Subjects overview
This program can be completed in 2 years (6 semesters)
Core Curriculum
Students must complete three (3) subjects plus the Beyond Bond Program.
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CORE11-011: Critical Thinking and Communication (10CP)
In this subject, students will be introduced to critical thinking and clear expression. They will evaluate arguments, identify assumptions, judge patterns of inference, and recognise and apply various methods of reasoning. Students will learn how to clarify and visually represent their thinking to make better decisions, evaluate and use evidence, and communicate more effectively in their writing and speaking. Using these skills, students will structure and write an academic essay and deliver an oral presentation.
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CORE11-012: Responsibility, Integrity and Civic Discourse (10CP)
Integrity, and the courage and capability to act on one’s sense of responsibility, are key components of a thriving life. Responsibility, Integrity and Civic Discourse fosters students’ lifelong commitment to responsible discourse and action in all spheres of human interaction, recognising the global aspect to contemporary citizenship. Students explore the complex relationship between character, responsible action, and creative critical thinking, learning how to reflect on and articulate their unique sense of global citizenship and responsibility. By accentuating the importance of justification and articulation of the reasons for our actions, students exercise their critical, communicative, and cooperative capabilities so that they can thrive with integrity in the multiple contexts of action they will face as private, civic, professional, and global citizens.
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CORE11-013: Collaboration for Global Change (10CP)
In today's work and study environments, individuals often encounter complex, open-ended problems that necessitate collaboration in both physical and virtual realms and across sectors and specialisations. In Collaboration for Global Change, students engage collaboratively to craft genuine solutions for global issues. In this context, students link their endeavours to specific sustainable development goals, thus positioning their actions as contributions to global citizenship. As they learn to defend their ideas and perspectives, students apply critical thinking, design thinking, problem-solving, and communication skills within a problem-based learning environment. This comprehensive approach equips them with the necessary skills and mindset to excel in future work, academic pursuits, and global initiatives.
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Beyond Bond Program
To keep up with the ever-changing work landscape, we aim to help our students future-proof their careers by developing broader employability skills that are actively sought out by employers. Unique to our University, Beyond Bond is a compulsory professional development program with a practical, activity-based approach that is integrated into all undergraduate degrees.
Required Subjects
Students must complete the following one hundred and ten credit points (110CP) of subjects.
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BUSN12-200: Responsible and Sustainable Organisations (10CP)
Considering the increasingly complex environmental, social and governance challenges facing today's business organisations, it is essential to develop an integrated understanding of business and its role in society. In this subject, students will be challenged to explore a multinational business from multiple perspectives to develop a systems view of the organisation and its global business environment. Through readings, discussions, case studies, projects and other learning activities, students will develop a more nuanced view of the purpose and functioning of business, the expectations of stakeholders, and the challenges and opportunities inherent in addressing those expectations. This exploration will include understanding the functional areas of business as well as how each can work together in an overall design to enable an integrative and innovative approach to responsible and sustainable business.
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DTSC12-200: Data Science (10CP)
Organisations use their data for decision support and to build data-intensive products and services. The collection of skills required by organisations to support these functions has been grouped under the term Data Science. This subject will articulate the expected output of data scientists and then equip students with the ability to deliver against these expectations. A particular focus will be given to the tools required to model, store, clean, manipulate, and ultimately extract information out of stored data.
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DTSC13-300: Infrastructure for Data Analytics (10CP)
Using an information systems approach, this subject outlines the design principles and techniques necessary to produce appropriate infrastructure specifications for different data analytic systems. These requirements can be specified in terms of people, procedures, data, software, and hardware. Successful designs will allow systems to automatically extract insights from vast amounts of available data. Topics include, but are not limited to, key modern issues such as job roles in data analytic ecosystems, the operation of organisations, security and data integrity principles, business processes, blockchains, NoSQL databases, cloud solutions, software options and fundamental tenets of computing. The knowledge of these, and understanding how the components interact together, allow students to design efficient systems that are robust to change and conform to best practice.
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ENAI11-100: Computational Thinking (10CP)
Computational Thinking is a foundation subject that introduces students to problem-solving used in modern computing and AI environments. Topics include decomposition, recognising patterns, abstracting structures and logic flows, and developing algorithms that are generalisable and reusable. Other important skills covered are debugging and testing. Students will learn to apply these concepts both in theory and practice, building skills that are used to tackle real-world problems. The traditional computational methods are blended with emerging AI. Students will learn how to integrate AI tools into a workflow to produce, optimise and validate code used in business environments
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ENAI11-101: Cybersecurity, Networks and Operating Systems (10CP)
Cybersecurity, Networks & Operating Systems explores the foundational and advanced concepts underpinning modern computing systems and secure networked environments. Students will examine core operating system functionalities, including process and memory management, file systems, input/output handling, and scheduling strategies. The subject also delves into permission models and security mechanisms that safeguard system integrity. Networking topics cover essential protocols such as TCP/IP and the roles of devices such as switches and routers in data transmission. Emphasis is placed on identifying and mitigating cybersecurity threats within operating systems and network infrastructures, preparing students to design resilient systems and apply best practices in secure computing.
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ENAI11-102: Algorithms and Data Structures with AI-Assisted Implementation (10CP)
This subject introduces students to the core principles of algorithms and data structures, equipping them with the skills to design efficient solutions to computational problems. The subject covers fundamental data structures such as arrays, stacks, queues, trees, and graphs. It also covers classic algorithms for sorting and searching, and their time and space complexity are discussed. Key algorithmic paradigms, including divide and conquer, greedy methods, and dynamic programming, are introduced. AI tools are integrated in the learning, supporting the development process and code generation, debugging, and optimisation of code. Through hands-on programming and reflective practice, students will gain technical proficiency and an understanding of how AI can enhance coding practice.
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ENAI12-200: Programming Paradigms and AI Principles (10CP)
This subject explores the modern approaches to programming through the study of three key paradigms: procedural, functional, and object-oriented. Students will develop a deep understanding of structured programming techniques, functional constructs such as immutability and higher-order functions, and object-oriented principles including encapsulation, inheritance, and polymorphism. The subject also covers examples of implementations of algorithms and data structures across these paradigms, showing how to apply computational thinking and design in different programming languages. In addition, students will engage with AI-assisted programming approaches to examine how generative tools can assist in code generation, debugging, and problem-solving. Through hands-on activities and critical reflection, students will gain the ability to select and apply appropriate programming languages and AI tools to solve real-life problems through programming.
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ENAI12-202: Data Management (10CP)
This subject introduces students to the principles and practices of managing data effectively in modern computing environments. It covers foundational topics such as database design, relational models, and the use of SQL for querying and manipulating data. Students will learn to construct Entity-Relationship diagrams, apply normalisation techniques to optimise database structure, and explore strategies for ensuring data reliability through backup and recovery. The subject also examines the evolution of data systems by introducing NoSQL and non-relational databases, highlighting their applications in handling large-scale, unstructured data. Through practical exercises and conceptual analysis, students will gain the skills to design, implement, and maintain robust data management solutions, using AI to support the learning of the syntax for specific database management software.
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ENAI13-301: Software Design, Maintenance and AI integration (10CP)
This subject provides an overview of software engineering principles, focusing on the design, maintenance, and evolution of software systems in modern development environments. Students will explore the software development life cycle, foundational design concepts, and the importance of modularity, testing, validation, and version control. Emphasis is placed on quality assurance practices and the use of tools to support collaborative development. The subject also introduces AI-integrated approaches to software design and maintenance, examining how AI tools can assist in code generation, refactoring, testing, and documentation. Through practical exercises and critical analysis, students will gain the skills to design robust software systems and integrate AI tools effectively and ethically into the software engineering workflow.
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ENAI13-304: Applied Enterprise AI Project (10CP)
This subject is the capstone project at the end of the AI Development and Enterprise. Students are required to apply the concepts, theories and frameworks from their entire program to complete a research project. Working under the supervision of an academic staff member, students will navigate the research process, develop research questions that are relevant to both the industry and the academic community, synthesise the relevant literature, and use appropriate AI techniques to achieve the objectives of the project. Projects may be created internally or may be sourced from the industry.
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STAT11-112: Quantitative Methods (10CP)
Designed to foster the development of foundational mathematical and statistical skills necessary for subsequent quantitative subjects in the Bond Business School. This includes applications of calculus, probability, discrete and continuous random variables, sampling distributions, hypothesis testing, and application of the central limit theorem to large sample inference and data analytics. The use of popular statistical computing packages is integral to providing an applied approach to these topics.
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Innovation Option
Students must choose 10 credit points (10CP) of the following subjects.
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ENFB11-101: Everyday Entrepreneurship (10CP)
Everyday Entrepreneurship refers to a perspective that embraces the diverse forms of entrepreneurship beyond the traditional focus on business startups and rapid growth to include self-sufficient individuals who create their own ventures using resourcefulness and talent to address economic, social and environmental opportunities. Thus, everyday entrepreneurs contribute to their communities in myriad ways. This subject aims to provide students from all academic backgrounds with a broad introduction to entrepreneurship. With a focus on dispelling common myths and misperceptions about entrepreneurs and the entrepreneurial process, students will not only explore the characteristics and mindset of entrepreneurs but also the broad applications of the capabilities from the creation of new business ventures to applications in corporate innovation and continuous improvement to social entrepreneurship and taking on the grand challenges facing our planet.
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MGMT13-311: Leading Innovation and Change (10CP)
A ubiquitous challenge in organisational life is how to effectively initiate, implement and sustain desired change. Although organisations continue to expend staggering amounts of time and resources on change initiatives, the majority of such efforts do not achieve their intended outcomes. In this subject, students will explore the underlying reasons for these failures to examine the fundamental nature of change and the challenges that change agents at different organisational levels face as they plan and execute change. Since organisations consist of people, students begin with an examination of individual change to explore fundamental concepts before extending and expanding their scope to consider change at the organisational level. Students will have the opportunity to apply and test their understanding of change management principles through readings, case study discussions, exercises, role plays and individual and group projects.
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Enterprise AI Option
Students must choose twenty credit points (20CP) from the following Enterprise AI option:
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DTSC13-301: Deep Learning Through Neural Networks (10CP)
Computer vision, natural language processing and personalised recommendations are just a few of the uses of artificial neural networks that are increasingly relevant to real-world problems that pose challenges for traditional data analysis techniques. This subject introduces students to the foundational ideas associated with the many variations of these models that have been developed for domains involving image data, temporal data, and natural language. This includes feed-forward, fully connected neural networks, convolutional neural networks, recurrent neural networks, and the transformer architecture. Class discussions will introduce the technical underpinnings of the models and applied sessions and assessments provide students the opportunity to experiment and apply them to a wide range of practical, real-world problems using Python.
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DTSC13-305: Financial Trading Systems (10CP)
This subject provides the opportunity to learn the tools and strategies used by investment and hedge fund managers to invest and trade in a number of financial instruments, including equities, futures, FX and ETFs in both low and high-frequency environments. Using financial data drawn from a variety of sources including Bloomberg, you will learn to model and benchmark these strategies using Python. The overall aim of this applied, research-focused subject is to explore quantitative trading strategies used to capitalise on market anomalies.
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DTSC13-306: Modern Machine Learning Models (10CP)
This subject is designed for students who already have a basic understanding of machine learning and want to deepen their knowledge using more advanced techniques. The subject focuses on advanced machine learning methods that are relevant and effective in many real-life and business applications. Students will be provided the necessary tools to wrangle data, implement and train machine learning models, and evaluate the performance and feasibility of these models in the context of the environment where these models are going to be applied. Advanced visualisation tools will be used to create dynamic visual representations of data.
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ECON13-301: Game Theory and Strategic Decision Making (10CP)
Game theory is a field of study that helps us understand decision making in strategic situations. In addition to being an important methodology within the economics discipline, it also gives insights into pricing and management strategies used by a business. Furthermore, game theory has wide-ranging applications in areas such as international relations, political science and military strategy. Much of game theory involves the interaction of decision makers where there is an asymmetry of information. Thus, the study of game theory can provide insights into how decision makers act when there is some important information that they cannot directly observe.
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ENAI11-111: AI for Business Professionals (10CP)
This subject equips professionals and emerging business leaders with the strategic, ethical, and practical knowledge to leverage artificial intelligence (AI) both personally and within modern organisations. Students will explore AI's capabilities, limitations, and implications, and learn how to apply AI tools to improve decision-making, innovation, and operations. Through a combination of theoretical content, real-world case studies, and hands-on tool exploration, students will be prepared to lead AI-driven transformation within their industries.
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FINC12-201: Financial Applications and Analysis (10CP)
An introduction to statistical techniques used in financial analysis and decision-making. Specific applications include capital budgeting, capital asset pricing model, arbitrage-pricing, portfolio modelling and the study of co-movements of different financial assets. The use of spreadsheets and related software tools is central to the learning experience of this subject to provide extensive opportunities to develop practical skills in financial analysis and modelling.
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LAWS10-210: Enterprise Law (10CP)
This subject is an introductory level examination of the law regulating enterprises in Australia today. Students will develop a foundational understanding of the Australian legal system and the laws associated with starting, financing, managing, and closing an enterprise. They will also cultivate the skills and knowledge to recognise and respond appropriately to legal problems, including those involving causing harm, making and enforcing deals, dealing with consumers and competitors, and protecting IP.
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MKTG13-315: Marketing Analytics (10CP)
This subject enables students to apply appropriate marketing analytical tools and techniques to address a range of marketing challenges. Importantly, it will also highlight the role and importance of marketing analytics to support a data-driven approach to marketing strategy and decision making. Through a variety of applied activities and assignments, students will have the opportunity to develop a thorough conceptual understanding of marketing analytics and its applications.
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General Electives
Students must choose seventy credit points (70CP) of undergraduate subjects from across the University.
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University Undergraduate Electives
Students may choose from all Undergraduate subjects across the University that are available as general electives.
Opportunities
Students may take advantage of the following opportunities.
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Undergraduate Opportunities
Students may have the opportunity to participate in an international study tour experience or internship as a general elective. Those interested should consult with an Enrolment Officer in Student Assist for guidance and to check eligibility requirements (e.g., GPA, language proficiency, prerequisites). Students should make informed decisions and ensure their chosen international experience or internship aligns with their academic and personal goals.
Participating in such an opportunity may involve additional costs, which may vary depending on the opportunity's location, duration, and nature. Students are responsible for all associated expenses, including travel, accommodation, visa fees, insurance, and any program or placement fees that may be applicable.
Opportunities
- BUSN13-300: Silicon Valley Study Tour (10CP)
- BUSN13-301: South Pacific Study Tour (10CP)
- BUSN13-302: Asia Study Tour (10CP)
- BUSN13-303: Europe Study Tour (10CP)
- BUSN13-304: East Asia Study Tour (10CP)
- BUSN13-305: Southeast Asia Study Tour (10CP)
- BUSN13-306: North America Study Tour (10CP)
- BUSN13-620: Individual Study in Business (10CP)
- BUSN13-700: Business Internship A (10CP)
Major / Minors / Specialisations Finder
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Study plan
Take the guess work out of planning your study schedule. Your program's study plan has been carefully curated to provide a clear guide on the sequential subjects to be studied in each semester of your program. Your study plan is designed around connected subject themes to equip you with the fundamental knowledge required as you progress through your course.
Connect
Speak to a current Bond student
Connect
Speak to a current Bond student