image for course 数字商务和数据分析硕士
MSc Digital Business and Data Analytics




  • 产生可利用的商业情报去创造公司或者企业的竞争优势
  • 学习战略性上指导和管理当今商业中产生的大量信息
  • 学习如何分析商业问题,探索机器学习和人工智能等主题,并获得实际的数据分析技能
  • 学习在今天数字世界中管理企业所需的技能组合





  • 必修模块 学分
  • 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
  • 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
  • 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
  • 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
  • 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




  • 商业分析师- Capgemini
  • 商业智能顾问- GlobeMed
  • 合约经理- 希斯罗机场
  • ERP项目负责人- NHS
  • IT支撑顾问-BCB Group
  • 产品运营经历-迪卡侬


Shu Hampson亨利商学院区域招生经理(中国)
电话:+44 (0)118 378 8876

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