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- IT1000.10 – Introduction to Problem Solving and Algorithms | UHE
Return to Course Bachelor of Information Technology IT1000.10 – Introduction to Problem Solving and Algorithms Algorithms are step-by-step instructions for solving problems and are central to all areas of information technology, enabling computers to produce accurate, consistent and efficient outcomes when handling complex tasks and large datasets. They are widely used across fields such as cybersecurity for encryption and anomaly detection, software development for input validation and performance optimisation, and data and AI for pattern recognition and predictive modelling. In this subject, students will engage with industry-relevant case studies to identify, analyse and improve existing algorithms before progressing to designing their own. By the end of the subject, students will be able to apply algorithmic thinking in practical contexts and demonstrate relevant skills for their professional portfolios. Previous Next
- IT1020.10 – Information, Organisations and Digital Society | UHE
Return to Course Bachelor of Information Technology IT1020.10 – Information, Organisations and Digital Society Information, organisations, and digital society are increasingly interconnected, requiring IT professionals to effectively capture, process, manage, and present digital information across a range of media types. This subject introduces students to the analysis, manipulation, encoding, and retrieval of digital information, including text, images, audio, and video, while exploring how organisations use information to support communication, decision-making, and digital services. Students are introduced to markup languages such as HTML, SGML, LaTeX, and XML for structuring digital content and apply their knowledge through industry-inspired case studies and practical exercises. By the end of the subject, students will understand the role of digital information in organisations and society and will have developed practical skills in creating, managing, and optimising digital content for professional IT contexts. Previous Next
- UHE English Requirements | UHE Australia
Review UHE Australia’s English language proficiency requirements for undergraduate programs, including accepted tests and minimum score thresholds. UHE English Requirements Undergraduate Courses Postgraduate Courses Note: UHE accepts IELTS One Skill Retake (OSR) results as evidence of English language proficiency. Where an applicant has undertaken an IELTS OSR, the applicant’s resulting IELTS scores, incorporating the OSR result, must meet the overall and individual component score requirements specified above for the relevant UHE course. English Direct Entry If the applicant does not have a valid English test result, the following academic qualification can be accepted as meeting the English entry requirement: Satisfactory completion of secondary schooling in Australia; or One year of successful full-time (or equivalent) accredited foundation/diploma level studies or higher in Australia; or Successful completion of a recognised English bridging program; or Successful completion of studies equivalent to secondary school or higher outside Australia where the medium of instruction is English and recognised by UHE Countries with International students who are citizens of the following countries where English is the first language may be eligible for direct entry to their UHE bachelor or master’s programs provided they have at least one assessable qualification at Senior Secondary or Tertiary studies. Qualifications must be obtained no more than two years prior to the course commencement date at UHE. Canada (excluding Quebec) Cook Islands Ireland Kenya New Zealand Papua New Guinea Fiji Singapore South Africa United Kingdom (including Northern Ireland) United States of America Applicants who have successfully completed two full-time years of study or equivalent at a secondary (years 10-12) or post-secondary, or tertiary educational institution, where the sole language of instruction and assessment was English and if they can provide an original or certified statement or certificate of confirmation, issued by that institution. This study must have been completed no more than two years before the date of application to the UHE program. Successful completion of at least 50% of one study period of an Australian AQF9 course in the past two years where the English language entry criteria for that course is at or above those listed for the UHE course OR Successful completion of 100% of at least one study period of an Australian AQF9 course in the past two years where the English language entry criteria for that course is below those listed for the UHE course. Get in Touch Get in touch with our admissions team by emailing admissions@uhe.edu.au if you have any further queries
- UHE Australia Brochure | UHE Australia
Explore the UHE Australia brochure to learn about courses, scholarships, student support, campus facilities, and studying in Melbourne. Universal Higher Education - Brochure UHE Brochure
- ENG4003.10 - Business Analysis and Decision Making | UHE
Return to Course Master Of Engineering Management ENG4003.10 - Business Analysis and Decision Making This subject provides students with an understanding of the key concepts and frameworks relevant to business analysis and decision-making, with consideration for various factors such as social, commercial, and ethical requirements and expectations of stakeholders. The context of businesses and work in Australia, and an overview of business analysis and decision-making with relevance to engineering, sets the foundation for the subject. Students gain an understanding of how business analysis is carried out and the key techniques to be used at each stage, including strategy analysis and business analysis process, stakeholders, modelling business processes, analysing gaps, and developing business and financial cases. Students also learn how to establish, document, and manage requirements and ensure solutions align with business needs. Students engage in weekly class discussions and have the opportunity to apply their knowledge to worked examples and activities. Assessment tasks also provide students with the opportunity to gain contextualised knowledge relevant to analysing a business through the application of weekly learnings, as well as developing teamwork and communication skills. Individual students set up a program-based professional portfolio, which is to track and facilitate professional learning and development across all subjects of the MEM program. This is done by self-assessing their competencies at the start of each subject/semester and setting personal learning goals to work on the development of their skills and competencies, and to be prepared for the real world of work after graduation. Previous Next
- IT1200.10 – Fundamentals of Cybersecurity | UHE
Return to Course Bachelor of Information Technology IT1200.10 – Fundamentals of Cybersecurity This subject introduces foundational cybersecurity principles, threats, and controls through practical, hands-on learning suitable for students with diverse levels of IT experience. Students develop the knowledge and skills to identify common cyber threats, apply fundamental security measures, and understand security risks across digital systems. Core topics include common attack types, security controls, and the interpretation of network and host telemetry using beginner-friendly tools, along with an introduction to how emerging technologies support cybersecurity. The subject provides a strong foundation for further study and careers in cybersecurity, information security, risk management, systems administration, networking, and other IT roles that require security awareness and risk management skills. Previous Next
- Education Agents | UHE Australia
Become an authorized UHE Australia education agent by completing our selective application process. Partner with us to support international student recruitment. UHE Education Agents If you would like to become an authorized UHE agent then we’d love to hear from you. The process to become an authorized UHE agent is highly selective and we only accept the best quality applicants. Please complete the application form and our recruitment team will be in touch to assist you with your application to become a Universal Higher Education education agent. UHE Admissions Office will only accept applications from agents with a current agreement in place. Agent Application Form UHE Education Agents List
- IT3600.10 – Advanced Cybersecurity and Defence Strategy | UHE
Return to Course Bachelor of Information Technology IT3600.10 – Advanced Cybersecurity and Defence Strategy This subject prepares students for industry transition by applying foundational cybersecurity knowledge to analyse and defend against contemporary cyber threats affecting systems, networks, cloud services, mobile devices, and IoT environments. Students study attack methods such as social engineering, malware, ransomware, and system exploitation while developing skills in risk identification, penetration testing, ethical hacking, malware analysis, and basic reverse engineering in controlled environments, considering both user behaviour and technical system vulnerabilities. The subject also examines ethical, legal, and professional responsibilities in cybersecurity practice. By the end of the subject, students are prepared for industry transition by applying practical cybersecurity techniques to assess vulnerabilities and implement effective defensive strategies in organisational contexts. Previous Next
- IT5001.10 Introduction to AI and Machine Learning | UHE
Return to Course Master of Information Technology IT5001.10 Introduction to AI and Machine Learning This subject is structured to cover the basics of Artificial Intelligence and Machine Learning. It introduces students to the theory of Machine Learning, and the practical implementation of algorithms for supervised and unsupervised learning from data, including regression, classification, clustering, and dimension reduction. Students will use Python programming language for the implementation of the relevant AI and Machine Learning algorithms. Basic concepts of neural networks will also be used to solve AI-related problems, including trees versus linear models, nonlinear regression, neural networks, and clustering using factor analysis. Previous Next
- Board of Directors | UHE
Meet the Board of Directors at UHE Australia and learn about the experienced leaders providing strategic direction, governance, and oversight to support academic excellence and institutional growth. ULG Board of Directors (UHE Governing Body) The Board of Directors comprises executive and non-executive directors with diverse expertise in governance, higher education, finance, business, strategy, risk management, and corporate leadership. Professor Dharmendra Sharma (AM) Chair Learn More Scott Robertson Managing Director Learn More Davina McArthur Director Learn More Dr. John Wood Director Learn More Mirzan Mansoor Director Learn More
- AQF level | UHE Australia
Explore the Australian Qualifications Framework (AQF) levels at UHE Australia, detailing qualifications from AQF Level 7 to Level 9 and their associated qualifications. The Australian Qualifications Framework (AQF) is the national policy governing regulated qualifications within Australia's education and training systems. It integrates qualifications from all education and training sectors into a unified national framework. Courses offered at UHE ranges from AQF level 7-9. Below is a table outlining the qualifications associated with each AQF level: FOR MORE INFORMATION For more information regarding the Australian Qualifications Framework (AQF), please refer to: https://www.aqf.edu.au/
- IT2060.10 – Artificial Intelligence in Business | UHE
Return to Course Bachelor of Information Technology IT2060.10 – Artificial Intelligence in Business This subject develops the core concepts and practical applications of Artificial Intelligence, with a focus on machine learning and deep learning techniques. Students examine AI from both technological and user-based perspectives, considering how systems are designed and how they are applied in real-world contexts. Topics include supervised and unsupervised learning methods such as regression, decision trees, support vector machines, probabilistic classifiers, and clustering, as well as data preprocessing techniques like feature selection and dimensionality reduction. The subject also covers neural networks, convolutional neural networks, and introductory natural language processing for image and text analysis, with ethical and responsible AI design integrated throughout. Through Python-based practical exercises, students develop skills to design, implement, evaluate, and compare AI models for real-world industry problems. Previous Next
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