image for course 信息管理和数字商务硕士 – 数字健康和数据分析
MSc Information Management & Digital Business - Digital Health and Data Analytics

信息管理和数字商务硕士 – 数字健康和数据分析

课程速览

  • 旨在为你提供知识和技能,解决数字健康和高级数据分析方面的实际问题
  • 先进的分析学和人工智能知识
  • 我们已建立的网络,提供实习机会、实践项目和工作经验
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

这个硕士课程将为你解决数字健康和高级数据分析方面的实际问题做好准备。你将受益于我们建立的网络,因为我们与国家卫生系统、地方政府和综合护理系统(ICS)密切合作。此外,你将有机会获得在英国和国际上的商业组织进行实习的机会、或者参加一些实践项目和获得工作经验。 

信息管理与数字商务硕士课程的这一方向,将提供高级分析和人工智能知识。它将使你了解数据和分析在决策、组织管理和政策制定中的作用。你将为成为技术专家和分析员做好准备。此外,你还有机会在英国和全球的医疗保健组织和企业中担任高级职务。 

数字健康和数据分析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 

商务中的大数据 

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方向。 

专业课程范例如下:

  • 课程范例 学分
  • This module focuses on knowledge and hands on skills to leverage information technology, data analytics and machine learning skills in healthcare service delivery, clinical research, hospital operational management and public health. The students will have blended learning experience including in-class lectures, machine learning and data analytics exercise as well as case studies from NHS hospitals, community and social care organisations, local authority and companies who provide digital health and data analytics solutions, in UK and internationally.

    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 introduces key concepts, techniques, and tools for business data analytics. Data analytics is a fundamental tool for any organisations to make strategic use of their data assets and enable data-driven decision making. The module will cover concepts in data management, basic statistics and analytics, as well as tools used in business data analytics.

    Outline Content:

    • Data analytics and data-driven decision making
    • Descriptive analytics
    • Data visualisation principles
    • Tools for data visualisation
    • Predictive analytics
    • Advanced tools for data analytics
    • Principles of databases
    • Data management
    • Programming for data analytics
    • Data analytics solutions development
    20
  • Aims:

    The aim of the module is to enable the student to conduct research and apply the knowledge into practice through an independent project. The student should show a detailed understanding of health system, digital technology and modern data analytics to solve real-world problem. This will involve a joint project design and problem identification with NHS and health related public/private organisations, a survey of recent developments in the field, a critical analysis of these developments and a prognosis of future developments.

    Outline Content:

    • The dissertation normally commences with sessions during the Spring Term covering research methods, based on which a research proposal is developed. The sessions will include topic selection, literature review, research methods, evaluation approach, and writing a research proposal. The topic is normally proposed by the student and developed in consultation with the appointed supervisor and the collaborating NHS and related public/private organisation.
    • The research work must be conducted in an ethical and professional manner. The text of the dissertation would not normally exceed 12,000 words but it may be supported by ancillary material.
    40

信息管理和数字商务硕士课程将使你对现实生活和当代商业问题有一个严格的学术理解。通过这个方向,你将掌握关于数字健康和数据分析的当前知识。你将获得与设在英国和国际的组织合作的实践机会,这些组织热衷于支持硕士项目。这包括一个由国家卫生系统、地方政府、政策制定者和商业组织(如健康数字解决方案供应商)组成的既定网络。这些经验将使你有能力在这些处理医疗数据的组织中担任各种角色。 

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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