Leadership and Innovation
Study Pathway: Master of Business Administration (Leadership and Innovation)
This course explores the crucial link between leadership, creativity, and innovation in organizations. Students will delve into the psychology of creativity and gain valuable insights into effective leadership practices that foster innovation and empower teams. Through self-reflection and peer coaching, students will develop their leadership skills, understanding how personality traits influence leadership styles and learning to create a culture of trust, psychological safety, and continuous learning within teams and organizations.
Leading Contemporary Organisations
Study Pathway: Master of Business Administration (Leadership and Innovation)
This course delves into the critical role of organizational structure in facilitating efficient work completion within teams. Students will gain insight into various contemporary structures such as communities of practice and their impact on business strategy, vision, and leadership dynamics. The course also explores how leadership is shaped by and shapes factors like organizational culture, industry trends, global contexts, and current events such as the COVID pandemic. By studying historical and modern organizational structures, students will learn how these frameworks optimize organizational performance and achieve strategic objectives.
Leading Diversity and Inclusion
Study Pathway: Master of Business Administration (Leadership and Innovation)
This subject is designed to prepare professionals for the demands of a globalized business environment by focusing on creating and sustaining inclusive workplace cultures. Through self-awareness exercises, leadership training, and discussions on diversity, students will develop the skills needed to lead diverse teams effectively. The curriculum covers topics such as understanding personal biases and cultural influences, navigating cross-cultural communication challenges, and addressing issues related to discrimination and harassment. Additionally, students will learn about legal and human resources principles concerning diversity, gain proficiency in giving and receiving feedback, and enhance their ability to contribute to inclusive organizational cultures. This comprehensive approach equips students with the tools and mindset necessary to drive positive change and foster inclusivity within teams and organizations.
Data Analytics, Artificial Intelligence and Decision Making
Study Pathway: Master of Business Administration (Leadership and Innovation)
This subject is a comprehensive introduction to data analytics techniques and activities, focusing on their relevance in modern decision-making processes. Students will explore concepts such as data analytics, machine learning, and artificial intelligence, which play crucial roles in enhancing decision support for leaders. The curriculum provides a strategic understanding of key elements in data science, empowering students to manage data projects from both managerial and technical standpoints. Through activities like coordinating data delivery, analyzing trends, forecasting, ensuring data consistency, quantifying uncertainty, and recommending actions, students will develop the skills needed to successfully navigate the data analytics landscape and drive informed decision-making within organizations.
Leading for Sustainability
Study Pathway: Master of Business Administration (Leadership and Innovation)
This subject cultivates a forward-thinking mindset in students, preparing them to lead with a holistic understanding of social, environmental, and economic challenges that shape our world. Through a focus on sustainability, students learn to envision and enact positive change, aligning organizational goals with broader societal and environmental objectives. Drawing on evidence-based approaches, students develop the ability to devise and execute strategies that prioritize Profit, People, and the Planet. This approach not only fosters innovation, continuous improvement, and competitive advantage but also ensures long-term success and positive impact. Students delve into the mindsets, skill sets, and toolsets necessary to lead effectively in sustainability, equipping them to be stewards for their organizations, communities, and future generations.
Law and Ethics
Study Pathway: Master of Business Administration (Leadership and Innovation)
This subject provides students with a comprehensive overview of Australian business law, focusing on fundamental concepts and principles essential for effective decision-making in a commercial context. Through the study of legal systems, including sources of law, government sectors, and court systems, students develop analytical and critical thinking skills to identify legal issues and understand their implications. While the course does not qualify students to provide legal advice, it equips them with a solid understanding of legal principles, regulations, and ethical considerations relevant to business operations. Topics covered include contract law (formation, vitiating factors, terms, termination, and remedies), negligence principles, consumer protection, business structures (partnerships and companies), ethics in business, and international legal considerations impacting business.
Financial Strategies for Growth
Study Pathway: Master of Business Administration (Leadership and Innovation)
This subject delves into the essential finance and accounting principles crucial for effective organizational management, along with the associated technologies. Students will explore how financial resources are utilized to support, develop, and expand an organization. They will gain proficiency in financial terminology, understanding concepts such as cash flow management, procurement, budgeting, financial control, audit processes, and risk management, all of which are vital for ensuring the smooth functioning of a business and forming the basis for growth strategies.
Creative Thinking for Innovation and Strategy
Study Pathway: Master of Business Administration (Leadership and Innovation)
This subject acknowledges the growing influence of innovation and creative thinking on strategic development, crucial for organizations to stay competitive amidst dynamic changes in politics, economies, society, and technology. Students will explore strategies and practices to cultivate innovative thinking, enabling them to adopt fresh perspectives and depart from conventional approaches that may no longer suffice for strategic planning in anticipation of new and emerging futures.
Entrepreneurship and Innovation
Study Pathway: Master of Business Administration (Leadership and Innovation)
This subject equips students with a comprehensive understanding of entrepreneurship and innovation, including the factors that foster entrepreneurial behavior. Through practical applications in new-product development or startup scenarios, students reinforce their knowledge of key principles and processes and their ability to apply them effectively. The curriculum also covers intrapreneurship and how leaders can foster innovation within established organizations. Topics include entrepreneurship, intrapreneurship, innovation, creativity, characteristics of entrepreneurs and entrepreneurial leadership, design thinking, the entrepreneurial and innovation processes, and ethical considerations in entrepreneurship and innovation. Students further develop their collaborative and communication skills through team-based assignments and presentations, as well as individual written reports.
Business Intelligence and Data Visualisation
Study Pathway: Master of Business Administration (Leadership and Innovation)
This subject delves into the critical areas of business intelligence and data visualization, recognizing them as key investment priorities in today’s information-rich environment. With the advancements in self-service capabilities, visualizations, and cloud-based technologies, organizations are increasingly relying on data to make informed decisions and adapt to market dynamics. Students will explore professional techniques in using business intelligence and data visualization tools to analyze business operations, performance, and market trends, enabling enhanced decision-making processes. The curriculum covers concepts, processes, and technologies in business intelligence, empowering students to interpret data-driven solutions, create impactful data visualizations such as dashboards, and provide actionable business insights. Through hands-on experience with industry-level software, students gain practical skills in leveraging data analytics for competitive advantage and strategic decision-making.
Applications of Business Intelligence
Study Pathway: Master of Business Administration (Leadership and Innovation)
This subject is designed to give students a comprehensive understanding of Business Intelligence (BI) concepts, technologies, and practices. Students will explore a range of tools including business analytics, data mining, visualization, and data management tools, learning how to integrate them to facilitate better data-driven decision-making within organizations. Through hands-on experience with specialized BI software, students will develop the skills to create and optimize data sets, design informative dashboards, and generate corresponding reports. The curriculum also emphasizes practical application, enabling students to research and build BI solutions for real-world challenges, preparing them to leverage BI effectively in professional settings.
Big Data Management
Study Pathway: Master of Business Administration (Leadership and Innovation)
This subject delves into the strategic significance of Big Data in organizational success, focusing on the role of Big Data managers in developing and overseeing data-oriented systems. Students will learn about contemporary Big Data management practices, industry-standard processes, and techniques used to ensure data quality and accessibility for business intelligence and analytics applications. Core concepts such as computational analysis of Big Data, Big Data models for management, and leveraging business intelligence for competitive advantage will be explored. Through real-world case studies and hands-on projects, students will gain practical experience in investigating and managing Big Data, offering valuable insights and benefits across various sectors and industries.
IT Professional Communication and Ethics
Study Pathway: Master of Information Technology
This subject equips Information Technology specialists with the skills needed to excel in a business context, including articulating the benefits of IT work, recommending technologies, and communicating effectively with diverse stakeholders. Emphasis is placed on stakeholder engagement, communication with technical and non-technical audiences, and creating comprehensive system documentation. Students also explore ethical considerations in data analytics and artificial intelligence, including issues of privacy, legal compliance, and social responsibility. Additionally, the subject covers research methods to evaluate current AI and data analytics approaches.
Database Design and Implementation
Study Pathway: Master of Information Technology
This subject provides students with a comprehensive introduction to designing and constructing relational databases, along with an overview of non-relational and NoSQL databases. Students will gain hands-on experience in creating and manipulating databases using Structured Query Language (SQL). Additionally, they will learn how to analyze and address the complexities of building large-scale databases using a database management system (DBMS). The course covers various deployment features in multi-user database systems, including data security, integrity, and data warehousing, preparing students to effectively manage and optimize database environments.
Introduction to Programming and Algorithms
Study Pathway: Master of Information Technology
In this subject, students delve into fundamental data structures and algorithms, mastering their application in developing Python-based applications. They acquire skills in foundational programming principles essential for future courses in Artificial Intelligence and Data Analytics. The curriculum emphasizes selecting suitable combinations of data structures and algorithms to solve specific problems efficiently. Students gain expertise in developing robust solutions and testing them rigorously. They also learn to gather and utilize simple code metrics to enhance their development process and make accurate estimations of effort required for programming solutions.
Introduction to Data Science
Study Pathway: Master of Information Technology
In this subject, students are introduced to the core concepts and methodologies of Data Science for data analysis. They acquire proficiency in using the statistical programming package R to conduct statistical analysis. Additionally, students learn modern modeling and solution techniques to address decision-making challenges across various sectors such as business, industry, and public services. The curriculum emphasizes the significance of identifying and testing model assumptions to ensure accurate and reliable results.
Artificial Intelligence
Study Pathway: Master of Information Technology
This subject introduces students to the fundamental concepts of Artificial Intelligence (AI), which encompasses computer systems performing tasks that typically require human intelligence. Students will explore a wide range of AI techniques, including intelligent agents, supervised and unsupervised learning, and neural networks. Through hands-on experience with various algorithms, students gain practical skills in applying these techniques to real-world applications such as information retrieval, decision-making, natural language processing, and automation.
Software Design and Development for Data Science
Study Pathway: Master of Information Technology
This subject is designed to prepare Data Analytics and AI professionals for collaborative project work within a software engineering framework. Students will gain a solid understanding of software engineering concepts and techniques essential for effective team participation and contribution. The curriculum also emphasizes adopting these concepts and techniques to enhance individual processes. Moreover, the subject highlights potential challenges where traditional software engineering models may not align perfectly with data science techniques, such as experimental data exploration and processing models. Students will learn to advocate for a synthesis of data science and software engineering approaches to ensure successful project outcomes.
Data Wrangling
Study Pathway: Master of Information Technology
This subject provides students with an in-depth exploration of advanced tools and techniques essential for preparing raw data for efficient utilization in data analysis and research. Students will learn various data-wrangling methodologies and programming techniques tailored for modeling, analysis, and research contexts. Topics covered include data extraction from diverse sources, manipulation of different data types, data preservation and retrieval, outlier removal, and handling missing data. Additionally, students will gain expertise in using advanced data visualization tools and critically consider ethical considerations related to data wrangling processes.
Data Mining
Study Pathway: Master of Information Technology
This subject covers two main areas of Data Mining, building upon the foundational knowledge from the Introduction to Statistical Learning course. The first part delves into unsupervised learning methods for pattern discovery, including dimensionality reduction techniques like Principal Components and clustering methods such as k-means and hierarchical clustering using R. Students also explore association mining with apriori algorithms, collaborative filtering, and anomaly detection. The second part focuses on neural networks and deep learning for pattern recognition, prediction, and classification, covering basic concepts, architectures, and applications, including deep learning’s capabilities. The course concludes with a study of real-world applications like customer segmentation and a discussion on current research trends and future directions in data mining.
Information Technology, Entrepreneurship and Innovation
Study Pathway: Master of Information Technology
This subject centers on leveraging Information Technology (IT) for innovation, covering the entire spectrum from identifying opportunities to developing a business plan for a startup. Students will engage in innovative thinking methods to generate ideas for new products or services and design prototypes. Through group collaboration, they will evaluate a range of potential innovations and choose one to develop into a functional prototype. Additionally, students will craft a comprehensive business plan to support their idea and prepare a compelling pitch tailored for presentation to venture capitalists.
Intelligent Decision Making
Study Pathway: Master of Information Technology
This subject delves into Intelligent Decision Making, an AI-driven methodology that revolutionizes business decision-making by leveraging advanced methods and tools for enhanced operational and customer-facing processes. Students gain a comprehensive understanding of solution optimization through theoretical exploration and hands-on application using real-world datasets. The curriculum equips students with the skills to design and implement decision-making frameworks that enable businesses to make informed decisions efficiently, even in challenging and uncertain environments, thereby driving strategic success and competitive advantage.
Deep Learning
Study Pathway: Master of Information Technology
This subject offers a comprehensive exploration of deep learning, a subset of artificial intelligence inspired by the human brain’s structure. Students gain a deep understanding of deep learning’s theoretical foundations and practical applications. They learn to develop and implement image classification systems using cutting-edge software tools. The curriculum covers essential deep learning techniques like convolutional networks and recurrent networks, which find extensive applications across various industries.
Applications of Business Intelligence
Study Pathway: Master of Information Technology
This subject delves into the world of Business Intelligence (BI), which integrates various tools like business analytics, data mining, visualization, and data management to enhance an organization’s data-driven decision-making capabilities. Students gain a deep understanding of BI concepts, technologies, and practices, learning to create and refine data sets, dashboards, and reports using specialized BI software. Through hands-on experience, students also develop skills in researching and implementing BI solutions for real-world challenges, preparing them to leverage BI effectively in professional settings.
Big Data Management
Study Pathway: Master of Information Technology
Big Data management is crucial for organizations’ success, with Big Data managers playing a pivotal role in developing and overseeing data-centric systems. Their responsibilities include ensuring data quality and accessibility for business intelligence and Big Data analytics applications. This subject introduces students to modern Big Data management practices, industry-standard processes, and techniques. Students delve into core concepts of computational Big Data analysis, management models, and the strategic use of business intelligence to gain a competitive edge. Through hands-on exploration and management of real-world Big Data, students gain practical insights that benefit businesses across diverse sectors.
