Department of Statistics and Actuarial Science at Soongsil University is the only department in Korea, which has both
an statistics tract that develops data analysis capabilities which are core competencies of the future society and
an actuarial science track that maximizes the synergy between statistics and actuarial science.

Major Roadmap

Major Roadmap

Statistics and Actuarial Science (Major: 2020~2021 applied)

The undergraduate curriculum of the Department of Statistics and Actuarial Science is largely divided into statistics and actuarial science. Students can complete the course track according to their chosen career path and advance into various fields. The following courses are opened by grade.

Grade First Semester Second Semester
Division Subject Division Subject
First Grader Required General Chapel Required General Chapel
Required General Academic Writing in English 1 Required General Academic Writing in English 2
Required General Peace and Unification of the Korean Peninsula Required General AI and Data Society
Required General Computational Thinking Required General Reading and Discussion
Required General Thinking and Expression Required General Modern People and the Bible
Elective General Selected by GE area Elective General Selected by GE area
Basic Major Subject Statistics Basic Major Subject Statistical Methodology
Basic Major Subject Calculus1 Basic Major Subject Calculus2
Basic Major Subject Statistical Mathematics Basic Major Subject Programming and Practice
Second Grader Required General Chapel Required General Chapel
Required General Entrepreneurship and Behavior
Elective General Selected by GE area Elective General Selected by GE area
Required Major Subject Mathematical Statistics1 Required Major Subject Mathematical Statistics2
Required Major Subject Regression Analysis1 Elective Major Subject Regression Analysis2
Elective Major Subject Basic Deep Learning Elective Major Subject Computational Statistics1
Elective Major Subject Financial Mathematics1 Elective Major Subject Actuarial Science
Elective Major Subject Insurance Principles
Third Grader Required General Chapel Required General Chapel
Elective Major Subject Estimation and Hypothesis Test Theory Elective Major Subject Multivariate Analysis
Elective Major Subject Experimental Theory Elective Major Subject Simulation
Elective Major Subject Sampling Theory Elective Major Subject Quality Control
Elective Major Subject Computational Statistics 2 Elective Major Subject Actuarial Model Theory 2
Elective Major Subject Actuarial Science2 Elective Major Subject Financial Mathematics2
Elective Major Subject Actuarial Model Theory1
Fourth Grader Elective Major Subject Categorical Data Analysis Elective Major Subject Stochastic Process Theory
Elective Major Subject Time Series Analysis Elective Major Subject Decision Making Theory
Elective Major Subject Management Science Elective Major Subject Data Mining
Elective Major Subject Pension Mathematics Elective Major Subject Special Lecture on Actuarial Science
Elective Major Subject Deep Learning Analysis Elective Major Subject Big Data Distributed Computing

Introduction of Characteristics Subjects

Programming and Practice and AI and Data Society (second semester and fourth semester)
Computer programming is an essential skill to analyze big data, which means large-capacity or unstructured data. The advantage of our department, which differentiates itself from the statistics curriculum of other university statistics departments, is that subjects that develop programming skills are open over four years. Through these three courses, which are offered from 1st year to 2nd year, students learn basic skills in programming languages such as C, Python, and R and study them in-depth.
Computational Statistics 2 and Simulation (fifth semester and sixth semester)
These two courses, opened in the third year, introduce statistical numerical analysis methods and statistical simulation methods using “R,” which is an open software and powerful statistical analysis tool. Students learn various statistical numerical analysis methods in Computational Statistics 2 and develop their ability to solve problems through simulations in Simulation, which is an in-depth subject. Through these courses, students will gain the confidence to use computers to solve statistical problems.
Data Mining (eighth semester)
In many cases, only the existing theoretical and standard methods are insufficient to identify the information hidden in the data. This subject allows students to learn about statistical learning, resampling method, linear and nonlinear model selection, tree model, support vector machine, unsupervised learning, etc., which are essential methods to become a competent data scientist. Students practice these methods through computer programming.
Actuarial Science 1 and 2 (forth semester and fifth semester)
Actuarial science deals with mathematical topics related to the actuarial work of life insurance companies. Students look at the insured's survival model and cash flow of life insurance products, and learn about the method of calculating net insurance premiums and reserves, and the analysis process of actuarial gains or losses. This is the most important subject related to the preparation for the actuary qualification exam.
Pension Mathematics (sixth semester)
The pension mathematics provides basic knowledge about general pension systems and the retirement pension system paid for the welfare of workers . Students acquire practical knowledge about insurance premium and reserve calculation, accounting, taxation procedures for a defined benefit retirement pension system that pays a fixed amount of pension to workers after retirement.
Actuarial Risk Management (eighth semester)
This subject allows students to learn the contents of financial engineering necessary for them to understand the latest insurance products. Students learn the basic concepts of risk management, the concepts of derivatives including futures, options, and swaps, and the principles of profit structure and pricing. After completing this course, they can enter for the domestic and foreign actuary exam.
Actuarial Practice 1 & 2 (seventh semester and eighth semester)
The purpose of this subject is to help students who have decided on a career in the actuarial field to have practical competitiveness. The lecture is conducted using "Prophet", a world-class actuarial software. Students study practical topics such as insurance premium determination, debt assessment, and risk management, and they learn how to use “Prophet” for these business purposes. This subject is conducted by inviting top experts in the insurance industry. Both fourth undergraduate and graduate students can take this course, and those majoring in the actuarial field must take this subject.