미세먼지관리, 특성화대학원
CategoryRequirements for graduation |
Master's | Doctoral | Master's and Doctorate Integrated | |
---|---|---|---|---|
Course credits | per a subject : 3 credits | |||
Course registration | Minimum: 3 credits / Maximum: 12 credits | |||
Credit Approval | Only GPA 2.0 / 70%(c) or higher are recognized as credits received. | |||
Credit Requirement | 24 credits or more(thesis submitted) B grade(GPA 3.0, 80 %) or above |
36 credits or more B grade(GPA 3.0, 80%) or above |
54 credits or more B grade(GPA 3.0, 80%) or above |
|
Requirements for graduation | Track course Requirement | Complete one of Big data convergence AI track and Smart measurement and analysis track | ||
Research Performance | - | At least 1 article published at KCI-listed (candidate) or higher journals as a lead authors | ||
English Exam |
|
|||
Pass Score : Minimum 60% score | Pass Score : Minimum 70% score | Pass Score : Minimum 70% score | ||
Major Exam |
Eligibility : 12 credits or higher, GPA 3.0 or higher Exam Subject : 3 subjects Pass Score : 60% or more in each subject |
Eligibility : 24 credits or higher, GPA 3.0 or higher Exam Subject : 5 subjects Pass Score : 70% or more in each subject |
Eligibility : 27 credits or higher, GPA 3.0 or higher Exam Subject : 5 subjects Pass Score : 70 % or more in each subject |
|
Exam period : in May and November every year | ||||
Thesis | Prerequisite : completed 24 credits or expected to complete the semester | Prerequisite : completed 36 credits or expected to complete the semester | Prerequisite : completed 54 credits or expected to complete the semester | |
(However, the English test and the major qualifying test must be passed first before submitting the thesis.) | ||||
Class Year Limit | 2 years (4 semesters) | 3 years (6 semesters) | 4 years (8 semesters) | |
Enrollment Year Limit | 5 years (from the date of admission) | 8 years (from the date of admission) | 10 years (from the date of admission) |
CategoryRequirements for graduation |
Contents | |
---|---|---|
Course credits | per a subject : 2 or 3 credits | |
Course registration | Minimum: 2 credits / Maximum: 9 credits | |
Credit Approval | Only GPA 2.0 / 70%(c) or higher are recognized as credits received. | |
Credit Requirement | 30 credits (not submitted a thesis) / 24 credits (submitted a thesis), with an average of B grade(GPA 3.0/80 %) or higher | |
Requirements for graduation | Track course Requirement | Complete one of Big data convergence AI track and Smart measurement and analysis track |
Major Exam |
Eligibility : Register for 4 semesters at least, acquire 18 credits or more, GPA 3.0 or higher Test subjects : 3 subjects / Passing score: Each subject – 60 % or more Test period : in April, May, October, and November every year |
|
option | English Exam |
Pass (optional – required for thesis submission) Eligibility: Enrolled students / Passing score: 60 % or more (Exemption: for international students, or students who have achieved TOEFL IBT 76 or higher, or TOEIC 700 or higher, submit their report cards within 2 years to the department office at the time of the exam) Exam period: in April or October every year |
Thesis |
Pass (optional) Prerequisite: completed 24 credits or expected to complete the semester (However, you must pass the major qualifying test and English test first before submitting the thesis) |
|
Class Year Limit | 2 years and 6 months (5 semesters) | |
Enrollment Year Limit | 5 years |