Masters in Digital Business and Data Analytics

This course will provide building blocks of knowledge to help you prepare for your learning journey in the area of your choice as well as equip you with key employability and study skills for successfully navigating your studies and professional career.

A course delivered online by Henley faculty and you will receive online support from one of our teaching staff members and be able to interact with other prospective students in your course.

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

Academic authors

Dr Markos Kyritsis

What am I going to do when my course ends, and how am I going to achieve it? This module has been designed to help Accounting, Informatics and Business Management students answer those two questions, and empower them to take the actions required. It’s a suite of sessions that pays close attention to the general pathways Business Management, Accounting and Informatics students tend to take, and their aspirations as expressed during pre-sessional career activities & induction surveys. Students will choose this the mix of custom-made sessions that best suit their stage in life and supplement them with the open careers programmes offered at the University, the online content on the Henley Careers Blackboard site and 1-2-1 careers consultations.

This module develops critical digital knowledge and skills in digital concepts, leadership, teambuilding, capability and change planning and control to support the development of a digital technology solutions in businesses. It integrates leadership and e-leadership principles with a knowledge of digital technology and the practice of leading digital solution approaches and teams in a variety of leadership types at strategic level required by a business or consulting client. It provides appropriate capability and analysis tools and techniques to enable students to identify, manage and resolve digital leadership and supporting digital technology issues and enables the development of appropriate digital leadership approaches necessary to support digital business technology and related consulting situations.

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 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

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.

Aims:
This module aims to enable students to understand management theories and project management practices such as Agile and PRINCE2. Students will be able to carry out project planning with different methods, and incorporate risk management and quality control techniques. Students will also be able to understand the characteristics of IT projects and improve the success rate of project management.

Outline content:

• • Theories and principles of project management
  • Project management in organisations
  • Methodologies (e.g. Agile and PRINCE2) for project management
  • Project planning and delivery (e.g., estimating, scheduling, resourcing, and monitoring)
  • Risk management
  • Quality control mechanisms

Information is everywhere – but how should we use it? This module is about using information to make decisions which steer an organisation effectively.

Digitalisation and globalisation have created tidal waves of data and globe-spanning organisations. The result is that it is hard to know what information to use to make decisions and hard to know what the consequences of our decisions are. Organisational dynamics – what could happen as time rolls forward - are hard to understand, hard to anticipate. Whilst all managers know that their organisations are complex, inter-connected things, they lack the cognitive ability to activate this knowledge when making hard choices.

This module provides a set of systems tools for individuals and management teams to use which help improve thinking about organisational change and policy interventions, and so create and steer organisations of all types.

The examples studied range across countries and sectors and the module draws significantly on the research and practical experience of the Convenor.

This module aims to introduce students to digital marketing and the increasingly important role of technology in both marketing practice and society. By the end of the module students should be able to apply a range of skills to implement digital marketing approaches and understand the key strategic drivers behind the growth of the digital economy.

This module is concerned with the use of existing and cutting-edge technologies and innovations to provide digital business solutions for businesses. It focuses on values-based innovation, digital business ecosystems and platform ecosystems, and employs the emerging service science and service logic/thinking approaches to the development of the digital business solutions. It covers innovations in processes, products, technology, services, and business models, as well as methods and models to create new business value in highly competitive and technology-rich environments.

This module develops critical digital knowledge and skills in digital concepts, leadership, teambuilding, capability and change planning and control to support the development of a digital technology solutions in businesses. It integrates leadership and e-leadership principles with a knowledge of digital technology and the practice of leading digital solution approaches and teams in a variety of leadership types at strategic level required by a business or consulting client. It provides appropriate capability and analysis tools and techniques to enable students to identify, manage and resolve digital leadership and supporting digital technology issues and enables the development of appropriate digital leadership approaches necessary to support digital business technology and related consulting situations.

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.