중앙대 응용통계학과

Graduate (Statistics and Data Science)

Programs

Courses

Course Code	Course Title	Credits	Category
54904	Seminar in Advanced Statistics	3	Major
	A seminar course focused on the latest statistical theories and methodologies. Students engage in collaborative research and analysis to cultivate creative research ability.
48447	Advanced Stochastic Processes	3	Major
	Covers applications of probability theory, introducing models such as Poisson processes, renewal processes, Markov chains, and martingales, with analysis of their properties and applications.
28021	Data Mining	3	Major
	Examines methods for discovering hidden patterns and relationships in large datasets, with focus on various data mining techniques used for information exploration.
55043	Big Data Multivariate analysis	3	Major
	Studies multivariate techniques widely used in high-dimensional big data analysis, including PCA, causal analysis, clustering, multivariate regression, and MANOVA, with in-depth theoretical foundations.
54902	Big Data Demand Forecasting	3	Major
	Introduces methods for exploring, analyzing, and forecasting big data time series, with emphasis on newly developed demand forecasting methodologies and related computer programming.
92820	Big Data Statistical Computing	3	Major
	Focuses on computational methods used when theoretical solutions are infeasible, emphasizing big data analysis techniques and related computer programming.
32831	Biostatistics	3	Major
	Discusses statistical methods applied in health, medicine, and environmental sciences, with applications using real data.
57768	Advanced Biostatistics	3	Major
	Examines statistical methodologies used in clinical trials, including sample size calculations.
10706	Survival Analysis	3	Major
	Introduces statistical models used in medicine and engineering, analyzing properties of models with censored data and inference of parameters.
11192	Theory of Linear Model	3	Doctoral Major Req.
	Discusses formulation, estimation, and hypothesis testing of various linear models widely used in social science research.
11821	Mathematical Statistics	3	Master’s Major Req.
	Covers probability distributions and statistical inference, the foundations of statistical theory.
12132	Time Series Analysis	3	Major
	Introduces theory and modeling of time-dependent economic phenomena, including AR and MA models.
31423	Advanced Time Series Analysis	3	Major

90408	Theory of Experimental Design	3	Major
	Discusses theoretical foundations of experimental design, including one-way and two-way ANOVA, and handling of missing data.
52945	Forecasting Principles and Practice	3	Major
	Introduces forecasting methods for time series data, including decomposition, exponential smoothing, and ARIMA models, with applications using computer software.
50827	Applied Statistics	3	Master’s Major Req.
	Reinforces fundamentals of statistical inference, regression analysis, experimental design, categorical data analysis, and introduces basics of Bayesian inference.
57152	Sequential Monitoring Analysis	3	Major
	Studies procedures in sequential analysis, with applications to monitoring social and engineering processes. Includes SPRT, sampling inspection, and control chart methodologies.
57929	Statistical Algorithms for Private Data Analysis	3	Major
	Examines the importance of data security in the big data era, focusing on statistical methods such as differential privacy, and applying them to statistical learning models.
57226	Deep Learning with Python	3	Major
	Introduces various deep learning techniques and their implementation using Python.
54903	Environmental Science Bayesian Analysis	3	Major
	Covers Bayesian statistics including prior and posterior distributions, estimation, hypothesis testing, and computation using MCMC, with applications in environment and health.
56942	Environmental Health Longitudinal Data Analysis	3	Major
	Studies methods for correlated data analysis in environmental and health fields, including marginal models, GEE, linear mixed models, and GLMMs.
54903	Environmental Health Categorical Data Analysis	3	Major
	Covers categorical data analysis methods frequently used in environmental and health fields, including chi-square tests, handling of missing data, and GLMs, with applications using programming.
56241	Environmental Health Big Data Analysis	3	Major
	Explores data mining and machine learning methods for analysis and model development using big data in environmental and health fields.
25042	Theory of Regression Analysis	3	Doctoral Major Req.
	Covers fundamental regression models, residual analysis, goodness-of-fit tests, and applications to real data.
18366	Studies in Major Field I	2	Major Research
	A supervised research course to prepare for thesis work.
18372	Studies in Major II	2	Major Research
	A supervised research course to prepare for thesis work.
18376	Studies in Major III	2	Major Research
	A supervised research course to prepare for thesis work.