數據科學及人工智能榮譽理學士

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School of Science and Technology
OPEN FOR
JUPAS
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Non-JUPAS
(Local)
Mainland
(NCEE)
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Overseas
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Programme Code
JUPAS
Non-JUPAS (Local) / Mainland(NCEE) / Overseas
Non-JUPAS (Local) / Overseas
Year 1 Entry :
Year 1 Entry :
Senior Year Entry :
•Language: English


School of Science and Technology
OPEN FOR
JUPAS
space...
space...
- Year 1 Entry
Non-JUPAS
(Local)
- Year 1 Entry
- Senior Year Entry
Mainland
(NCEE)
space...
- Year 1 Entry
Overseas
space...
space...
- Year 1 Entry
- Senior Year Entry
Programme Code
JUPAS
Non-JUPAS (Local) / Mainland(NCEE) / Overseas
Non-JUPAS (Local) / Overseas
Year 1 Entry : JSSU70
Year 1 Entry : BSCHDSAIJ1
Senior Year Entry : BSCHDSAIJS
•Language: English •Subsidy: SSSDP & NMTSS(Local)
Introduction

This programme nurtures talents who can harvest useful insights from a vast amount of data, to meet the market needs for the effective and efficient use of data in the digital world nowadays, fostering a better world. Students will be able to manipulate data stored in different sources, explore useful patterns via math/statistical and machine learning skills, interpret the numerical results, summarize meaningful findings and convey the messages to other parties effectively. Topics from Statistics, Mathematics, Computing and Economics are addressed in this program. To ensure our students to acquire appropriate skills, regular meetings with various parties are arranged. The programme curriculum is suggested by industry professionals, scholars and employers in business sectors.

 

To meet the employers’ expectations, our curriculum incorporates SAS Institute official training materials and therefore students can take the Industrial certification (e.g. SAS programmer & SAS predictive modeler) examinations right after the completion of the respective courses.

 

Admission Requirements and Application
Choose your admission route to see specific requirements and submit application:

聯招申請

非聯招申請 (本地)

內地生申請 (應屆高考)

直接申請(非本地)