This is a core unit. This unit builds on students’ understanding and synthesis of the theory and practice of management and enables them to apply this understanding to complex issues faced by managers in the contemporary business environment. These issues range across economic, social, political, and technological areas. Drawing upon contemporary events from     these areas, students will analyse their wider ramifications and learn to make judgements. Guest speakers on specialist topics provide additional insights for the students. Overall, the unit develops students’ critical and holistic thinking skills and teaches students to communicate effectively.

ULO1. Critically review the key challenges facing business and management in a global context.  
ULO2. Analyze a current challenge facing a business, from analytics or IT perspective, and advocate for the current strategy and how it is achieving a sustainable organisation. 
ULO3. Investigate how data has informed and shaped management decisions in a business or IT context.   
Students work with practical examples informed by guest speakers relevant to their specific course. 

This unit introduces students to fundamental concepts and contemporary knowledge of data science and machine learning and analytics, providing a context for careers as future business managers. Bridging the gap between business information and the output produced by analytics, students will learn how businesses can leverage analytics and data science for their benefit, along with practical techniques managers can use. Also examined are programming tools used by data scientists, statisticians, and analysts. Students will also explore the ethics of data science and responsible AI innovations.
ULO1. Critically reflect on the impact of analytics in commerce, science, and academia 
ULO2. Critically review a business case study that exposes a business analytics approach 
  ULO3. Assess the impact of adopting an analytics approach in the operation of an organisation 
ULO4 Argue for a business analytics project to improve organisational performance

This is a core unit. This unit aims to develop learner understanding of managerial leadership, as opposed to social, parliamentary, and other leadership styles and contexts.Drawing upon the scholarship and research in the fields of leadership, management and organisational psychology, . this unit supports students development of higher level problem-solving skills applicable in all management environments. It focuses on people management and the role of communication. Using effective interpersonal and negotiation skills, students address solutions to different management and leadership issues in business settings.
ULO1. Elucidate your understanding of leadership and reflect on contemporary leadership theories  ULO2. Articulate the importance of leadership in high-performing organisations  
ULO3. Appraise the leadership of a selected organisation and evaluate the challenges faced in relation to sustainability and ethical practice

This unit provides students with the theoretical and practical foundations for the analysis and interpretation of quantitative data in small and large data sets using statistical methods. Areas covered in this unit encompass a range of statistical topics and techniques, including descriptive and inferential statistics, probability and likelihood theory, common distributions, and the analysis of numerical data, all of which provide a foundation for advanced statistical work. Students will learn the R programming language through participation in a series of workshops and practical labs. Understanding numbers and quantitative data is vital to any manager’s success.
ULO1. Interrogate given data sets and determine the appropriate mathematical solutions to analyse the data 
ULO2. Advocate for appropriate statistical techniques to interpret and describe data with confidence  ULO3. Perform analysis of data sets and argue relationships and dependencies between variables using statistical models
ULO4 Implement advanced statistical techniques to gain insights from large and small data sets

This is a common core unit. This unit introduces students to an agile project management framework to be applied to the management of projects within a business context. The unit covers the essentials of project management - scope, time, and cost. Students will prepare a business case for a management project. Within this context they will develop and enhance their skills in relation to project negotiations, conflict management, resource management, and leadership of a project management team. Students work with practical examples informed by guest speakers relevant to their specific course.
ULO1. Validate the adoption of agile project management in contemporary business 
ULO2. Apply an agile project management approach to the preparation of a business case 
ULO3. Critically reflect on the project leadership skills utilised in preparing the business case

In this unit students are introduced to the process of extracting patterns and insight from structured and unstructured data using machine learning and statistical methods and applications. Using statistical models and machine learning techniques such as neural networks, natural language processing and deep learning, students learn how to produce insight from data sets small and large, recognising the significance of patterns and trends in data. Regression, decision trees, neural networks and Bayesian networks all form part of the learning experience. Study in this unit involves use of open-source software in practical lab sessions. Using industry-standard knowledge, students learn to manage a data project from preprocessing to deployment.
ULO1. Advocate the importance of data analytics in driving modern business practice 
ULO2. Justify the use of data mining techniques to solve particular business problems 
ULO3. Produce effective data visualisations and technical reports that represent data mining results correctly 

This is a preparation for practice unit. This unit provides opportunities for students to participate in professional development events to prepare for their future professional practice in the workplace. These events may include participation in online seminars, internal and externally hosted lectures/talks, trade seminars, workshops, trade fairs, expos, online community forums, and online professional development activities. Participation in these events allows students to apply learning from their current studies to real-world contexts. In planning these professional development activities, students will be guided by relevant industry/professional standards. Students will work with practical examples informed by guest speakers.

ULO1. Argue a case for what constitutes professional engagement in your profession
ULO2. Assemble relevant professional engagement activities and participate in them
ULO3. Critically reflect on your experiences in undertaking professional engagement activities
ULO4. Critique the role professional bodies play in setting ethical standards for the profession 

This is a preparation for the practice unit. This unit enables students to gain real-time experience in solving problems in a business analytics /IT context. By utilizing research skills and applying the knowledge they have gained from studying in previous units in the course, students identify solutions to solve real-world business problems. Students work together in teams to gain and practice skills in collaboration, and managing relationships with others and with a client.

ULO1. Formulate a research plan to address an identified business/IT issue in an organisation
ULO2. Applying learnings from previous units in the course, design a project proposal that provides solutions to the identified business/IT issue
ULO3. Working in groups negotiate with team members, supervisor and the client to action a proposal
ULO4. Compose a report and present it to the client drawing on theory, principles and practice relevant to the project and its context