University of Technology Sydney (UTS) Courses & Fees

This course is designed to enable students to achieve a comprehensive and greater understanding of information technology in specialised technical or management areas. The wide range of specialisations allows students to tailor the course to satisfy their career development needs. Students with an undergraduate background in an information technology-related field are advised to consider the Master of Information Technology (Extension) (C04296). It is essential to keep IT knowledge and skills up to date. This course provides students with an enhanced understanding of the business context and technical developments shaping contemporary information and communications technology (ICT), and equips them to meet the challenges of working in the IT industry.

This course enables those with an IT or related degree to undertake a specialised sequence of subjects to upskill or study subjects in an area not covered in their previous studies. This course allows IT professionals to update their knowledge and skills in an essential area of IT to assist in career development.

This course is designed to enable students to achieve a comprehensive and greater understanding of information technology in specialised technical or management areas for the IT professional. The wide range of specialisations allows students to tailor the course to satisfy and to broaden their career development needs. It is essential to keep IT knowledge and skills up to date. This course provides students with an enhanced understanding of the business context and technical developments shaping contemporary information and communications technology (ICT), and equips them to meet the challenges of working in the IT industry, as well as providing the opportunity to develop skills in alternative IT disciplines.

UTS is at the forefront of analytics education in Australia with its focus on practice-based, interdisciplinary analytics and decision-making research. Big data in the internet age is very complex and growing exponentially, posing greater challenges for organisations. In this course, students can focus on real-world business problems in their own organisations and develop solutions as part of their research. This course enables graduates to extend and deepen their knowledge in a specialised area of analytics by undertaking research under the supervision of a member of academic staff. The core program is supplemented by short courses, seminars and projects. These courses provide academic rigour while using cutting-edge technologies. The course offers flexibility in the choice of research topics so that the research is closely aligned with the student's professional requirements. Students can undertake research in analytics to solve the problems that directly impact their organisations: research with a purpose. Advanced analytics techniques and solutions are increasingly being used by industry to drive productivity, transform business and increase competitiveness. The demand for skilled analytics professionals with the ability to work in both traditional and emerging industries continues to grow. With high-level analytics skills graduates are able to make a significant contribution to their organisation. Students also benefit from being able to work with world-leading researchers in this area.

This course is designed to enable students to achieve a comprehensive and greater understanding of information technology in specialised technical or management areas for the IT professional. The wide range of specialisations allows students to tailor the course to satisfy and broaden their career development needs. It is essential to keep IT knowledge and skills up to date. This course provides students with an enhanced understanding of the business context and technical developments shaping contemporary information and communications technology (ICT), and equips them to meet the challenges of working in the IT industry with a view to providing a pathway into a higher degree by research.

Artificial Intelligence (AI) is one of the most promising technologies, driven by big data and advancements in computing power and algorithms. It has huge potential to transform economies and uncover new societal and environmental values. This course enables students to broaden their knowledge and skills in Artificial Intelligence. Graduates of this course have a strong foundation in data analytics, visualisation, machine learning, and other aspects of AI. Students gain hands-on experience with a variety of AI projects, which will equip them to engage with challenges throughout a wide range of industries that utilise AI. The course is aimed at graduates from disciplines that are different from computing science, information technology or computer engineering, and who wish to upskill and enhance their knowledge in the area of AI.

The Graduate Diploma in Technology combines practice-based subjects, called Studios, with elective subjects from across the university, to adapt the course to the needs of students. We understand thats a lot of freedom. In Studios, students work with academics and professional peers in collaborative, intensive workshops on complex problems honing problem solving skills and critical thinking on sustainable development solutions. The studios teach design and systems thinking frameworks for students to apply and evaluate their technical knowledge and skills. The studios provide mentorship and a collaborative practice-based learning environment to develop competencies. The course teaches students to think in different ways that enable them to tackle complex problems, while building postgraduate level content knowledge in subject areas of their choice including postgraduate subjects focused on the intersection of technology and community, and scientific or technological processes or skills.

The Master of Data Science and Innovation (48cp) is a world-leading program of study in analytics and data science, specifically designed for professionals who have work experience in Data Analytics or IT but wish to enhance their career prospects in Data Science. Taking a transdisciplinary approach to learning, the course leverages students' rich industry experience, utilises a range of perspectives from diverse fields, and integrates them with hands-on training in innovative approaches and creative thinking towards data problems, equipping graduates with advanced and transferrable skills to leverage the latest data science approaches and best practices in tackling complex problems across a broad range of industries, sectors, and organisations. The course curriculum and subjects are co-designed and developed by UTS academic data experts and industry partners, and regularly reviewed and updated to keep up with the current market needs and latest data science trends. The course is delivered in a range of modes, including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities.

The Graduate Certificate in Technology combines practice-based subjects, called Studios, with elective subjects from across the university, to adapt the course to the needs of students. We understand that's a lot of freedom. In the core Studio, students work with academics and professional peers in collaborative, intensive workshops - honing problem solving skills and critical thinking on professional development. The studio teaches a systems thinking framework for students to apply and synthesise their technical knowledge and skills. The studio provides mentorship and a collaborative practice-based learning environment to develop competencies. The course teach students to think in different ways that enable them to unravel problems, while building postgraduate level content knowledge in subject areas of their choice including postgraduate subjects focused on the intersection of technology and community, and scientific or technological processes or skills.

The Graduate Certificate in Professional Practice combines practice-based subjects, called Studios, with elective subjects from across the university, to adapt the course to the student's needs. In Studios, students work with academics and professional peers in collaborative, intensive workshops - honing problem solving skills and critical thinking on their professional development. The studio teach a systems thinking framework for students to apply and evaluate their technical knowledge and skills. The studio provide mentorship and a collaborative practice-based learning environment to develop competencies. The course teaches students to think in different ways that enable them to unravel problems, while building postgraduate level content knowledge in subject areas of their choice.

Major regulatory changes and the emergence of new types of financial risks mean that skilled quantitative finance professionals are more in demand than ever. The UTS postgraduate Quantitative Finance program is recognised in Australia and overseas as a leading qualification for aspiring and established quantitative finance professionals. Designed by industry experts and leading UTS academics, the Master of Data Science in Quantitative Finance combines subjects from the internationally acclaimed UTS Master of Quantitative Finance with specialist study in data science and statistical modelling. Students learn to tackle data problems on new scales and at increasing levels of complexity and emerge ready to deliver advanced analysis and modelling in portfolio optimisation, market and credit risk modelling.

This course enables those with a non-IT or related degree to undertake an introductory sequence of subjects to upskill or study subjects in an area not covered in their previous studies. This course allows non-IT professionals to update their knowledge and skills in areas of IT to assist in career development.

This course is designed to enable students to achieve a comprehensive and greater understanding of information technology in specialised technical or management areas. The wide range of specialisations allows students to tailor the course to satisfy their career development needs. Students with an undergraduate background in an information technology-related field are advised to consider the Master of Information Technology (Extension) (C04296).

It is essential to keep IT knowledge and skills up to date. This course provides students with an enhanced understanding of the business context and technical developments shaping contemporary information and communications technology (ICT), and equips them to meet the challenges of working in the IT industry.

The Master of Cybersecurity is designed to meet the need for specialised industry professionals to help organisations and society manage the increasing challenges of creating and maintaining secure online systems. The course is aimed at computing science, information technology or computer engineering graduates, with or without cybersecurity experience, who wish to learn or extend their knowledge of cybersecurity in various contexts. The postgraduate cybersecurity program provides IT and computing professionals with the opportunity to upskill and meet the demands of this rapidly changing field. Students in the program engage in practical, hands-on learning using technologies to create and manage secure networks, systems and devices. The program covers a broad range of current and emerging areas of cybersecurity, including network security, cloud security, mobile platform security, and IoT security. There is strong industry demand for cybersecurity professionals with advanced technical capabilities and an understanding of the risks and opportunities in this growing field. This course provides ideal preparation for graduates seeking careers in cybersecurity.

The Master of Data Science and Innovation is a world-leading program of study in analytics and data science. Taking a transdisciplinary approach, the course utilises a range of perspectives from diverse fields and integrates them with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes, including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities. Industry partnerships and engagement are a core part of the course. The course curriculum and subjects are co- designed and developed by UTS academic data experts and industry partners, and regularly reviewed and updated to keep up with the current market needs and latest data science trends. During the course study, students have abundant opportunities working on real world data sets/projects. The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.

Artificial Intelligence (AI) is one of the most promising technologies, driven by big data and advancements in computing power and algorithms. It has huge potential to transform economies and uncover new societal and environmental values. This course enables students to gain fundamental and advanced knowledge in data analytics and visualisation, machine learning, deep learning, and various aspects of AI. Students have opportunities to gain expertise in specialised areas such as Computer Vision or Natural Language Processing and to solve real-world problems. Hands-on experience with real-world research and industry projects enables graduates to manage the increasing challenges of creating and maintaining AI systems. Graduates from this course become socially responsible and technically competent as AI specialists, to help current and future industry across many sectors, such as banking and finance, healthcare, agriculture, infrastructure development, or natural resource management. This course is aimed at graduates from computing science, information technology or computer engineering, who wish to learn or extend their knowledge of AI in various contexts.

This course is designed to provide management knowledge which can be tailored to fit students' needs. It is designed to provide practising engineers with extended knowledge beyond their first degree and to update knowledge and skills in recent advances in engineering, technology and business practice. The subjects offered follow an integrated approach to professional practice through a choice of professional engineering subjects and an elective. Many working engineers and technologists do not have the time to commit to a master's course. However, the demand for management knowledge among engineers is increasing.

This course provides an opportunity at master's level for professional engineers to extend in depth and breadth the knowledge and skills gained in their undergraduate studies. The course is an extension of the traditional Master of Engineering (C04271) in that it also includes a sub-major in one of the fields offered as majors. The course follows an integrated approach to professional practice through professional engineering subjects, subjects relating to the major and sub-major, an independent project in at least one field of engineering, and a set of electives. Students who wish to undertake a more substantial research project have the opportunity to transfer to the Master of Engineering (Advanced) (C04278). This course allows students to choose a program of study that deepens the body of knowledge acquired in their first degree as well as expands knowledge boundaries into policy and engineering management areas. It also provides an opportunity to broaden knowledge in another field through a sub-major, giving an added advantage to students who seek career options in multidisciplinary areas.