- 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
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.
- 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
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.
- 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
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.
- 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
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.
- 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.