English language skills at level B2 of the CEFR also counts as proof of language proficiency. If the university entrance qualification or an English-language university degree was obtained in Australia, Ireland, Canada, New Zealand, the United Kingdom, or the United States of America, no further language certificate is required.

German language skills are beneficial for studying, but do not have to be proven. The experience of past cohorts shows that basic knowledge of the German language (at least level A2 of the CEFR) makes a strong contribution to the successful completion of the degree programme.

If already available, please optionally submit the following documents as well:

1. Diploma supplement, which is usually handed out with the degree certificate. As an alternative to the Diploma Supplement, you can also upload a document showing the course contents (Examination Regulations, Subject-specific regulations or Module Guide).

2. Bachelor 's degree certificate or the certificate of the degree programme which is the admission requirement or the degree certificate of the first university degree with final grade.

The submitted documents serve as the basis for assessing your suitability. In addition to a formal examination of your degree, an assessment is made of the following acquired in the degree programme you completed:

  • knowledge in computer science,
  • knowledge in mathematics and
  • knowledge in statistics.

Furthermore, your final grade will be taken into account when assessing your suitability. Further information on the assessment can be found under "Notes on the evaluation".

Note: Any additional knowledge and qualifications acquired outside the curriculum of the qualified degree can be taken into account when awarding points if they compensate for missing competencies in terms of the criteria listed above. Please prove with transcript of records or similar.

Notes on the evaluation

In order to ensure the success of the study, it is necessary that students have knowledge and skills in the areas of computer science, mathematics and statistics in addition to the language skills in English. The benchmark for the necessary knowledge and skills for the Master's degree programme are the mathematical and statistical competences taught in the 1-subject Bachelor's degree programme of Business Administration and Economics at Bielefeld University (profile Data Science) as well as the competences in Computer Science taught in a Bachelor's degree programme of the Faculty of Technology at Bielefeld University, since the Master's degree programme conceptually builds on these.

There must therefore be approval for the three subfields of computer science, mathematics and statistics.

In the approval procedure it is checked to which extent

  • knowledge in computer science,
  • knowledge in mathematics and
  • knowledge in statistics

are available. For this purpose, the corresponding knowledge is evaluated with 0 - 2 points (computer science and statistics) or 0 - 1 points (mathematics). If there is no minimum standard (0 points) in one of the sub-areas, no approval can be given.

Furthermore, the final grade is taken into account in the assessment of eligibility. Depending on the (preliminary) grade point average, 1, 2, 3 or 4 points are awarded.

A degree is therefore qualified for approval if the subject requirements are proven by academic achievements, i.e. at least one point is achieved in each case and a total of 6 of the 9 points are obtained.

Access decision, special cases and consultation

Please note that a final notification of your application for a study place will be sent via the online application portal. The basis of this decision is the Faculty's Access examination. Please take into account that decisions can only be made on the basis of complete documents. Your eligibility will be assessed on the basis of your application documents, which will be evaluated according to our Subject-specific regulations (here in English). Sections 2 and 3 of the Subject-specific regulations tell you everything you need to know about the approval and admission procedure.

Suitability (= admission) is not the same as a study place (= approval). If there are more suitable applicants than study places, an Allocation procedure is carried out. Thus, there is a possibility that despite suitability, you will still not be offered a study place. Please note that after receiving a Notice of admission, you must accept the study place within the set deadline. Further details are explained in the Notice of admission. A general explanation of the approval and admission procedure can be found here.

Special regulations apply to pupils with foreign school or university education. More information for the application process at Bielefeld University for pupils with a foreign school or university education can be found on the website of the Student Office.
Information for further special cases in the application process (e.g. Case of hardship/hardship case) can be found here.

If you have any questions regarding the content of the degree programmes and the admission decision, please contact the Academic Counselling Service.
If you have general questions regarding the application procedure and the online application portal, please contact the Student Office.

Explanation of the expected knowledge and the considered (preliminary) final grade

(see also Subject-specific regulations for the master 's degree programme Data Science, here in English):

A degree is therefore qualified for approval if the subject requirements are proven by academic achievements, i.e. at least one point is achieved in each of the three subfields and a total of 6 of the 9 points are achieved.

  • 0 points: The required competencies are not present.
  • 1 point: Advanced programming skills.
  • 2 points: Additional user knowledge in at least two subfields of computer science.
  • 0 points: The required competencies are not present.
  • 1 point: Basic understanding in calculus and linear algebra.
  • 0 points: The required competencies are not present.
  • 1 point: Basic understanding of inferential statistics (specification, estimation & verification of statistical models; see Modules 31-M3 Statistik).
  • 2 points: Understanding of advanced classical statistical analysis methods (e.g., time series analysis, Bayesian statistics, nonparametric statistics, econometrics, ...).

Consideration of the (preliminary) average grade

  • (Preliminary) final grade of qualifying degree from 1.00 to 1.59: 4 points
  • (Preliminary) final grade of qualifying degree from 1.60 to 2.59: 3 points
  • (Preliminary) final grade of qualifying degree from 2.60 to 3.59: 2 points
  • (Preliminary) final grade of qualifying degree from 3.60 to 4.00: 1 point
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