Search this site

Return to Course Master of Information Technology IT5006.10 AI for Entrepreneurship In this subject, students will learn to unleash the creativity of entrepreneurs with AI technologies. The challenges and opportunities for the 21st century and the AI era of entrepreneurship will be examined. Students will learn how cloud services, mobile computing, blockchain, and other AI techniques are used in businesses and start-ups for entrepreneurs. New ways of working, implications for the organisational design and financing of entrepreneurial ventures will be addressed. Students will develop key skills and factors of entrepreneurial success through case studies. Class activities engage students in case studies to explore ethical dimensions and professional practice in entrepreneurship. Students develop, pitch and then prototype an AI product or service. Previous Next

Return to Course Master of Information Technology IT5012.10 Ethical Hacking and defence This subject covers the latest cyber threats, including attackers’ devious weapons, skills, and tactics, and offers field-tested remedies. There will be case studies to work on and discuss, and practical work in the laboratories. Students will learn to complete actionable planning and analysis methods as well as practical steps for identifying and combating both targeted and opportunistic attacks. The subject also has in-depth coverage of the hacking on the Internet of Things, mobile, and cloud, along with penetration testing, malware analysis, and reverse engineering techniques. Practical labs include spoofing exploits, binary diffing, and XSS attacks. State-of-the-art malware, ransomware, and system exploits are also covered. The focus will be on the ethics and professional practice in ethical hacking, white hat, grey hat, and black hat hacking, and the implications for businesses and society. Students will be able to learn to secure computer networks by applying effective ethical hacking techniques and will also be able to interpret reverse engineering for the latest cyber threats. Previous Next

Return to Course Bachelor of Information Technology IT1060.10 –Computer Programming This subject introduces the foundations of computer programming using Python, highlighting its role in modern information technology systems such as mobile applications, cloud platforms, cybersecurity, and data-driven services. Students learn to design, develop, test, and debug programs that solve practical problems while exploring algorithms through pseudocode and implementing solutions using both procedural and object-oriented programming techniques. Core concepts, including variables, control structures, functions, data collections, and objects, are applied through industry-inspired case studies that reflect real-world IT practice. By the end of the subject, students will be able to develop well-structured programming solutions and supporting documentation, demonstrating practical programming skills suitable for professional portfolios and graduate employment. Previous Next

Return to Course Master of Information Technology IT4007.10 Cloud Computing This subject discusses the technological and managerial aspects of cloud computing paradigms. It introduces students to various cloud computing delivery models, technologies and services behind main technological providers, and analyses existing platforms for public and private clouds. This subject also elaborates son cloud computing service-level and compliance-level agreements and covers a range of technical concepts related to parallel and distributed computing, cloud security, modelling and managing concurrency, cloud computing applications, virtualisation, cloud data storage, resource management and scheduling. Security requirements, ethical issues, vulnerabilities and other major challenges in cloud infrastructures are also covered in this subject. Students will also build a basic AWS site. Previous Next

Return to Course Bachelor of Information Technology IT1100.10 – Artificial Intelligence Foundations This subject introduces the core concepts and practical applications of Artificial Intelligence, with a focus on machine learning and deep learning techniques. Students explore both the user-facing and technical aspects of AI, building a foundation for advanced study and industry practice. Topics include supervised and unsupervised learning, regression, decision trees, support vector machines, probabilistic classifiers, clustering, data preprocessing, feature selection, and dimensionality reduction. The subject also introduces neural networks, convolutional neural networks, and basic natural language processing for image and text analysis, while emphasising ethical and responsible AI development. Through Python-based practical exercises, students learn to design, implement, evaluate, and compare AI models for real-world problems, with Python fundamentals provided for those new to programming. Previous Next

Return to Course Bachelor of Information Technology IT2200.10 – Cybersecurity and Large Language Models This subject develops students’ capability to evaluate, govern, and securely apply Large Language Models (LLMs) and Artificial Intelligence systems in organisational environments. Students examine AI from both cybersecurity and governance perspectives, exploring risks such as prompt injection, data leakage, adversarial attacks, model misuse, and misinformation, while also investigating how AI can strengthen threat intelligence, incident response, security operations, an bd risk assessment. Through authentic scenarios and industry-relevant case studies, students develop professional skills in AI governance, ethics, privacy, compliance, risk management, and secure AI deployment, preparing them for further study and careers in cybersecurity, AI governance, technology risk, and secure system design. Previous Next

Return to Course Master of Information Technology IT4006.10 Information Security Fundamentals This subject discusses the principles and practices of protecting information assets in organisations from internal and external threats. It introduces students to a broad range of concepts related to information security that expands discussions to cyber security and network security. This subject critically analyses planning and implementing security frameworks, processes, and policies related to security management. This subject also investigates the need for information security and proposes plans and policies to achieve privacy and security compliance addressing legal, ethical, professional, and risk management issues. Previous Next

Return to Course Master of Information Technology IT5014.10 Enterprise Information Systems This subject introduces students to the management of enterprise systems. It focuses on using enterprise systems to maximize organisational value and discusses the approaches taken by organisations to integrate various information systems to develop ERP (Enterprise Resource Planning) systems. Starting with an overview of enterprise systems in organisations, this subject discusses the need for ERP systems, components, architecture, ERP implementation, ERP development life cycle, stakeholders, and software vendors for ERP. This subject also addresses transition management, business process engineering, change management, supply chain management, customer relationship management and ethical and security concerns of managing enterprise systems. Previous Next

Learn about UHE Australia’s governance structure, including the Board, Academic Board and committees ensuring strong oversight and accountability. Governance The Board of Directors serves as the governing body for UHE, overseeing its higher education operations and guiding the overall direction of the Institute. Comprising a majority of independent members, along with representatives from the company's owners and executive management, the board features a blend of external and internal contributors. External members bring diverse expertise, complemented by internal stakeholders who have played a pivotal role in UHE's growth. Collectively, the Board ensures UHE's adherence to its Vision and Goals statements and upholds its responsibilities as a higher education institution. To enhance efficiency, the Board has established standing committees tasked with providing advice, recommendations, and exercising specific powers delegated by the Board. Board Of Directors Academic Board Executive Management Group ULG Governance Structure

Reach out to UHE Australia for general or admissions inquiries. Visit us at 1/131 Queen St, Melbourne, or contact info@uhe.edu.au or +61 3 9600 0087. Contact Us General Enquiries: 1/131 Queen St, Melbourne VIC 3000 info@uhe.edu.au UHE: +61 3 9600 0087 Admissions Enquiries: 1/131 Queen St, Melbourne VIC 3000 admissions@uhe.edu.au UHE: +61 3 9600 0087 First Name Last Name Email Message Send Thanks for submitting! Opening Hours Mon - Fri 8:00 am – 8:00 pm Saturday Closed Sunday Closed

Access essential policies, procedures and downloadable forms at UHE Australia, including the Glossary of Terms and Student Code of Conduct. UHE - Policies, Procedures and Forms Policies and Procedures For definitions of all terms and acronyms used in the policies, please refer to Glossary Forms Please download all Word forms before filling them in, as they cannot be edited in your browser. Glossary of Terms Glossary

< Back UHE Guaranteed Internships Gain real world industry experience while you study at UHE Australia UHE Guaranteed Internships! UHE now guarantees internships to all eligible* students in its degree courses of Bachelor of Information Technology (BIT), Master of Information Technology (MIT) and Master of Engineering Management (MEM). Internships are part of UHE's commitment to maximising graduate employment outcomes. The first internships commence in July 2026. All interns will have industry-partners and will be completing industry-relevant, real-world work giving them valuable knowledge, skills and attributes. Internships are unpaid. *Student Eligibility Criteria: The following eligibility criteria apply: Eligible students must have passed all prerequisite subjects as specified on the course structure. The timing of the internship must align with the advertised course structure. All students are required to complete forms, training and other pre-internship requirements in the term directly prior to their internship. Internships must follow the allocated subject outlines, including completion of required assessment. Each students’ skills, experience, readiness, and professional suitability will be assessed to determine whether the student is appropriate for an Individual Internship, a Group Internship or an On-Campus Internship. The internship model selection will be at the discretion of UHE to determine the most appropriate placement alignment for each student. Students who do not meet attendance and other reasonable performance expectations may be subject to reassignment to an alternative internship model at the discretion of UHE. Failed subjects (with/out compelling and compassionate circumstances) and record of academic integrity breaches (if applicable) will be taken into consideration when determining the internship model. Students must be up to date on all UHE financial payments (student fees) and/or have a UHE approved payment plan in-place. Previous Next