Survey Statistics and Data Analytics Eötvös Loránd University

Overview

Students will be able to analyse 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 programme in Survey Statistics and Data Analytics at Eötvös Loránd University 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 programme is recommended for applicants seeking a complex programme that is flexible while providing a solid foundation in data analytics.

Career opportunities

The program has the advantage of adapting to the complex needs of the labor market. Our graduates can design research based on either questionnaire, digital or administrative data sources. We want to provide our students with the opportunity to develop a learning path and career path that suits their own interests, whether they want to use applications of data analytics based on artificial intelligence or quantitative tools of market research.

The program includes a six-week internship, and we have decades of experience working with renowned business figures. This, combined with the knowledge gained in the program, enables our graduates to choose from a wide range of job opportunities. They are typically employed in data-intensive sectors: public administration, info-communication, financial services, market and public opinion research, marketing, non-profit sector, healthcare and pharmaceuticals. At the same time, many of our graduates are working in research institutions or in higher education, as the program also prepares them for doctoral studies, potentially in all the disciplines covered by the program (applied mathematics, statistics, social sciences, computer science).