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香港浸會大學-商業(yè)計算和數(shù)據(jù)分析(榮譽)理學士學位(JS2910)BSc (Hons) in Business Computing and Data Analytics (JS2910)(本科)

香港浸會大學-商業(yè)計算和數(shù)據(jù)分析(榮譽)理學士學位(JS2910)BSc (Hons) in Business Computing and Data Analytics (JS2910)(本科)

上課方式:直播,面授
班級類型:小班
上課時段:白天班,晚班
價       格:¥詢價

香港浸會大學-商業(yè)計算和數(shù)據(jù)分析(榮譽)理學士學位(JS2910)BSc (Hons) in Business Computing and Data Analytics (JS2910)(本科)課程詳情

  • 專業(yè)概況
  • 所屬院系
  • 中國學生入學要求
  • 課程信息

專業(yè)概況

在這里學什么?

An Interdisciplinary programme jointly offered by Department of Computer Science and School of Business of Hong Kong Baptist University.

The programme is an interdisciplinary programme jointly offered by the Department of Computer Science, Faculty of Science, and Department of Economics and Department of Finance and Decision Sciences, School of Business.

The programme aims to equip the next-generation of business leaders with the latest technical knowledge of fast-changing business technologies that they will need to succeed. Innovation and technology (I&T) development has been among the top priorities of the HKSAR Government. Manpower requirements in the sector are expected to increase by more than the average manpower requirements of the overall Hong Kong economy. In particular, future development of Hong Kong in the direction of a "smart economy" is expected to create related job demand and business opportunities.

Graduates from traditional computer science programmes need solid training in Business to cope with the fast-changing landscape of business and information technologies, whereas graduates from traditional business school programmes need better skills in the use of big data and real-time analytics to support business decisions. The new programme aims to bridge these gaps by integrating Computer Science skills and knowledge of business applications. It provides students with the training in advanced programming and data-analytics skills, as well as broadens their awareness in business applications of these skills.

More specifically, the curriculum integrates four bodies of knowledge:

  • IT Infrastructure;
  • Data Analysis;
  • Business Knowledge and Data-Driven Problem Solving;
  • Data Analytics Solution Design.

Programme Objectives

  • To provide students with a solid knowledge base and skills in data analytics and its creative application in business organizations, particularly in finance, economics, and consumer/marketing business.
  • To provide students with both good data-driven problem-solving skills and an analytical and creative mind for data analytics solution design, management and planning in business organizations.
  • To equip students with good inter-personal and communication skills for effective collaboration between IT and business units.
  • To equip students with a solid knowledge and experience in data analytics projects to support their career developments and further studies in this and related fields.

Career Prospects

We expect our graduates' skills to be attractive to many employers. They can start their careers as business communicators, data scientists, data developers, data engineers, database administrators, financial analysts, market researchers, and other IT-related professionals or enter financial services jobs. The training in this programme would also facilitate their ventures into launching their own businesses.

所屬院系

進入哪個院系學習? School of Business

中國學生入學要求

為來自中國的學生設(shè)計 English Language Requirements : TOEFL- Internet-based test (iBT) - Score: 79; or Paper-based test (PBT) - Score: 550; IELTS Academic: Overall Band: 6.0. Grade C or above in GCE O-Level/ GCSE/ IGCSE English; or Grade E or above in GCE AS Level or AL Level English; Grade E or above in HKALE Use of English (AS Use of English); IB - Grade 4 in: IB English A (Higher or Standard Level); or IB English B (Higher Level); or IB English Literature and Performance (Standard Level) or Grade 5 in: IB English B (Standard Level).

課程信息

學制:全日制(4 年)

學費:HK$140,000.00 (¥ 116,690) /年

開學時間:預(yù)計在九月 2022

申請截止日期:

留學地點:Hong Kong Baptist UniversityKowloon Tong,Kowloon City, Hong Kong, Kowloon

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