MSc Business with Operations Management

Technology has led to a proliferation of social media channels. These channels enable peer-to-peer communication as well as providing brands with many more ways to reach their customers, have relevant conversations with them, and listen to what matters to them. This module develops an understanding of how brand managers can access and use social media channels as part of their marketing strategy in order to build brand presence and maintain relevance in the life of their customers.

Through this module you will develop a greater understanding of the fast growing, changing world of social media channels and their relevance to customers, brands and the firm. The module aims to develop an appreciation of how the firm’s integrated marketing communications, brand management, and content management strategies are impacted by social media channels, and to examine the strategic opportunities and challenges these present.

Specific objectives of the module include:

• Understanding the role of social media in achieving the objectives of the firm's integrated marketing communications strategy.
• Understanding the significance of a content management strategy, including selecting and combining appropriate social media tools for stages of the customer journey.
• Linking social media into the marketing mix, including understanding their relevance in developing product, place, and service decisions.
• Understanding how to use social media as a tool for insight into changing customer needs
• Recognising the advantages and pitfalls of earned media including brand communities, viral marketing, and PR crises.

Businesses today have unprecedented access to information about their customers. However, many businesses fail to use this information to generate meaningful insights about the behaviour of their customers. The consequence is that these businesses fail to exploit opportunities for value creation, and improving their financial performance.

This module is inspired by the idea that 'It's not the size of the data, it's how you use it'. Hence, the principal aim of this module is to challenge students' thinking about the appropriate and inappropriate use of customer data for strategic decision-making. Using real-world cases as context for data analyses, we will discuss good and bad practices for how to derive meaningful insights from data. Examples include comparing data for different groups of customers, finding clusters of customers, and how to analyse relationships between different types of customer data.

Students will not only improve their theoretical understanding of empirical methods, but will also learn how to apply these methods in the widely-used software R. Once these insights have been generated, it is also important to know how to use graphical representations of these insights for story-telling in business presentations. Accordingly, this module will also place great emphasis on good practices in the context of presentations with data.

If you select the dissertation route, Research Methodology becomes a compulsory module for you and it gives you the academic skills to confidently approach your dissertation topic. The focus is on epistemological foundations, the design of a research project, the preparation for and execution of valid and reliable business research (whether qualitative or quantitative), and on the writing up and presentation of research results.

You will:

• receive training on analytical approaches and research techniques widely used in Finance and Accounting
• be taught basic programming skills in Matlab and STATA                                    
• receive training on how to use the various datasets available                               
• receive formal guidelines on how to structure research projects (writing a literature review, conceptualization and construction of hypotheses and research questions).    

Through this module you’ll be introduced to a range of debates that are central to the human resource management and employment relations field, including the 'high commitment' models of human resource management. It will also provide you with an in-depth insight into a number of the specific HR practice areas, including: recruitment and selection; training and development; job design and teamworking, pay and rewards; unions and HRM, and equal opportunities and diversity management.

During this module you will:

• Demonstrate an understanding of the development of human resource management as a field of study
• Critically appreciate the contribution made by each of the core disciplines (e.g. sociology, psychology, law, economics)
• Analyse specific human resource management problems in their wider social context
• Understand, evaluate, and marshal critical social science research on human resource management
• Extrapolate from existing research and scholarship to identify new or revised approaches to human resource practice
• Demonstrate advanced study skills including written communication, location and retrieval of relevant reading from library stock and electronic resources, using information technology, and employing appropriate quantitative methods.

Understand the wider institutional location of business activity within the polity and the society. The module puts particular emphasis on corporations’ responsibilities in global society and discusses key governance issues related to this agenda. Firms will be seen as both 'takers' and 'givers' of governance and regulation in a variety of formal and informal ways. The module is not a traditional course in business ethics but explores the influence of the non-market environment on businesses’ strategies and operational practices and will confront some 'critical issues' topics.

This module introduces you to the theory and practice of conducting business analytics projects. It adopts a business analytics methodology which enables you to (a) analyse a complex business situation, (b) identify high value opportunities for business analytics and (c) deliver an effective business analytics project. The module adopts an experiential learning philosophy by giving you a guided and mentored experience of conducting a realistic consulting project.

The module aims to provide training on methods that aid decision making when managers face an uncertain future. The module covers methods for short-term and long-term forecasting of product demand and macroeconomic variables. The module discusses how forecasting aids decision-making.

This module will cover a wide range of cutting edge research in Big Data Analytics, with a particular focus on the extensive value of data from the Internet, much of which is freely available if you have the skills to mine it.

This module involves learning to program in R, but no prior programming knowledge is required.

Module aims will include:

• Linking stock market movements to online data
• Measuring sentiment with online data
• Predicting consumer behaviour with online data
• Getting quicker measurements of key economic indicators with online data
• Measuring where people are and where they are going with mobile phone data and online data
• Predicting crime and epidemics
• Understanding social networks.

The module will also teach you the practical skills needed to work with online data.

You will learn:

• How to mine data on Google searches
• How to mine data on Wikipedia page views
• How to mine data on photographs uploaded to Flickr
• How to make data visualisations
• How to design and execute a small data science project of your own.

This module focuses on how digital technologies enable organisations to offer digital services that aim at improving customer experience as well as firm performance. The module assumes no prior knowledge of technology and prepares students to engage with technology-related conversations (e.g., designing a new digital service) at the modern workplace. 

The module has three themes. The first theme is gaining competitive advantage using a digital business strategy and covers concepts such as motivations for digital transformation. The second theme provides an overview of what today’s managers need to know about the advantages and disadvantages of cutting-edge technologies including artificial intelligence (AI), virtual reality, internet of things (IoT), cloud computing, social media, and data analytics. The last theme focuses on the lifecycle of digital service provision, covering key concepts such as technology selection and sourcing, agile implementation, and risk management

The main module aim is to build on your knowledge of the global economic and business environment and link this to strategies for managing in changing global contexts.  Key questions are:  How do changes in this environment affect the ways in which companies do business and managers manage across borders:  How should firms and individual managers respond (in theory)?  How can they respond (in practice)?

Topics will include: the drivers and processes of internationalisation, cross-cultural management challenges, the assessment of overseas investment opportunities and the specific challenges of emerging markets.

Get an introduction to the principles of Corporate Finance and learn how the basic tools and techniques of modern finance theory can be applied to analyse and improve the investment and financing decisions of the firm.

Indicative themes include:

• Financial calculus
• Financial markets
• Valuing bonds
• Valuing stocks
• Portfolio choice and diversification
• The capital asset pricing model
• Capital budgeting
• NPV in action
• Market efficiency
• Financing and capital structure
• Payout policy
• Corporate risk management

If you would like to develop further applied skills and specialist knowledge to suit your career aspirations, you can complete your studies with our applied Business in Practice module. You will develop deep functional and industry expertise with practical insights from our faculty and industry experts.

In total you will study eight core modules, two optional modules and also complete the compulsory Business in Practice capstone module.

If you are considering further academic study (PhD) and you would like the opportunity to research a topic relating to operations management, the 6,000 word dissertation will enable you to test and apply the techniques and theories you have gained. You will be supervised and supported throughout and will usually submit your dissertation in early September. 

In total you will study eight core modules and one optional module, and complete a dissertation and a Research Methodology module. 

If you select the dissertation route, Research Methodology becomes a compulsory module for you and it gives you the academic skills to confidently approach your dissertation topic. The focus is on epistemological foundations, the design of a research project, the preparation for and execution of valid and reliable business research (whether qualitative or quantitative), and on the writing up and presentation of research results.