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.
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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. |