About 40 courses ranging from basic mathematical theories used in Statistics, traditional statistical theory to new Statistics field are provided. The major basic courses of Statistics are Statistical Method and Computer Programming. After completing the basics, you have to take Mathematical Statistics 1,2. After completing the above courses, students may take major elective courses in this department or courses provided by the department of Mathematics.
Curriculum
(*[Introduction to Statistics] is classified as General education requisite, thus not counted as Major basic/ Major requisite/ Major elective)
Curriculum
Classification of courses
Courses
Major Basic
Calculus
Linear Algebra
Statistical Method
R and Python Programming (Course name before 2019-1st semester: Computer programming)
Major Requisite
Mathematical Statistics(1)
Mathematical Statistics(2)
Major Elective
Financial Statistics
Multivariate Analysis
Data Mining
Categorical Data Analysis
Bayesian Statistics
Statistics for Insurance(1)
Statistics for Insurance(2)
Nonparametric Statistics
Loss Modeling
Time Series Analysis
Experimental Design
Theoretical Statistics(1)
Theoretical Statistics(2)
Exploratory Data Analysis
Statistical Data Analysis
Data Science Sampling Theory (Course name before 2019-1st semester: Sampling Theory)
Stochastic Process for Data Science (Course name before 2019-1st semester: Stochastic Process)
Regression Analysis
Statistical Computing
Data Analysis and Design
Seminar in Statistics
Applied Statistics(1)
Applied Statistics(2)
Practice in Applied Statistics
Operation Research
Statistical Quality Control
Total Quality Management
Statistical Classification Theory
Survival Data Analysis (Course name before 2019-1st semester: Survival Analysis)
Customer Relationship Management
Statistical Edcision Theory
Applied Probability Models
Economic Statistics
Recommendation of enrollment by the department
학과 추천 수강 순서
Grade
1st semester
2nd semester
Freshmen
Introduction to Statistics
Calculus
Linear Algebra
Statistical Method
Sophomore
Methematical Statistics(1)
R and Python Programming (Course name before 2019-1st semester: Computer programming)
Regression Analysis
Exploratory Data Analysis
Junior
Mathemetical Statistics(2)
Experimental Design
Data Science Sampling Theory (Course name before 2019-1st semester: Sampling Theory)
Practical Risk Management and Statistics
Multivariate Analysis
Statistics for Insurance
Statistical Computing
Theoretical Statistics
Data Analysis and Design
Senior
Categorical Data Analysis
Stochastic Process for Data Science (Course name before 2019-1st semester: Stochastic Process)
