BSc (Hons) in Financial Technology and Artificial Intelligence
Year 1 Entry
- JUPAS (Local): At least Level 5** in 2 subjects and with HKDSE Best 5 score of 26 or above (Conversion scale: 5**=8.5; 5*=7; 5=5.5; 4=4);
- Non-JUPAS (Local) and Non-JEE (Mainland): IB score of 39 or above (or equivalent);
- JEE (Mainland): Total score within the Top 3% of the province of the examination year
Year 3 Entry
- Attained a cumulative GPA (CGPA) of 3.30 or above at the end of Semester 2 of Year 2, and
- Recommended by the Programme Leader
**** Maintain Enrollment in the Fast-track Programme****
Students are required to maintain a CGPA of 3.30 or above to stay on the Fast-track programme.
Students enrolled in the Fast-track programme can normally complete both undergraduate and taught postgraduate programmes in full-time mode within 5 years.
4 years for BSc (Hons) in Financial Technology and Artificial Intelligence + 1 year for MSc in Artificial Intelligence and Big Data Computing
Students in the fast-track programme can take up to 9 credits (30% of the credit requirement for the TPg curriculum) from the following Level 5 subjects within their Ug curriculum as alternatives to the corresponding undergraduate subjects. These credits will also contribute towards the taught postgraduate programme award.
Below are details of how Level 5 subjects, available to students in the Fast-track programme, can substitute the original subjects in the undergraduate curriculum.
|
Level 5 subjects |
Credits |
Original Ug subjects to be replaced |
Credits |
| DSAI5102 Principles of Data Science |
3 | FTAI Elective | 9 |
| DSAI5205 Introduction to Artificial Intelligence | 3 | ||
| DSAI5206 Machine Vision and Intelligence | 3 | ||
| DSAI5210 AI Security | 3 | ||
| COMP5423 Natural Language Processing | 3 | ||
| COMP5434 Big Data Computing | 3 |
For further details of the programme requirements, please refer to the PRD below.