A Graduate School Orientation Brochure

1. Introduction of Graduate School

Contact : Department office phone
Tel : (062) 530-3440
Fax : (062) 530-3449
Location : University of Natural Sciences Hall 1 No. 207
Homepage : http://stat.jnu.ac.kr

Educational Aim for Statistics Major

Statistics is the discipline, which paves the way to the correct decision in an objective and scientific way. To that end, it collects data from different sources such as nature and complex society, and summarizes them in an appropriate way to reach the reasonable explanation about the problem at hand. Statistics not only play a key role in solving problems raised in many different disciplines, but also have a huge effect on the our society ranging from practical areas such as weather forecast and opinion poll to specialized areas such as finance, agriculture, medical science, and energy technology.

With the advent of fourth industrial revolution era, the interest in Statistics is getting larger and the demand on the role of Statistics is steadily increasing. Reflecting this situation, our department teaches basic concept and fundamentals of Statistics, theoretical properties and development of statistical model, and computation skills for data analysis. In addition, we continue to develop new classes dealing with the problems emerging in the contemporary society. We then teach the newly developed classes as well as currently operating curriculum in order to train technical professionals who fit the fourth industrial era based on AI technology.

We encourage our students to do research on topics such as big data analysis and the development of statistical model, for solving the real problems raised by many different industry such as finance, agriculture, medical science, and energy technology. Through the collaboration along with industry, we aim to foster the ability to solve the real problem that industry faces, not the problem in textbook. Furthermore, we make global connection with outstanding oversea universities, and provide our students with the chance to work with international scholars.

Based on the knowledge from education, our student will have the ability to solve the real problem, to understand the principle behind nature, and to reasonably explain the phenomenon happening in complex society. Therefore, our ultimate educational goal is to produce the versatile scientists of excellent research ability equipped with statistical knowledge , who is competent in the fourth industrial era based on AI technology.

Education Goal for Data Science Major

Data science can be defined as a discipline that extends statistics to handle not only conventional structured data such as categorical and continuous data, but also unstructured data such as images and texts. Data science can analyze the data of size from tens to tens of milions, but is more useful for big data of a scale that is difficult to be analyzed with existing statistical packages. In particular, big data processing technologies such as distributed processing and parallel computing play an important role to extract meaningful knowledge and information from big data, and innovative algorithms such as machine learning and deep learning are considered important to effectively handle unstructured data. In addition, the data science methodology is very suitable for analyzing unstructured data, so it can be easily integrated with a wide range of domains such as humanities, law, art, medical care, and finance.

In this department, the education process is specialized to nurture data science specialists. Department curriculum in computer science, data science, and domain (medicine/finance/agriculture/energy) subjects and continuous industry-university cooperation help students to have convergence industry competency and to enhance research competitiveness in the big data field by encouraging research in related fields. In addition, we are nurturing global innovative talents through international exchanges programs and joint research with excellent scholars in overseas universities with the establishment of a global network.

With the development of high-performance computing, big data, and the Internet of Things in the era of the 4th industrial revolution, the importance of data analysis and processing technology increases, and the demand for data analysis experts is rapidly increasing. Therefore, the educational goal is to train data scientists and data analysts with competitiveness in each their research field to lead the 4th industrial revolution.

For more information about graduate school, please contact the TA or the head of the department of statistics.

2. Introduction of Professors

2. Introduction of Professors
name	Lab	Research area
Professor Young-sook Son	Bayesian Statistics Lab	- Time Series Prediction - Bayesian Statistical Inference - Data Mining
Professor Jeong-soo Park	Applied/weather Statistics Lab	- Analysis of extreme weather data using generalized extreme distribution (weather observation data, ((non)-stationary) - Development of new statistical methods for extreme data analysis (r-large four Kappa distribution) - Applied/weather statistics study using machine learning and deep learning (detailed, ensemble, convenient calibration) - Calibration study using neural network and gaussian process(emulator development) - Climate change prediction using weather/climate big data
Professor Jang-sun Baek	High-dimensional data analysis Lab	- Development of clustering/classification methods for high-dimensional data - Mixture of Factor Analyzers for clustering high-dimensional data - Clustering methods for categorical, mixed data - Development of clustering/classification methods for matrix data - Hybrid methods of deep learning technique and statistical model for clustering
Professor Il-su Choi	Environmental/Ecological Statistics Lab	- Environmental ecology statistics (biostatistics, disease dynamics statistics) - Mathematical Biology
Professor Myung-hwan Na	Agricultural Big Data Lab	- Reliability Theory - Statistical Quality Control - Big data Analysis - A study of artificial intelligence medicine - Smart Factory and Smart Farm Research
Professor Eun-sik Park	BioStatistics Lab	- Statistical Approach to the Association Between Climate Changes/Air(Fine Dust) Pollution and Disease - Categorical/Longitudinal/Repeated Data Analysis - Statistical Methods in Medical/Biological Research - (Big) Data Visualization
Professor Min-soo Kim	Multivariate Statistics Lab	- Financial statistics (credit risk measurement) - Pattern recognition (Korean alphabet recognition/advisory recognition) - Wavelet - Multivariate Statistics Analysis - Image processing
Professor Jae-sik Jeong	Bioinformatics Lab	- The development of methods controlling local false discovery rate - Biomarker discovery by using multiple testing procedure - Research on the preprocessing of metabolomics data - The development of pipeline for the analysis of metabolomics data
Professor Bong-gyun Ko	Explainable Artificial Intelligence (XAI) Lab	- Keyphrase extraction and application study based on natural language processing (NLP) - Generation of disease progression using generation model - Development of decision support system by improving iexplainability of model
Professor Jeong-gyu Huh	Machine learning-based financial engineering Lab	- Evaluation and hedge of derivatives using machine learning - Bayesian Neural Network-Based Financial Time Series Modeling and Prediction - Optimizing financial investment strategies using reinforcement learning

3. Graduate School Admissions Guide

Recruitment Unit : Department of Mathematics and Statistics, Graduate School of Natural Sciences

ligibility Requirements

전형방법- 구분, 특별전형, 일반전형
A degree course	Eligibility Requirements
Master's program	Applicants must, before they are enrolled, hold, or expect to hold a bachelor's degree .
Ph.D. program	Applicants must, before they are enrolled, hold, or expect to hold a master's degree
MA-Ph.D. Integrated Program	Applicants must, before they are enrolled, hold, or expect to hold a bachelor's degree

※ NOTE

1) Prospective graduates must have a degree by the end of August 2021 to be eligible for admission (the same domestic and foreign universities).
2) Prospective graduates are based on the grade average up to the acquisition grade as of the date of submission of the application (cutting below three decimal places and reflecting only two decimal places).
3) Undergraduate transfer student graduation (scheduled) reflects the results of a university (all university records before the final transfer include only those recognized by the final transfer university).

4. Graduate School Life

The overall facilities and tools required for graduate work are provided within the department. In other words, research materials such as personal desks and bookcases required for study, and related facilities, S/W, and book facilities are provided sufficiently for education and research of graduate students.
Students exchange information with each other through various seminar activities.
Students can develop practical skills based on theory through statistical counseling, etc.
Various conditions are created to allow students to freely study in their desired fields, and they live in a friendly atmosphere between professors and graduate students.

5. Graduate Scholarship

대학원 장학금
1. Scholarships exempting tuition fees based on grades
- In principle, scholarships for each semester shall be awarded in order of grades.
2. Scholarships by research assistant (RA), education assistant (TA), and BK education assistant (TA)
Research Assistant (RA)	A student who is recommended by a full-time professor who does not have a job among the graduate school students at our university.
Teaching Assistant (TA)	A full-time student who does not have a job among graduate students at our university who is recommended by the head of an institution (department).
BK Teaching Assistant (TA)	Students who participate in BK21 project recommended by a supervisor (scheduled) selected for BK21 project
3. Scholarship as an assistant researcher based on professor's research funds
4. Counseling fees by statistical counseling
- Master's degree and participation in doctorate courses
5. Instructor fees for SAS/SPSS courses
6. BK Scholarship
- Research scholarships paid to graduate students who participate in the project with state-funded funds, and scholarships are paid to each business group through its own regulations.급 - Selection period : Every semester (two times a year) - More than 700,000 won per month for master's program, 1.3 million won for doctoral program, 1 million won per month after doctoral completion
7. Suburban scholarship
▷ Graduate School of Science and Engineering Research Scholarship (Governed by the Korea Science Foundation of the Ministry of Science and Technology) - Objectives : To improve research competency during coursework for excellent domestic students in master’s and doctoral graduate programs in the field of science and engineering, and to cultivate competencies as new researchers in the future. - Project Basis : Same as the National Scholarship for the science and engineering field - It is promoted every year in accordance with the “Plan for Graduate School of Science and Engineering Research Scholarship” of the Korea Science Foundation. ▷ Other Scholarship Foundations and Individual Scholarship - Scholarships from scholarship organizations that designate certain qualification requirements (place of birth, family background, major, grades, etc.) are selected and distributed in accordance with the qualification requirements. - Outside scholarships that do not specify qualification specification are open to general students and are paid on the recommendation of a department head or higher official. - The types of outside scholarships paid to graduate students are as follows with each foundation selecting anywhere from 1 - 6 people, and the scholarship amount varying from 1,000,000 KRW to full tuition and fees. Seoul Science Fellowship KBS Kang Tae-won Foundation Scholarship LG Yonam Foundation Scholarship The Samil Foundation Scholarship CNU Alumni Association Scholarship Korean Sanhak Foundation Scholarship Yeolyura Chamkkae Foundation Scholarship Ubong Foundation Scholarship Hajung Scholarship Foundation Scholarship Korea Electric Association Scholarship

6. Career After Graduation

Graduate students who wish to find a job after completing master's degree, they may enter research institutes in statistics-related fields, various large corporations, and small and medium enterprises. Specifically, graduate works in SAS Korea, UNIBOSS, LG-EDS researchers, Hyundai Motor's computer room, Hyundai Electronics, Bank's computer room, Meteorological Research Institute, Information and Communication Research Institute, and AC Nielsen Korea.
If a graduate student wants to proceed to the doctoral program, they can proceed to the doctoral program of this graduate school, study abroad, or graduate school of another university. While attending or after completing Ph.D. program, They can work as a part-time lecturer in statistics at universities or colleges in Gwangju and Jeollanam-do as well as at Chonnam National University, gaining lecture and research experience. And after obtaining a degree, they can work as a researcher at a statistical research institute, as a post doctor, or as a full-time professor.

7. Graduation and Program Completion requirements

Master and Ph.D Common factors

● Master and Ph.D. Common factors

Restriction of course credits

In principle, students must take up to 9 credits each semester.
Students shall take up to 6 credits each semester. However, if the average GPA of the previous semester is 4.0 or higher, you can take up to 9 credits.

Selection and completion of supplementary credits

The selection of supplementary credit recipients for master's degree admissions shall be determined by the professors' meeting based on the report card obtained in the bachelor's course, and the supplementary credit recipients shall obtain a total of six credits of undergraduate course mathematical statistics.

Recognition of credits from other graduate schools' credits

Prior to entering the graduate school, credits obtained from domestic or foreign graduate schools (including research courses) can be accepted up to nine credits for master's degree and up to 12 credits for doctorate courses. However, the number of credit-certified subjects and credits shall be determined by the professors' meeting.

Foreign language test scores and exemptions

- Among the qualification tests for submission of degree papers, both master's and doctoral courses shall be one subject for the foreign language test.
- Current status of foreign language test exemption scores for each subject (exempt if each score is higher than or equal to)

* Qualification of application: A person who has completed at least one semester of master's/doctoral/combined master’s and doctoral program and obtained approval from an advisor.

* Test exemption criteria

Korean	Chonnam National University Language Education Center Conversation Course	TOFEL		TOEIC	TEPS	NEW TEPS	IELTS
		CBT	IBT	TOEIC	TEPS	NEW TEPS	IELTS
	Complete at least 3 levels	173	61	590	468	251	5.0
Foreigner	Chonnam National University Language Education Center Conversation Course	TOPIK
Foreigner
Complete at least 2 levels	Grade 2

Comprehensive test

* Qualification and exemption criteria for application

	Master’s Program	Doctoral Program	Combined Master’s and Doctoral Program
Eligibility for application	Completed at least 18 credits	Completed at least 27 credits	Completed at least 45 credits
Examination subject	★ Refer to the application course
Exemption criteria	Total average score 4.2 or higher OR The first author of a NRF-listed journal (including a candidate journal) or SCI (SSCI) registered within the period of enrollment and completion.

* However, the department of mathematics and statistics (major in mathematics) also recognize the correspondence author.

* Including online registration

★ Examination subject

Statistics	Data Science
Statistics	Before Admissions in 2020	After Admissions in 2021
Theory of Statistical Inference 2, Regression Analysis	Selecting one of the following three ① Theory of Statistical Inference 1 + Regression Analysis ② Theory of Statistical Inference 1 + Multivariate Statistical Analysis ③ Ordinary Differential Equations + Numerical matrix theory	machine learning, Deep Learning

How to select an advisor and whether to limit the number of guidance students per advisor.

- The guidance professor for the incoming student shall be determined by listening to the student's hope and opinions of the professor of the department before the end of the first semester.
- There is no restriction on the number of guidance students per professor.

Master's program

● Master's program

Graduation credits

- Completion of curriculum : 24 credits (at least 15 credits are required for statistical departments)
- GPA 3.0 or higher

Early completion

- If their GPA is 4.3 or higher by the second semester and obtaine more than 24 credits
※ Admission to the academic and master's degree-linked courses: Early competion is possible if their GPA is 3.0 or higher.

Graduation

- Graduation requires at least 4 semesters.

Essential subject

Statistics		Theory of Statistical Inference 1, Theory of Statistical Inference 2
Data Science	Before Admissions in 2020	Selecting one of the following three ① Theory of Statistical Inference 1+ Regression Analysis ② Theory of Statistical Inference 1 + Multivariate Statistical Analysis ③ Ordinary Differential Equations + Numerical matrix theory
Data Science	After Admissions in 2021	Machine learning, Deep Learning

Doctoral program

● Doctoral program
Graduation credits	- Curriculum completion : 36 credits (at least 21 credits are required for statistical departments. However, if students have completed your master's degree in this department, at least 18 credits are required) - GPA 3.0 or higher
Early completion	- If their GPA is 4.3 or higher and obtain more than 36 credits by the third semester
Graduation	- Graduation requires at least 4 semesters.

MA-Ph.D. Integrated Program

● 석,박사 통합과정
Graduation credits	- Completion of curriculum : 54 credits (at least 30 credits are required for statistical departments) - GPA 3.0 or higher
Early competion	- If their GPA of 4.0 or higher until the fifth semester and who has obtained more than 36 credits
Graduation	- Graduation requires a minimum of 9 semesters.

8. Dissertation

1) Requirements for requesting a dissertation for a degree (department laws)

학위논문청구 자격요건(학과내규)
Master Program	Doctoral and Combined Master’s
1 presentation at an academic conference held by a national conference or branch, or one or more papers must be published as the first author in the academic journal of the Korea Research Foundation.	One or more papers must be published or scheduled to be published as the first author in the SCIE journal.

2) Dissertation proposal
- A foreign language test pass (exemption), a comprehensive test pass (exemption), and submission of the dissertation plan are required before submitting dissertation proposal.
- Qualification : A person who has completed the course before or who is eligible for the course of the semester

3) Presentation date of the disseration plan and dissertation proposal

3) 논문작성계획서 및 학위청구논문 발표 시기
Semester	Presentation date of the dissertation plan	Presentation date of dissertation proposal
Semester	Presentation date of the dissertation plan	The first	Secondary
Spring Semester	Thursday, the second week of March.	Thursday, the fouth week of April.	Thursday, the second week of June.
Fall Semester	Thursday, the second week of September.	Thursday, the fourth week of October.	Thursday, the second week of December.일

* If a student submit a research plan for the dissertation. The student's advisor must have the student present the dissertation proposal.

4) Examination

4) 심사
* Appointment and qualification of committee member
- The judges are appointed from among full-time professors, emeritus professors, and equivalent authority at the university, and the number of judges should be 5 or more for doctoral programs and 3 or more for master's programs. - The inclusion of external judges and restrictions on the number of judges be determined by the department's internal regulations. - The chair of the dissertation evaluation committee shall be a member who has been recommended by the head professor of the department among the judges except for the advisor or co-advisor.
* Dissertation Evaluation
- The dissertation evaluation must be conducted under the supervision of the chair of the dissertation evlauation committee and presentations must be made at least 3 times for the doctoral degree and at least 2 times for the master's degree including oral defense of dissertation. - Oral defense meeting must be held at least once under the supervision of the head of each department and majo. - The dean of the college collects the graduation-related documents including the report of the dissertation result for each department and submits it to the president of the university. - Passing Criterion : at least 2 of 3 members agree.(Master’s Program) at least 4 of 5 members agree.(Dortoral Program) - Foreign students admitted by signing an agreement with an overseas university may undergo their dissertation defense abroad.

5) Submission documents Documents to be submitted

5) 제출서류
(1) Doctoral program
- The chair of the dissertation evaluation committee: One copy of the approval letter, one copy of the result table, one copy of the review summary (written by the judges), one copy of the defense schedule, and three copies of the interim report - Committee member: One copy of the approval letter, one copy of the result table
(2) Master's program
- Committee member: One copy of the approval letter, one copy of the result table
(3) Conducting similarity test using plagiarism prevention program (Turnitin or Copykiller) and documents to be submitted
① Persons subject to mandatory similarity test: All preparers of a thesis requesting a master's or doctoral degree - Choose between Turnitin and Copykillers, (a paper written in Korean-copykillers, a paper written in English-turnitin are recommended.) ② Documents to be submitted after the similarity test is conducted - Turnitin Users: 1 original report, 1 digital receipt - Copykiller user: 1 copy of inspection result confirmation
(4) Title change request form(only if the title changes)
(5) Dissertation extension request form (only if the review period is extended)