JS6377Bachelor of Engineering and Master of Science in Engineering in Artificial Intelligence in Engineering
工學學士與人工智能理學碩士聯合課程
JUPAS JS6377 is Bachelor of Engineering and Master of Science in Engineering in Artificial Intelligence in Engineering at The University of Hong Kong. 2025 admission median: 5.7 (LQ 5.5). Among 382 scored JUPAS programmes tracked here, it ranks #33 by latest median. Within Engineering and Technology, rank #7 of 124 (subject average median 4.4). At The University of Hong Kong: #14 of 57 programmes. Competition ratio 5.2 (~5 applicants/place). Interview: 選擇性. Below: multi-year scores, requirements and FAQ.
Admission Data(2025)
Based on the average level of best subjects — the higher the number, the higher the entry bar (max 7 = 5**).
Application & Admission Statistics (2025)
"Bands" group applicants by where they placed this programme among their JUPAS choices (Band A = choices 1–3, the most sought-after). A higher Band A share indicates a more competitive programme. Places offered is the programme intake. Data from public JUPAS admission statistics, for reference only.
JS6377 Multi-year Admission Scores
Year-by-year admission median and lower quartile for JUPAS JS6377 (Bachelor of Engineering and Master of Science in Engineering in Artificial Intelligence in Engineering). Use this series to judge whether competition is rising or easing — not as a guaranteed cut-off.
| Year | Median | Lower Q | vs prev |
|---|---|---|---|
| 2025 | 5.7 | 5.5 | — |
Subject context: average median in Engineering and Technology is 4.4. JS6377 at 5.7 is at or above that subject average.
Minimum Entrance Requirements
JS6377 Interview
According to programme data, JUPAS JS6377 (Bachelor of Engineering and Master of Science in Engineering in Artificial Intelligence in Engineering) interview status is: 選擇性. Interview format, weighting and schedule can change each cycle — always confirm on the official JUPAS / university page before applying.
Scoring Method
Frequently Asked Questions
- What is the JS6377 admission score?
- Based on 2025 data, the admission median score for The University of Hong Kong Bachelor of Engineering and Master of Science in Engineering in Artificial Intelligence in Engineering (JUPAS JS6377) is 5.7, with a lower quartile of 5.5.
- How competitive is JS6377 (Bachelor of Engineering and Master of Science in Engineering in Artificial Intelligence in Engineering) at The University of Hong Kong?
- In 2025, the competition ratio for JUPAS JS6377 was 5.2 — about 5 applicants per place.
- What is the tuition fee for Bachelor of Engineering and Master of Science in Engineering in Artificial Intelligence in Engineering?
- The annual tuition fee is HK$47,000.
- Does JS6377 require an interview?
- JUPAS JS6377 (Bachelor of Engineering and Master of Science in Engineering in Artificial Intelligence in Engineering) interview status: 選擇性. Check the official JUPAS page for the latest interview format and weighting.
- What are the minimum entry requirements for Bachelor of Engineering and Master of Science in Engineering in Artificial Intelligence in Engineering?
- The minimum DSE subject requirements are: Chinese 3, English 4, Mathematics 4, Citizenship & Social Development 1.
- How selective is JS6377 compared with other JUPAS programmes?
- By latest admission median (5.7), JS6377 ranks #33 among 382 scored programmes on ubanding, and #7 of 124 in Engineering and Technology, #14 of 57 at The University of Hong Kong. Rankings use median score only and are not official university ranks.
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Related programmes in the same subject
- JS4733 Mathematics and Information EngineeringThe Chinese University of Hong KongScore 6.6
- JS6303 Bachelor of Engineering Elite ProgrammeThe University of Hong KongScore 6.1
- JS5901 BEng/BSc & BBA Dual Degree Program in Technology & ManagementThe Hong Kong University of Science and TechnologyScore 6
- JS4416 Computational Data ScienceThe Chinese University of Hong KongScore 5.9
- JS6248 Bachelor of Arts and Sciences in Financial TechnologyThe University of Hong KongScore 5.9
- JS4468 Artificial Intelligence: Systems and TechnologiesThe Chinese University of Hong KongScore 5.8

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