MSc Information Management and Digital Business – Digital Innovation

Title:

Business Domain and Requirements Analysis

Code:

INMR66

Convenor:

DR Yin Leng Tan

Summary:

INMR66 is concerned with the fundamental aspects of business domain and requirements analysis. Its focus is on using a holistic approach which covers the people, processes, technology, and organisation aspects to the investigation and improvement of business situation with a view to develop effective and feasible business solutions to a problem domain.? 

Assessment Method:

Report 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

Business Intelligence and Data Mining

Code:

INMR77

Convenor:

DR Yin Leng Tan

Summary:

INMR77 is concerned with using business intelligence and data mining techniques for managerial decision making. Data mining is the process of selection, exploration and analysis of large quantities of data, in order to discover meaningful patterns and rules which in turn, structure business intelligence in context. In another words, data mining converts the raw data into useful knowledge required to support decision-making. 

Assessment Method:

Report 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

Business Informatics

Code:

INMR91

Convenor:

PROF Kecheng Liu

Summary:

This module helps the student understand the underpinning theory and methodology of business informatics for information systems and information management; appreciate business principles, organisation, processes and models; identify the user requirements and suitable IT systems solutions; and perform analysis and design of a systems solution using appropriate technologies.

Assessment Method:

Assignment 30%, Class test 70%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

Business Data Analytics

Code:

INMR95

Convenor:

DR Markos Kyritsis

Summary:

This module introduces key concepts, methods, and tools for business data analytics. Data analytics are a fundamental tool for any organisation that plans to make strategic use of their data assets, and enables data-driven decision making. Core concepts that lend themselves to the three stages of data analytics (i.e., descriptive, predictive, and prescriptive) will be covered, including: data management; descriptive statistics; inferential statistics; exploratory data analysis; regression modelling; machine learning; programming data-driven solutions; and developing data-driven recommendations. The workshops will give students experience in using an industry standard programming language, as well as GUI-based tools, thus providing them with the opportunity to choose the most appropriate method for their own future employability needs.

Assessment Method:

Report 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

Digital Health and Data Analytics

Code:

INMR96

Convenor:

DR Vicky Weizi Li

Summary:

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. 

Assessment Method:

Assignment 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

MSc Dissertation (Digital Health and Data Analytics)

Code:

INMR97

Convenor:

DR Vicky Weizi Li

Summary:

A dissertation project is an independent piece of research work in MSc programme pathway in Information Management and Digital Business (Digital Health and Data Analytics). It is closely linked with practical health related organisations for students to understand real health and data analytics scenarios in practice in collaboration with NHS hospitals and organisations in integrated care system (primary and social care, clinical commission group, local government) and related commercial companies. It is considered to be the most important element in this programme pathway as it demonstrates the knowledge and skills acquired both in terms of the subject area and academic research. It is normally conducted by an individual student guided by an academic supervisor in the chosen specialised domain. It gives students the opportunity to undertake a substantial applied research project which draws the prior knowledge and many skills acquired from the past experience and during the taught part of the MSc programme, enables students to practise writing a scientific report, allows students to develop problem-solving skills, and enables students to manage research activities and critically assess the outcomes from the project. 

Assessment Method:

Oral 10%, Dissertation 90%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

Career and Professional Development

Code:

MMM132

Convenor:

MRS Neelam Kaul

Summary:

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.

Assessment Method:

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

IT Project Management

Code:

INMR65

Convenor:

PROF Yinshan Tang

Summary:

Detailed descriptions of the delivery methods coupled with the assessment details have been included in this module description. The module consists of theoretical foundation with practical focus for the topic of IT project management. The assessment uses a real-life case scenario asking the students to apply theories and techniques learned from this module. 

Assessment Method:

Assignment 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

Business Technology Consulting

Code:

INMR86

Convenor:

DR Vaughan Michell

Summary:

This module provides the key principles of consulting applied to digital business technology. It covers the three levels of client engagement methodology. It also introduces a variety of problem solving tools and techniques suitable for analysis and solution development for digital business technology problems and consulting in related businesses aiming to use or are using digital technology. Finally, it develops practical skills in proposing and analysing digital business technology consulting problems via presentations and case studies in the area. 

Assessment Method:

Assignment 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

Big Data in Business

Code:

INMR89

Convenor:

PROF Keiichi Nakata

Summary:

This module focusses on the methods and techniques of using Big Data in business. Given the availability of large amounts of data in business and organisation, there is an increasing need for organisations to assess how effectively Big Data can be utilised for business. In this module, students consider how organisations can benefit from Big Data, and analyse business and technological requirements to create value though Big Data and business analytics. Students will also explore recent developments in technologies surrounding Big Data such as text analytics, cognitive analytics and visualisation, and assess types of tools that can be utilised, including the use of state-of-the-art analytics tools. 

Assessment Method:

Report 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

Digital Innovation

Code:

INMR93

Convenor:

DR Yin Leng Tan

Summary:

This module  explores how existing and cutting-edge technologies  can provide innovative digital business solutions. It involves the understanding of digital technology principles,  values-based innovation, digital business and platform ecosystems, and employs the emerging service science and ecosystem  approaches to the development of 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.

Assessment Method:

Report 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

Digital Leadership

Code:

INMR94

Convenor:

DR Vaughan Michell

Summary:

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.

Assessment Method:

Assignment 100%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.

Title:

Organisational Dynamics: Systems Thinking in the Digital Age

Code:

INMR98

Convenor:

PROF David Lane

Summary:

Information is everywhere – but how should we use it? This module is about using information to make decisions which steer an organisation effectively. The module is relevant to all students interested in policy analysis.

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.

Assessment Method:

Assignment 70%, Oral 30%

Disclaimer:

The modules described on this page are what we currently offer. Modules may change for your year of study as we regularly review our offerings to ensure they’re informed by the latest research and teaching methods.