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1. Educational Goals
2. Degree Programs
| Programs | Graduation Requirement | Major Subjects | Research Subjects |
|---|---|---|---|
| Master Programs | 30 credits | 24 credits | 6 credits |
| PhD. Programs | 45 credits | 30 credits | 15 credits |
| Integrated Master & PhD Programs | 63 credits | 48 credits | 15 credits |
3. AdmissionsTest
| Programs | Test Subjects | Remarks | |
|---|---|---|---|
| Major 1 | Major 2 | ||
| Master's Degree | Theory and Applications of Reinforcement Learning, Advanced machine learning, Advanced Topics in Machine Learning 1, 2 Advanced Database Data Statistics Distributed and Parallel Programming Advanced Algorithm Advanced Operating System Technology Intelligence Information Retrieval Advanced Information Protection Advanced Computer Vision Advanced Human-Computer Interaction |
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| PhD's Degree | |||
| Integrated MS-PhD Degrees | |||
* Eligibility: All candidates must complete a minimum of 18 credits in major subjects and obtain a minimum grade point average of 3.0.
* Acceptance: Candidates must obtain a minimum of 60 points in each test subject of the respective degree program: Those who are not offered admission are welcome to apply again in a future application year.
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