BSc (Hons) Business Management and Analytics

This module introduces students to how organisations produce goods and/or services. It is a broad subject that encompasses process and technology management and design, product design, production planning and control, quality management, supply chain management and inventory management.

This module creates the underpinning academic skills and knowledge for the degree programme. Designed to enable students to engage with module content and learning activities throughout the rest of the programme, in terms of content and assessments.

A comprehensive introduction to the fundamental principles of marketing. This module discusses the factors and trends in the marketing environment and how they affect marketing, and explains the role of marketing to the organisation.

Introducing economic ideas students and demonstrating the importance of economics for business, this module describes how markets work and the conditions that lead to market failure. Students will learn about how competition between firms affects business behaviour.

This module is designed to provide students with an understanding of essential finance and accounting terminology and methods to enable them to perform effectively and efficiently within their future workplace. Using practical examples, students will gain confidence to be able to use financial modelling skills using Excel; preparing financial statements that include profit, cashflow and forecast budgets.

This module provides the essential frameworks to understand current issues in global business and management and their impact on companies and society. Students will be taught how to develop the cross-cultural expertise essential to succeed in a world of rapid and profound economic, political and cultural changes.

Students will explore, from the perspective of the non-IT manager, how organisations make use of digital technologies to improve business performance, business operations, products and services. They will analyse the role of digital information technologies to gain competitive advantage making business operations more effective, responsive, resilient and efficient.

Introduces students to lean methodology and enable them apply lean methodology in a Business Management context. By applying the tools and techniques learned, students will be able to confidently identify process improvements and will have an accredited qualification come the end of the module. Students will be introduced to the concepts of Lean Six Sigma and be able to demonstrate the principles and tools at Yellow Belt level. 

Students will explore, from the perspective of the non-analyst, how organisations make use of statistical data and information in order to inform decision-making. They will be introduced to basic concepts of contemporary data analysis using appropriate data visualisation techniques, to illustrate and articulate how modern companies are using business intelligence to solve old problems in new ways. It will introduce students to the novel approaches that are revolutionising the way business management is done (Big Data, Machine Learning, Artificial Intelligence).

This module introduces students to programming for business analytics using Python. It is designed for students from a business background with no prior coding experience. The focus is on applying simple coding techniques to explore, clean, and visualise data, helping students to generate insights and communicate findings in a business context.

This module introduces students to the design and practice of analytics through a blend of problem-structuring methods, human-centric design, and data storytelling. Students will learn how to scope client needs, create user stories, and design for interaction as a core part of the analytics process.

Emphasis is placed on good data practice: matching data to client needs, selecting appropriate visualisation types, and applying techniques in data engineering. The module explores how to choose the right visual and analytical methods, including AI-enabled approaches, and how to communicate insights through compelling data stories, supported by numerous examples.

The module is enriched with guest lectures and industry case studies, bringing theory to life and encouraging realistic practice. Students will gain experience with multiple methodologies, AI tools, and software platforms, building both flexibility and strong employability skills.

This module provides the skills and knowledge to succeed in the graduate employment market. Students will learn how to produce the necessary documentation, such as CVs, covering letters psychometric tests, application forms and interview and presentation skills, to secure interviews with prospective employers.

This is a semester of full-time study at an approved higher education institution which will replace one semester of level 5 study at LJMU. The modules to be studied must be agreed in advance by the student, programme leader and overseas provider, and must be an appropriate substitute for the modules being replaced.

The aim is to provide students with an additional year of study at an approved overseas higher education institution partner that will complement their programme at LJMU. This is an additional year of full-time study, the modules to be studied must be agreed in advance.

A sandwich year aims to provide students with an extended period of work experience at an approved partner that will complement their programme of study at LJMU. This will give students the opportunity to develop professional skills relevant to their programme of study as well as the attitude and behaviours necessary for employment in a diverse and changing environment.

To recognise and evaluate strategic decision-making and how it affects the competitive advantage of business. Students will critically analyse the strategic position of business, assess the strategic choices of businesses to pursue a competitive advantage, and evaluate strategy in action, including how leaders implement strategies in changing environments.

Students will explore how businesses use data to inform decisions, with a focus on experimentation and causal analysis. The module introduces statistical reasoning and analytical workflows using R, enabling students to design and evaluate interventions in commercial settings. Emphasis is placed on interpreting results and communicating insights to stakeholders.

The lectures cover the theory behind predictive analytics (types, concepts, examples, development processes, etc.) necessary for understanding its potential for and applying it to solving business-related problems. Workshops apply this knowledge by exposing students to practicalities of developing predictive analytical solutions to real-world business problems. Although the module will employ some case studies and group discussions, the focus will be on hands-on skills and knowledge necessary for developing various predictive analytics business solutions.

This module introduces students to the emerging field of behavioural analytics, which integrates behavioural science theories with business analytics to better understand and influence decision-making in consumer and organisational contexts. Students will explore the psychological and cognitive factors that shape human behaviour—such as biases, heuristics, and social influences—and examine how these can be analysed, interpreted, and applied within business environments.

Students will develop and justify a relevant, original and feasible research topic. They will rigorously investigate an issue from the business management discipline, conducting independent primary research and demonstrate the ability to manipulate and present data in a suitable format.

This module allows students to work on a real-world client brief, to develop an understanding of business problems and issues and applying key academic theories and models in the development of a solution that meets the clients needs. In addition students will reflect on their personal development and consider next steps post-graduation.