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Data Application for Business


Please refer to the Chinese version for details。

 

Medium of Instruction

Chinese / English

 

Duration
  • 180 Hours

 

Programme Leader

Dr Alan Tam

 

Area of Study and Training

Business and Management

 

Qualifications Framework

Level 3

Enquiries

 

 

 

Course Introduction

課程涵蓋商業數據收集、量度及分析方法的技巧和知識,讓學生掌握從數據中發掘營商及商業發展的有用資料, 向企業提供商業建議。課程亦有助學生將來於數據科學或有關課程的進修。

 

 

Course Features

提升學習效能 幫助學生將本科目與高中其他科目的知識融會貫通(數學、通識教育及企會財)。加強

  • 語文能力 – 書面和口頭呈交研究報告
  • 數學能力 – 資料處理和分析
  • 資訊能力 – 資訊處理及演示和通訊效率
  • 人際溝通技巧與社會責任
提升及增益
  • 透過應用商業概念(如商業數據分析的角色、需要評估、商業數據分析技巧),擴在企業、 會計與財務概論科學習的廣度和深度
跨域互惠
  • 知識面向香港、亞洲甚至國際的不同商業機構,進行業務分析
  • 數學科學到的概念和理論(如函數及圖像、離差的度量、統計的應用及誤用),可應用於本科,以鞏固並加強兩個科目的學習
  • 資訊及通訊科技科學到的概念和理論(如辦公室自動化軟件的應用和資訊演示),可應用於本科,以鞏固並加強兩者的學習
開拓空間
  • 沒有修讀企會財科目的學生,透過學習商業數據應用,擴闊視野及加強對商業知識的全面認識
協同及整固學生的學習
  • 學生透過商業數據應用專題研習,可與已有知識作整合
建立學生的共通學習能力
  • 學生共同撰寫研究報告,增強同學的溝通能力
  • 決定研究範疇、分析數據、評論不同見解等,有助培養學生的邏輯思考及表達能力
  • 學習以小組形式進行,增強學生的人際技巧和責任感
  • 與業界溝通,培養同學的職業志向

 

 

 

Qualifications Framework

The qualification of this programme is recognised under the Qualifications Framework (QF).

QF Level: 3

QR Registration No. : 19/001227/L3

Registration Validity Period: 01/01/2020 - 31/12/2024

 

 

 

 

 

 

 

Programme Structure

單元一:數據和資料

1.1    數字、數據和資料的性質

1.2    數據和商業

1.3    數據和經濟增長

1.4    數據處理

1.5    法律要求和專業操守守則

單元二:數據應用

2.1    社交媒體

2.2    零售

2.3    市場營銷

單元三:有用的零售資料

3.1    零售數據來源

3.2    從數據產生資料

3.3    零售資料例子

3.4    未來趨勢

3.5    從業員分享

3.6    參觀營運商

單元四:專題研習

4.1    目標

4.2    專題研習計劃和設計

4.3    數據收集和分析

4.4    報告(口頭和書面)

 

Learning Progress Report

Notes for Learning Progress Report

 

Duration

180 Hours

 

Medium of Instruction

Chinese / English

 

Assessment

Oral presentations, written reports, case studies, quizzes, etc.

 

Teaching activities

Organization visits, group discussions, case studies, role-plays, workshops, seminar, etc.

 

 

 

 

 

There are two study modes for this course:

 

Mode 1:
Students attend classes at HKIT Campus

 

Class Schedule

Saturday: 9:30am – 12:30pm / 2:00pm – 5:00pm
(Note: Some classes will be held during the summer vacation.)

 

Location

Sham Shui Po Main Campus
213 Nam Cheong Street, Sham Shui Po, Kowloon

Mode 2:

Students attend classes at their secondary schools, details to be negotiated by both parties.

 

 

Teaching schedule

Second year class

Download the teaching timetable (Academic year 2021-2023)

Download the teaching timetable (Academic year 2022-2024)


First year class

Download the teaching timetable (Academic year 2022-2024)

Download the teaching timetable (Academic year 2023-2025)

 

 

Learning Support

Library, computer lab, language learning center and student counseling and career support center.

 

 

 

 

 

Tuition fee:

HKD$10,700

 

 

 

 

Learning Progress Report (2020-22)

 

 

Further study

Graduates can choose to study: data science, data analysis, business administration, accounting, finance, marketing, management, computing, information system

 

Local university programs accept applications for admission to this program

updating...

 

Hong Kong Institute of Technology

 

A three-year Bachelor (accredited) degree program jointly organized by the University of West London (University of West London) and the Hong Kong Institute of Technology

 

A three-year bachelor's degree program jointly organized by Glyndŵr University and the Hong Kong Institute of Technology

 

 


Careers

Business Data Analyst, Business Support Officer (Data Analysis), Business Developer, Business Intelligence, Business Planning and Analysis and Management position (Example: Business Analysis Manager, Risk Management Manager, Business Intelligence Manager, Business Planning and Analysis Manager, project manager).

 

 

 

 

Form 4 Class
  • Fresh Form 3 students progressing to Form 4

 

Form 5 Class
  • Fresh Form 4 students progressing to Form 5

 

 

 

 

 

Application Procedure

Students can apply to the Education Bureau through their schools. For details, please contact your secondary school.

 

Admission selection

Applicants are subject to interview assessment