International College Graduation Requirements |

Overview

Applied Artificial Intelligence is an interdisciplinary major offered as a Double Major or Minor. Graduation requirements differ depending on the chosen track. Students must, in all cases, complete the full graduation requirements of their primary major, including its own comprehensive examination or equivalent.

Minor Track

18 credits

Students complete 18 credits from Applied AI courses. There is no separate graduation examination or thesis requirement for the Minor track — students fulfill their primary major's graduation requirements only.

Double Major Track

36 credits

Students complete 36 credits from Applied AI courses and must additionally satisfy a graduation requirement specific to Applied AI — either a Comprehensive Examination or a Bachelor Thesis (see below).

Minor Track Requirements

Students who select Applied AI as their Minor must complete 18 credits from the Applied AI course offerings. Beyond the credit requirement, the Minor track does not impose a separate Applied AI graduation examination or thesis.

Minor students fulfill the graduation requirements of their primary major only, including the primary major's own comprehensive examination, thesis, or other equivalent requirement as defined by that department.

Double Major Track Requirements

Students who select Applied AI as a Double Major must:

Complete 36 credits from the Applied AI course offerings.
Pass the graduation requirement of their primary major.
Pass one of the two Applied AI graduation options below.

In accordance with Article 68(10) of the University Academic Regulations, double major students must satisfy the graduation requirements of both their primary major and Applied AI. Article 70 permits the comprehensive examination to be replaced by a thesis or portfolio, on which basis Applied AI offers two options:

OPTION A

Comprehensive Examination

Written examination on three designated AI core subjects.

Format: Three written examinations on subjects designated by the program's Curriculum Committee.
Subjects: Updated annually. See the Examination Subjects section below for the current academic year.
Pass criteria: Minimum 40 points per subject and an overall average of 60 points or higher (out of 100).
Eligibility: Open to graduating students who have completed the relevant coursework.

OPTION B

Bachelor Thesis

Research thesis completed through the Bachelor Thesis course sequence.

Format: A research thesis developed across Bachelor Thesis 1 (4-1) and Bachelor Thesis 2 (4-2).
Supervision: An academic advisor is assigned and provides guidance on research, writing, and research ethics.
Review: At least two full-time faculty members serve as reviewers; the thesis passes when all reviewers grade it C or higher.
Presentation: Public presentation is required prior to submission.

Selecting an Option

Students should select the option that best aligns with their academic interests and career plans. Those considering graduate study or research-oriented careers are generally encouraged to consider Option B; those seeking broader subject mastery may prefer Option A. Consult your academic advisor before making the selection.

Examination Subjects

Comprehensive examination subjects are designated annually by the program's Curriculum Committee, in line with the program's yearly curriculum review. The three designated subjects represent distinct core areas of Applied AI to ensure balanced verification of graduates' competencies.

Annual Update

The list below shows the subjects designated for the current academic year. Subjects for the next academic year will be announced through official program channels before the start of each academic year. Always confirm the current year's subjects with the program office or your academic advisor.

Designated Subjects — 2026 Academic Year

Subject	Course Offered (Year/Sem)	Core Area
Artificial Intelligence	3/1	Foundations of AI: search, logic, reasoning, problem-solving paradigms
Deep Learning Foundations	3/2	Neural network architectures, training, and deep learning fundamentals
Advanced Artificial Intelligence	4/1	Reinforcement learning, NLP, advanced optimization, autonomous systems

Subjects are reviewed and confirmed annually by the program's Curriculum Committee. This list reflects the 2026 academic year only.

Thesis Guidelines

Students who choose Option B (Bachelor Thesis) develop their thesis across the two-semester Bachelor Thesis course sequence in their fourth year.

Item	Details
Course Sequence	Bachelor Thesis 1 (4 credits, 4-1) followed by Bachelor Thesis 2 (4 credits, 4-2).
Advisor Assignment	Each student is assigned a faculty advisor who provides guidance on research design, writing, and research ethics.
Co-authorship	Up to three students may co-author a single thesis, in accordance with Article 70(3) of the Academic Regulations.
Format & Length	Format and minimum length are determined by the program. Specific guidelines are provided by the academic advisor at the start of Bachelor Thesis 1.
Review Committee	Two or more full-time faculty members serve as reviewers; the academic advisor may also serve on the committee.
Pass Criteria	The thesis passes when all reviewers assign a grade of C or higher.
Public Presentation	Public presentation is required prior to final submission, in accordance with Article 77.
Research Integrity	Any violation of research ethics results in invalidation of the thesis and deferral of graduation, in accordance with Article 79.

Regulations Reference

The graduation requirements above are based on the Dongseo University Academic Regulations Implementation Rules. The most relevant articles are:

Article 28 Credit requirements for interdisciplinary majors (double major: 36 credits, minor: 18 credits).
Article 31 Degree conferral upon completion of primary major requirements.
Article 68 Comprehensive examination requirement for graduating students; double major students must pass the comprehensive examination of both their primary major and double major.
Article 70 Replacement of the comprehensive examination by thesis, performance, or portfolio.
Articles 71–80 Procedures for thesis supervision, review, presentation, and submission.

For questions about graduation requirements or to discuss your chosen option, students should consult with their academic advisor well in advance of their final academic year.