Fast-track Integrated Bachelors and Masters Degree Programme
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Program Overview
Fast-track Integrated Bachelors and Masters Degree Programme
The fast-track programme offers a unique opportunity for high-achieving students to complete both undergraduate and taught postgraduate studies in a shorter timeframe while benefiting from reduced tuition fees. Students can enrol in the programme either in Year 1 or Year 3, depending on their academic standing. Typically, students complete their studies within an additional year beyond the undergraduate normal study duration, with the added advantage of being able to double-count up to 30% of the credits from the taught postgraduate programme towards their undergraduate degree. Upon successful completion of this fast-track programme, graduates will receive two parchments, enhancing their qualifications and career prospects as data analysts in various competitive industries, including finance, information technology, marketing and research, consultancy, healthcare, business retail, urban planning, government, and public utilities.
Undergraduate and Taught Postgraduate Programmes
- BSc (Hons) in Data Science and Analytics
- MSc in Data Science and Analytics
Entry Path and Admission Requirements
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
Maintaining 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.
Normal Study Duration
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 Data Science and Analytics + 1 year for MSc in Data Science and Analytics
Level 5 MSc Subjects
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.
| Level 5 subjects # | Credits | Original Ug subjects to be replaced | Credits |
|---|---|---|---|
| AMA505 Optimization Methods | AMA4850 Optimization Methods | ||
| DSAI5102 / AMA563 Principles of Data Science | Elective | ||
| DSAI5101 / AMA546 Statistical Data Mining AND / OR AMA564 Deep Learning | Elective |
Remarks:
- Students are expected to complete AMA505 Optimization Methods and will be recognized as having fulfilled the requirement for the DSR compulsory subject AMA4850 Optimization Methods. Students are no longer required to enrol AMA4850.
- DSAI5101/ AMA546, DSAI5102/ AMA563, AMA564 will be included as elective subjects for students admitted to the fast-track programme.
- Students have to enrol in AMA505, and select up to 2 elective subjects among DSAI5101/ AMA546, DSAI5102/ AMA563 and AMA564 (DSAI5102/ AMA563 is the prerequisite subject of DSAI5101/ AMA546 & AMA564).