Survey Statistics and Data Analytics
| Insitution: | Eötvös Loránd University |
| Faculty: | Faculty of Social Sciences |
| Course / programme name: | Survey Statistics and Data Analytics |
| Branch of Science: | Social Science |
| Level of studies: | Master |
| Qualification: | Survey Statistician and Data Analyst |
| Language of instruction: | English |
| Duration of the course / programme: | 4 semesters semesters |
| Location/city of the course: | Budapest |
| Study in Hungary link: | http://studyinhungary.hu/institution/eotvos-lorand-university-66.html |
| Facebook: | https://www.facebook.com/elteinternational |
| Instagram: | https://www.instagram.com/elteinternational/ |
| State Scholarships | Available |
The data revolution is creating a need for data analytics in a wide variety of fields. We have developed our program in response to this need.Our goal is to train data analysts who can contribute to data-driven decision making in business/industry, public administration, or social research.
Our students will be able to analyze large databases, be familiar with statistical solutions for survey-based research, and conduct online research and web analytics in scientific, governmental, and business applications. They will have knowledge of network analysis, natural language processing, be familiar with the basics of machine learning, be prepared to implement analytic solutions in R and Python, and know the basics of data analysis infrastructure (SQL, Git, and other tools). We will also provide the mathematical foundation that is essential for a deep understanding of methods and for lifelong learning.
The program also provides students with practical knowledge that introduces them to the entire process of data analytics (project management, data collection, data visualization, business communication). The program is recommended for applicants seeking a complex program that is flexible while providing a solid foundation in data analytics.
Applicants must have a BA/BBA degree in any of the following fields: Social Studies, Sociology, Applied Economics, Economic and Financial Mathematical Analysis, Commerce and Marketing.
In the case of other bachelor’s degrees: individual consideration.
If the BA degree does not meet all the necessary requirements, the applicant may be required to complete additional credits in the relevant fields during their first year of study to fulfill these requirements upon acceptance.
| Entrance examination: | Yes |
| Entrance type: | Oral |
| Minimum level of language proficiency (oral): | B2 |
| Minimum level of language proficiency (written): | B2 |
| Place of examination: | Online |
Entrance examination and selection process: The applications are examined by the Admission Board and applicants are notified of the outcome of the selection in the online application system in June. Admission letters are sent out in the online application system until the end of June.
Type of entrance examination: oral
Place of entrance examination: MS Teams
Further details of the entrance exam:
During the exam, applicants will have a discussion on 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 later edition). After each topic the corresponding parts of the Freedman et al. book are listed.
Experiments and observational studies (Freedman Part I.)
Probability: independence, product rule, addition rule, conditional probability (Freedman Part IV.)
Statistical inference: point estimate, confidence interval, why inference is useful, what has an effect on the confidence interval (Freedman Part V. and VII.)
Null hypothesis significance testing: why is it useful, null- and alternative hypothesis, significance level, one- and two-sided tests (Freedman Part VIII.)
Z-test, t-test: when are these applied, what is the difference between one- and two-sample (independent samples) tests (Freedman Part VIII.)
Chi-square tests: when are these used, what are the assumptions (Freedman Part VIII.)
Correlation: what is it used for, what are the assumptions, how to use it (Freedman Part III.)
Regression: what is it used for, what are the assumptions, how to use it (Freedman Part III.)
Reliability and validity: what do these mean, what factors influence these (Freedman Part I. and VI.)
Sampling: simple random sampling, stratified sampling, two-stage sampling, sampling design and validity, why use two-stage sampling, what is representativity (Freedman Part VI.)
Further details of selection and evaluation:
The ranking is based on the results of the entrance exam.
Applicants with a full application package will be notified about the exact time and date of application interviews conducted via Ms Teams. Applicants are responsible for having technically suitable conditions for the interview from their side.
Applicants may receive points for the entrance exam on a scale from 0 – 100 points. Applicants who do not receive at least 56 points, will not be considered for admission.
| Contact person name: | Ms. Judit Szabó |
| Contact person job position: | Departmental Coordinator |
| Contact e-mail: | statisztika@tatk.elte.hu |
| Contact website: | https://www.elte.hu/en/survey-statistics-and-data-analytics-msc |
| Contact person name: | Ms. Eszter Bagi |
| Contact person job position: | International Coordinator |
| Contact e-mail: | international@tatk.elte.hu |
| Contact website: | https://www.elte.hu/en/survey-statistics-and-data-analytics-msc |
| Contact person name: | Ms. Szilvia Kocsis |
| Contact person job position: | International Coordinator |
| Contact e-mail: | international@tatk.elte.hu |
| Contact website: | https://www.elte.hu/en/survey-statistics-and-data-analytics-msc |
| Availability of preparatory year in the Stipendium Hungaricum programme: | No |
| Availability of specialisation year in the Stipendium Hungaricum programme: | No |
| Min. students | 1 |
| Max. students | 30 |
| Availability of preparatory year in the Diaspora Scholarship programme: | No |
| Availability of specialisation year in the Diaspora Scholarship programme: | No |
| Min. students | 1 |
| Max. students | 10 |
