Big Data Application Department
Major course graduation requirements
Article 4 (Graduation credits)
The minimum graduation credits for the Big Data Application major is 120 credits.
Article 5 (Major Credits)
① The courses offered for the Big Data Application Major are the same as ‘Appendix 1 Curriculum Schedule’ and are classified as shown in the table below. In particular, the elective management subjects that accounting and taxation majors are recommended to take in order to acquire basic knowledge about business administration and strengthen connectivity and expertise with accounting and taxation departments are specifically presented in [Appendix 1].
division |
Subject name (number of credits) |
Major basics |
Management Statistics (3), Management Academy Theory (3), Accounting Principles (3), Responsible Management (3) |
Major
required |
Big data applied subjects |
Big Data Programming 1 (3), Big Data Mathematics (3), Big Data Statistics (3), Graduation Thesis (Big Data Applications) |
Management subject group |
Choose 3 from Management Information System (3), Marketing Principles (3), Financial Management (3), and Organizational Behavior Theory (3) |
Choose a major |
Big data subject group |
Big Data Seminar (3), Big Data Programming 2 (3), AI Basics and Applications (3), Introduction to Big Data (3), DB Basics and Applications (3), Social Network Science (3), Machine Learning Basics and Applications (3), Big data decision analysis (3), Big data platform (3), ESG data analysis (3), Big data analysis consulting (3), Deep learning basics and applications (3), Big data algorithm (3) , Recommendation system (3), big data marketing (3), big data analytics (3), AI big data ethics (3), financial big data processing theory (3), big data research methodology (3), AI big data economics (3) 3), Independent Deep Learning 1 (Big Data Applications) (3) |
② Those who wish to complete accounting and taxation as a single major or multiple majors must complete the required major credits specified in these enforcement regulations.
Major type
classification |
Credits earned for graduation |
Liberal Arts
(Humanitas) |
Major credits |
Major subtotal |
Major basics |
Major required |
Select major |
Single major |
120 |
29 |
12 |
18 |
33 |
63 |
Multiple majors |
120 |
29 |
12 |
18 |
9 |
39 |
Single Major Course: Single majors in Big Data Applications must complete at least 63 major credits, including 12 major basic credits and 18 major required credits. However, to select a major, you must take at least 24 credits in the big data application group, and you can select up to 9 credits from the major elective courses (Appendix 2) provided by the Business Administration major.
Multi-major course: A student majoring in big data application who completes another major as a multi-major course, or a student in another major who completes the big data application major as a multi-major course, includes 12 major credits and 18 required major credits. You must complete at least 39 credits. However, to select a major, you must complete at least 9 credits in big data application subjects.
Article 6 (Graduation Thesis)
① The graduation thesis is not conducted separately, and those who pass the graduation exam are deemed to have passed the graduation thesis examination stipulated in Article 57 (Graduation Thesis) of the school regulations.
② Those who take the big data application major as a single major or multiple majors must pass the graduation exam set by the major.
③ Those eligible to take the graduation exam must be those who have completed the 3rd year or higher and are enrolled or currently completing the course.
④ Matters related to the overall operation of the graduation exam, including questions and examinations, are determined by the College of Business.
⑤ The graduation exam can be replaced in the following cases:
1) Those who have earned credits by completing one of field training (short-term/long-term) or startup field training
2) Lead author (title) in a journal registered by the National Research Foundation of Korea (candidate for registration) or an international academic journal (SCOPUS/SCI/SCIE/SSCI level) 3) Those who published papers as first author or corresponding author
3) On or off campus [government, local government, public institution, recognized academic group or association, registered civic group (volunteer group) or private group (corporation), etc.] A person who has received awards and meritorious achievements or has won a prize in an accredited competition related to his or her major and received approval from the department head
4) A person who has participated as a key executive in the establishment or management (operation) of a startup or start-up business (company) and received approval from the department head
Article 7 (Multi-major course)
① If a student majoring in another college other than the College of Business Administration completes the Big Data Application major as a multi-major, he/she can take the other major courses after taking the three courses of Business Statistics, Business Administration Theory, and Accounting Principles as a prerequisite.
② When majoring in multiple majors within the College of Business Administration, some major subjects are recognized as duplicates. Specifically, if a big data application major is completing the business administration major (or big data application major) as a multiple major in a business school, he or she may complete the credits for each major and the total major credits shown in the table below.
③ If a big data application major completes multiple majors from another department or university, the curriculum enforcement regulations of the major shall be followed.
Article 8 (Recognition of other major subjects)
① For single majors, up to 9 credits of major courses from other universities or departments, including major courses from other majors within the College of Business Administration, are recognized as major elective courses.
② The subjects recognized by other majors in the Big Data Application Major are the same as ‘Appendix 2, Other Major Recognition Subjects’.
Article 9 (Completion of graduate school courses)
① Starting from the second semester of the third year, undergraduate students can take up to 9 credits of graduate school courses that are permitted, and the earned credits are recognized as credits for major elective courses.
② In order to take graduate courses, the student must have a GPA of 3.4 or higher in the previous grade, obtain permission from the professor in charge of the course, and obtain approval from the department head of the undergraduate and graduate schools.
Article 10 (Completion of other subjects)
① Overseas training credits, employment/entrepreneurship school-related credits, teaching-related credits, etc. may be recognized as major and liberal arts credits in accordance with the applicable university regulations.
Article 11 (Major course for transfer students and transfer students)
In the case of transfer students and transfer students, credits other than those recognized when obtaining academic records must be earned in accordance with the provisions of these regulations.