| Location | 4F Room No.427, Dasan Hall of Economics | Website |
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| Adress | 25-2, Sungkyunkwan-Ro, Jongno-gu, Seoul, Korea |
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| Telephone | 82-2-760-0461 |
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| skkustat@skku.edu |
Statistics is the science of extracting information from data. That is, it collects, arranges, and analyzes data to solve real world problems. Consequently, statistics is a field applicable to most academic fields such as finance, business, economics, administration, social science, life science, and natural science. Therefore, the Department of Statistics at Sungkyunkwan University provides knowledge and abilities for research and working experience which include not only various statistical methodologies based on robust basic theories, but also analyses of real data and writing reports. Specifically, our undergraduate course has mainly three educational tracks which are; Statistical Theory, Statistical Methodology, and Applied Statistics.
In statistical theory, it offers basic concepts and theories for statistical thinking. From this, it is expected that students learn mathematical backgrounds in statistics related to experimental design, sampling from a population, estimation, and inference, etc. Courses related to this track are elementary statistics, calculus, linear algebra, mathematical statistics, statistical inference, stochastic process, and sampling. For deeper theory, the department recommends additional courses such as; analysis I, analysis II, and real analysis to students who pursue graduate courses.
In statistical methodology, it offers various methods to analyze data based on statistical thinking. It includes regression, design of experiment, multivariate analysis, nonparametric methods, and Bayesian methods, and so on. Also, it emphasizes statistical computing which is important for applying the statistical methods to the real world. The department provides statistical programming, statistical computation, simulation as statistical computing courses.
In applied statistics, it is expected that students learn how to analyze data, how to arrange results, and how to write a report based on statistical theory and methodology. As applied statistics courses, there are survey, biostatistics, insurance statistics, quality control, financial statistics, etc.
