Entrance Examination

Type of entrance examination: Oral
Place of entrance examination: Online

Applicants with a complete application package will be notified after the application deadline about the exact date and time of the admission interview, which will be conducted via MS Teams. Applicants are responsible for ensuring that they have suitable technical conditions for participating in the interview.

Admission Decision

After the admission interview, applicants will be informed of the selection outcome through the online application system within approximately one month. Passing the oral entrance examination is a prerequisite for admission. If an applicant does not pass the oral entrance examination, the application will be rejected. If the offer is accepted, the Letter of Acceptance will be sent through the online application system as soon as possible, as specified in the offer decision.

Based on the results, certain applicants may be placed on a waiting list. Final results are expected by the first half of August.

Preparation for the Interview

During the exam, applicants will discuss one of the topics listed below. The topics are based on Freedman, D., Pisani, R., & Purves, R.: Statistics, 4th edition. W. W. Norton & Company, 2007 (or a later edition). The corresponding parts of the Freedman et al. book are indicated after each topic.

Recommended Readings

1. Experiments and observational studies (Freedman Part I.)
2. Probability: independence, product rule, addition rule, conditional probability (Freedman Part IV.)
3. Statistical inference: point estimate, confidence interval, why inference is useful, what affects the confidence interval (Freedman Parts V and VII.)
4. Null hypothesis significance testing: why it is useful, null and alternative hypotheses, significance level, one- and two-sided tests (Freedman Part VIII.)
5. Z-test and t-test: when these are applied, and the difference between one- and two-sample (independent-samples) tests (Freedman Part VIII.)
6. Chi-square tests: when these are used and what the assumptions are (Freedman Part VIII.)
7. Correlation: what it is used for, what the assumptions are, and how to use it (Freedman Part III.)
8. Regression: what it is used for, what the assumptions are, and how to use it (Freedman Part III.)
9. Reliability and validity: what these mean and what factors influence them (Freedman Parts I and VI.)
10. Sampling: simple random sampling, two-stage sampling, sampling design and validity, why two-stage sampling is used, and what representativity means (Freedman Part VI.)

Entry Requirements

Full credit value can be considered for the following programmes: from the field of social sciences, Social Studies, Sociology, International Studies, Political Science, Library and Information Science and Social Science; from the field of economics, Applied Economics, Human Resources, Business Administration and Management, Economic Data Analysis, Finance and Accounting, Business Data Science, Economic and Financial Mathematical Analysis, and Commerce and Marketing; from the field of humanities, Psychology; from the field of computer science and information technology, Business Informatics, Computer Engineering, Computer Science Operational Engineering, and Computer Science; from the field of natural sciences, Mathematics and Physics Bachelor’s programmes.

Other Bachelor’s programmes in the fields of natural sciences, engineering, agriculture, state sciences, humanities, law, and computer science and information technology, as well as other Bachelor’s programmes in economics and social sciences, may also be considered, subject to a credit assessment of previous studies.

In these cases, applicants must have at least 30 relevant credits, including at least 10 credits in social sciences and/or economics, covering theoretical and practical knowledge in these fields, and at least 20 credits in mathematical and applied statistics, including statistics, linear algebra and analysis, probability theory, data analysis, and social research methodology.

Applicants must have at least 15 of the required 30 credits at the time of admission. Any missing credits must be completed in accordance with the university’s academic regulations.

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