image for course 信息管理和数字商务硕士 – 商务中的大数据
MSc Information Management & Digital Business - Big Data in Business

信息管理和数字商务硕士 – 商务中的大数据

课程速览

  • 旨在为你提供知识和技能,以了解和指导对当今商务中产生的大量信息的战略使用
  • 研究如何分析商业问题,并制定一个战略方法来管理商务中的大数据
  • 发展产生可用的商业情报的能力,以创造组织的竞争优势
学历等级
硕士
学科领域
信息管理
授予学位
理学硕士
学习时长
12个月
上课时间
全日制

概况

通过该课程,你将掌握分析和管理大数据所需的知识和技能,使各行业的业务受益。商务大数据方向将使你能够理解并从战略上指导企业所产生的信息。 

你将学习开发一种战略方法来管理企业中的大数据。这将通过对商业问题的分析以及了解商业智能的不同方法进行教学。通过这些,你将能够创建可用的商业智能,为组织创造竞争优势。 

商务大数据是信息管理和数字商业硕士课程中的三个方向之一。其他的方向是 

数字创新 

数字健康和数据分析 

如果你不确定选择哪个方向,请申请你认为更适合你的那一个。你可以在到校后的前几周内改变课程方向。 

专业课程范例如下:

  • 课程范例 学分
  • Aims:

    Given the availability of large amount of both structured and unstructured data in business, there is a need for organisations to assess how effectively Big Data can be utilised for business. The aim of this module is to evaluate the business value in utilising Big Data and develop information management solutions with an appreciation of business analytics methods and technologies.

    Outline content:

    • Business opportunity in the era of Big Data – case studies
    • Business analysis for big data and business intelligence
    • Methods, techniques and tools for Big Data
    • Data and information management for Big Data
    • Big Data visualisation
    • Developing a Big Data strategy
    • Professional, leadership and ethical issues in Big Data solutions
    20
  • Aims:
    This module is concerned with how business intelligence and data mining techniques can be used for managerial decision-making. It aims to provide students with the essential data mining and knowledge representation techniques used to transform data into business intelligence. Application areas covered in this module include marketing, customer relationship management, risk management, personalisation, etc.

    Outline content:

    • Concepts of business intelligence and data mining
    • Overview of various data mining techniques
    • Types of data, data cleaning, data integration and transformation, data reduction
    • Classification and predictive modelling
    • Cluster analysis for generating patterns of data and structuring business intelligence
    • Association rule mining and market-basket analysis
    • Business intelligence implementation, integration and emerging trends
    20
  • Aims:
    This module aims to enable students to develop an in-depth understanding of the nature, structure and function of information in the business domain. Students will gain knowledge of information requirements and presentation, working alongside users and subject specialists, to support their business functions. Through the course students will acquire the ability to plan, implement and evaluate IT-based solutions.

    Outline content:

      • Understand the signs and types of signs (indices, icons and symbols) used in human communication and computer information systems, from semiotic and other relevant perspectives
      • Investigate the characteristics of organisational needs in the era of e-enterprise and the potential IT capabilities required to support business objectives and functions
      • Study the methods and techniques for aligning business and IT strategies, business and IT planning, requirements analysis and determination
      • Select appropriate theories, methods and techniques for application in the design and development of IT solutions
    20
  • Aims:
    This module is concerned with using a holistic approach to investigate and improve business situations, with a view to developing feasible business solutions to the problem domain. It aims to provide students with the theory and practice of capturing and analysing business needs in relation to organisational contexts, business strategies, stakeholders, and business processes. Methods and techniques for articulation and evaluation of business needs will be introduced.

    Outline content:

    • Rationale for business analysis and requirements
    • Organisational, social and cultural impacts on business domain analysis
    • Strategy and stakeholder analysis
    • Business systems analysis/modelling
    • Business process analysis/modelling
    • Managing change
    • Making a business case
    20
  • Aims:
    This module aims to provide students with the opportunity to undertake a substantial research project, drawing on the knowledge and skills acquired from past experience and from the taught part of the MSc programme. It enables students to learn how to conduct a research project, develop problem-solving and critical-analytical skills, and manage research activities. There are opportunities to carry out the project with external organisations.

    Outline content:

    • Progression from the Research Methods module (research proposal, literature review, and project planning)
    • Regular meetings with supervisors
    • Interim report
    • Dissertation report
    • Oral presentation
    40

信息管理和数字商务硕士课程将使你对现实生活和当前的商业问题有一个严格的学术理解。 

作为商业大数据方向的毕业生,你将有能力制定管理大数据的策略。这些技能在各个领域都有很大的需求。 

我们每年都有一些学生继续攻读我们的博士课程。 

联系我们

Shu Hampson亨利商学院区域招生经理(中国)
邮箱:s.hampson@henley.ac.uk
电话:+44 (0)118 378 8876
微信:ShuHenley

Josh Jedrzejczyk亨利商学院高级招生官(中国)
邮箱:j.jedrzejczyk@henley.ac.uk
电话:+44 (0)118 378 5815
微信:JoshHenley

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