This two-year Master of Machine Learning and Computer Vision (MMLCV) program provides students with specific knowledge and prepares them with competitive professional skills and high flexibility to build their career in the field of Machine Learning and Computer Vision. ANU is one of the finest research universities in Australia, and hosts the ARC Centre of Excellence for Robotic Vision. This new program will be offered by world-class prominent professors and researchers in Computer Vision, Machine Learning, and Artificial Intelligence, based in the College of Engineering and Computer Science (CECS). For interested students, this program also provides a potential pathway to PhD study.

The Graduate Diploma in Computer Science provides students with any undergraduate degree and some programming/maths experience with the equivalent of a major in Computer Science. The course will augment students existing knowledge with considerable technical expertise in computer science, including exposure to a variety of programming paradigms, an understanding of the systematic processes underpinning the software development lifecycle, and an appreciation of advanced topics in computing.

The Graduate Certificate in Computing is designed for students who wish to complete a short qualification in Computing. You'll study four advanced topics in Computing to complement or update your existing qualifications, or if you have no background in the area you can undertake four introductory level courses before considering a higher-level qualification in this discipline. In this certificate you can choose from a range of Computing electives. You'll have the opportunity to gain knowledge and skills or update your existing qualifications by choosing electives from the areas including Artificial Intelligence, Bioinformatics, Database Systems, e-Commerce systems and many more traditional and emerging areas of Computing and IT.

Change is the only constant in the world of computing. If you're a computing professional looking to upgrade, update or deepen your knowledge of rapidly evolving technologies this program is for you. The Graduate Certificate in Computer Science is designed for applicants with a bachelor's degree in computer science or information technology (or a related field). There are other ways to meet admission requirements see Entry Requirements. You can focus on one or several areas of interest when choosing from the range of computer science courses, including an advanced research project at masters level. You will be taught by a mix of internationally renowned lecturers, industry professionals and leading researchers. Our learning spaces are some of the most innovative in the world, allowing students to share ideas, help each other and socialise. Program highlights Complete your choice of courses that cover topics from advanced computer science, software engineering, information systems, communication systems, interaction design, research and more. In total, there are nearly 50 courses to choose from. Undertake a research project that addresses a specific topic or problem from the broad fields of electrical, computer systems or software engineering. Benefit from a program that offers a flexible study plan. Tailor your studies to suit your interests, your industry, or your career goals.

The Master of Data Science gives you the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives, to deal effectively with large data-management tasks, to master the statistical and machine-learning foundations on which data analytics is built, and to evaluate and communicate the effectiveness of new technologies. As the rise of data science is a global phenomenon, the course prepares you for an international career. You will gain a detailed knowledge of contemporary data management and analysis technologies, including those for data collection and storage, visualisation, internet-based applications, and software project management. You will also acquire essential skills in high performance computing.

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 Computing provides a postgraduate introduction to computing for students without prior knowledge of IT and computing. It will allow graduates and professionals from a non-IT background to add to their current knowledge and skills set with a recognised qualification in computing. With 5.1 million Australian jobs at high risk of digital disruption and businesses competing in a data-driven global economy, digital technologies and innovation will need more employees trained in computing and information technology. Job growth in these areas will be exponential around the world with increasing employment opportunities in data science, cyber security, IT management, health informatics, and software engineering and development. The program includes subjects in IT project management where students will develop skills in methods and processes associated with the task of managing information technology and software development projects in an ethical and professional manner; research methodology where students will define research problems, and design solutions; and a selection of technical subjects to develop skills for further study or for your professional field. UOW ranked first number one in NSW/ACT for Skills Development in postgraduate Computing and Information Systems. (QILT 2019) UOW's Faculty of Engineering is proud to offer the Graduate Certificate in Computing as one of these courses. Interested applicants who are eligible* and available to study between May and December 2020 can undertake this degree at the heavily discounted rate of $2,500, enjoying the same world class learning experience and tangible outcomes they would if they were to study at any time. Visit the Discounted Short Courses website for more information and how to apply. Upon successful completion of the Graduate Certificate in Computing, both the short course and the regular degree, you may seek to continue your studies in the UOW Master of Computer Science or the Master of Information Technology.

Further your research skills and contribute to advancements in computer science. As a computer science masters by research candidate, you have the flexibility to pursue an individual topic, or contribute to one of our existing research areas. You will join an active research community and work with academics, peers and partner organisations who have demonstrated research success in a range of specialities, including: data engineering and analytics distributed systems and networking heuristic optimisation information retrieval and web search software engineering RMIT's success is demonstrated in international university rankings, with computer science at RMIT being placed in the top 200 universities in the Shanghai Jiao Tong rankings and joint sixth in Australia for computer science and information systems in the 2015 QS World University rankings. The Australian Research Council identified our research in Artificial Intelligence and Image Processing and Information Systems as above world standard in the Excellence in Research for Australia (ERA) reports.

This course provides a coverage of aspects modern computing. It covers fundamental programming and theoretical knowledge The course teaches both the theoretical and practical aspects of Computing with an emphasis on the skills sought out by the industry. Fundamental knowledge that underpins the areas of Artificial Intelligence (AI) and Cyber Security and Computer Science is taught throughout the course and emphasis is placed on learning the basics before moving onto advanced topics.

The Artificial Intelligence specialisation will provide you with the advanced knowledge and skills required for a successful career working with AI systems. You'll critically examine emerging trends and topics, such as machine learning and natural language understanding. You'll also consider ethical and legal questions about AI systems, and learn about core AI techniques and the business context in which they operate. And, you'll have many opportunities to undertake practical hands-on experience developing and assessing AI solutions for business, including the option of an industry-based internship or supervised research project.

The Master of Science (Network Systems) is a 12-unit masters program concerned with the design, management, maintenance and service provision of private and public networks.

Enter the revolutionary area of big data where there is a strong demand for data scientists. This is expected to drive future growth in the data science workforce, with an annual growth rate of 2.4% between 2016-17 and 2021-22 (which is stronger than the 1.5% per annum growth forecast for the entire Australian labour force)1. Vast volumes of data are generated every day around the globe. The need to make sense of it has given rise to the revolutionary area of 'Big Data', and to a new career of 'data scientist'. Data scientists find patterns, making meaning and drawing value from the seeming chaos. Taught by leading researchers you will learn to analyse and visualise rich data sources, how to spot data trends and to generate data management strategies. This graduate diploma is offered as part of a suite of three programs (graduate certificate, graduate diploma and master). Each qualification extends to the next, so you can easily transition to a master level qualification. If you decide to exit this qualification having completed the first four courses you will receive the Graduate Certificate in Data Science. If you finish this graduate diploma and want to do further study, consider going on to the Master of Data Science. In the Graduate Diploma in Data Science you will learn current techniques in data science, and how to apply this knowledge professionally. You will develop: cognitive skills to review, analyse, consolidate and synthesise knowledge and identify and provide solutions to complex problems in data science cognitive skills to think critically and to generate and evaluate complex ideas specialised technical and creative skills in data science communication skills to demonstrate an understanding of theoretical concepts communication skills to transfer complex knowledge and ideas to a variety of audiences

Increasingly in the digital age data plays an important role in most, if not all, occupations. Extracting information from data has become a science in itself, blending skill sets from mathematics, statistics and computing. With a strong applications focus, this course introduces the skills needed to embark on data driven investigations.

Increasingly, companies are using large datasets that have been generated by business activities and social media to uncover trends and insights that can be used to tailor products and services, anticipate demand, improve performance, or contribute to solving complex social, health and science-related problems. Equip yourself with the analytical skills needed to work with big data. This course is taught with a computational focus that combines information technology with mathematics and statistics. The course is designed for information technology graduates and people working in information technology-related fields and provides the knowledge and skills IT professionals need to work with big data.