Management (Business Analytics) - BSc (Hons)

The module aims to develop critical appreciation of the management activities and leadership skills required in dynamic organisations operating in both national and international contexts. Current theory and research on the role which appropriate leadership behaviours can play in improving managerial and organisational effectiveness is explored. In addition a core feature of the module is student engagement in a range of individual and group development activities and their subsequent self-reflection on their progress and ongoing development needs. In doing so the module aims to develop self-awareness and emotional intelligence in the practice of management, as well as promoting the importance of personal strategies relating to career management, and individual leadership behaviour.

Areas to be covered will include:

• Review of Management Activities and Roles: Planning and decision making, organising and resourcing, controlling and accountability including performance management responsibilities.
• Leadership v Management: Consideration of the differences in these roles within organisations.
• Development of Leadership Theories: From transactional to ethical, authentic and transformational leadership approaches and models of 'leaderful' practice.
• Strategic leadership: Business values, organisational culture(s) and business ethics.
• Leadership in Different Cultures: International perspectives on leadership behaviour and effectiveness; communicating across cultures.
• Managing Self: Self-concept; impression management, networking; organisational power and politics; career development strategies.
• Managing & Influencing Others: Emotional intelligence, assertiveness, ethical power and influence strategies, delegation, empowerment and trust.
• Managing & Leading Teams: Creating high performance teams; team roles; stages of group formation/team life cycle; team building.

This module facilitates the development of an entrepreneurial mind-set, and equips students with necessary cutting-edge knowledge and skills vital for generating value in a knowledge based economy. The curriculum will include the following areas of study:

• Broader application of entrepreneurship
• Co-creation as a new form of generating value in an innovation ecosystem.
• Managing innovation entrepreneurially
• Entrepreneurial opportunity
• Entrepreneurial Motivation
• Entrepreneurial Marketing
• Entrepreneurial Finance - Finance fuels entrepreneurship.

This module will extend students' knowledge and understanding of strategic management and strategic issues. It will introduce a range of contemporary issues associated with the formulation and implementation of corporate and business strategies with an emphasis on identifying and implementing strategic change within the organisation, building dynamic capabilities and developing coherent strategies. Issues might include strategies for a recession, global strategies, knowledge-based strategies, firms and industries, strategies where profit is of secondary (or no) importance. The module will also extend students' theoretical knowledge by presenting contemporary debates and issues in strategic thinking. The module will use a project in which students identify and suggest possible strategic solutions to a strategic issue in a real organisation to develop students' ability to link theory and practice in real-life situations.

The aim of this module is to provide students with (1) a systematic understanding of how information technology is driving business innovation, (2) the methods and approaches used by managers to exploit new digital opportunities, and (3) an appreciation of the knowledge and skills needed to manage the business innovation. By the end of this module, students will be equipped with the necessary knowledge and tools to deal with current business issues including digital transformation and emerging business models via technological innovations.

The module helps prepare students to acquire and develop the employability and transferable skills necessary to search and successfully apply for work experience and graduate opportunities in the commercial and public sector and postgraduate study.

The curriculum builds on knowledge and experience gained in related employability modules delivered at Stages 1 and 2, providing further guidance and more advanced practical exercises in application writing, CVs, careers advice, interview and assessment centre techniques, numeracy and competency tests, and psychometric evaluation. The aims here are to support students during their final year in applying for good graduate jobs and MSc degree programmes.

Making decisions is one of the most important things any manager or business must do. Making smart decisions, however, can be extremely difficult due the complexity and uncertainty involved. Decision Analysis (DA) provides a structured and coherent approach to decision making. It involves a wide range of quantitative and graphical methods for identifying, representing, and assessing alternatives in order to determine a best course of action. DA is regularly employed by many leading companies in the pharmaceutical, oil and gas, utilities, automotive, and financial services sectors. In this module, you learn about the basic concepts of DA and how to apply it in a variety of practical business planning situations.

This module will allow students to work on a substantive piece of research which will allow them to frame and prioritise real business problems using well known fields and frameworks within academic business and management disciplines.

• Developing important research questions in the area of business and management
• Literature search and review
• Understanding different research designs used in business and management research projects
• Collection, use and analysis of secondary and primary data
• Developing Analytical and Critical Thinking in using theory and data to frame and address business and management problems
• Preparing and structuring the Business/Consultancy Project
• Referencing, Citations and Developing writing skills
• Communication and Presentation skills.

The aim of this module is to equip students with basic knowledge of analytics tools to analyse and interpret data, forecast future trends and optimise decisions in many areas of business, including operations, marketing and finance.

The module covers two indicative themes as follows:

1. Predictive analytics. In this part of the module, students will learn approaches to extract information from existing data sets in order to determine patterns and predict future outcomes and trends. Approaches include regression analysis, forecasting techniques, simulation and data mining.
2. Prescriptive analytics. In this part of the module, students will learn how to develop optimisation models to support business decision making. Students will be guided through demonstrations involving a variety of business problems, including transportation, assignment, product mix and scheduling problems.

The aim of this hands-on and highly practical module is to introduce students to the power of data intelligence in transforming the way businesses operate. Students will learn how to develop a successful big data strategy and deliver organisational performance improvements through the use of data analytics.

Indicative topics covered in the module include: business intelligence principles, data visualisation and dashboards, data warehouse and integration, artificial intelligence in business applications, big data, social network analysis, text mining, and participatory approaches for problem structuring.

Students will be exposed to a variety of case studies which demonstrate how pervasive data intelligence and analytics have become in every industry and sector, including examples from supply chain management, transport, marketing, finance, healthcare, and human resources. By the end of the module, students will have an understanding of how specific companies use big data and a grasp of the actionable steps and resources required to utilise data effectively.