Masters in Data Science in Australia

You'll enter the Master of Data Science with a background in computer science or statistics (or both), and the course will be tailored to build your skills in the other discipline. If they meant that jobs in data science are increasing dramatically, that data scientists can work in fields as diverse as health, retail or ecology, and that data scientists are commanding high salaries, then they were spot on. Core subjects will give you a solid grounding in data science, so you'll have the technological and analytical abilities that are vital for managing and interpreting large, complex collections of data. Beyond the core subjects, elective subjects give you the freedom to dive deeper into a specialist area of data science. We know that you'll need more than technical capability to succeed in the workplace. To round out your skill set, you can choose from professional skills subjects, such as scientific communication, so you can start your data science career with confidence. If you'd like to gain more real-world experience, you can choose to complete an internship in a science or technology-related workplace for course credit.

The Master of Digital Health and Data Science offered by University of Sydney is an advanced Masters course designed for students aspiring to become professionals in Data Science. Students will gain hands-on experience through practical exercises and real-world projects, allowing them to apply the concepts learned in class. The curriculum is carefully designed to ensure that students develop a strong foundation in Data Science and acquire the skills needed to solve complex problems in the industry. Upon completion of this course, students will be well-prepared to tackle the challenges of Data Science and pursue rewarding career opportunities such as Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer.

The Graduate Certificate in Data Science & Decisions produces professionals who are skilled in the manipulation and interpretation of large amounts of data. It has been developed to train scientists to meet the strongh and ongoing demand for data scientists and data analysts. Graduates will have broad and advanced knowledge and skills in data science across the three areas of mathematics and statistics, computer science, and economics. This graduate certificate opens up a range of career opportunities in this ever-growing space.

This is the most comprehensive data science program in Australia, combining high-level analytical and technical skills with industry-specific knowledge and essential professional attributes. It's also one of the few programs in the world to offer you a cross-disciplinary education with direct industry contact and practical experience in the exciting field of data science. You'll study advanced topics from computing, statistics and mathematics, and your choice of electives from business, finance, health or science. Across the program, you'll learn how to make informed decisions in data-intensive environments. You'll use relevant big data tools and technologies and develop essential knowledge about the ethical use of data, legal considerations, communication and more. In your final year, you'll also complete projects relevant to industry. Since data underpins the digital economy, there are enormous opportunities for data scientists to revolutionise the way we work, live and communicate. With a Master of Data Science you'll be expertly prepared to work in Australia or overseas across a large number of industry sectors, government agencies and high technology companies, as well as consulting and market research firms. Program highlights Benefit from the most comprehensive data science program in Australia. Study advanced topics from computing, statistics and mathematics. Learn how to make informed decisions in data-intensive environments. Graduate with a combination of high-level technical skills and a capacity for creative and disruptive thinking.

The Master of Data Science offered by Monash University is an advanced Masters course designed for students aspiring to become professionals in Data Science. Students will gain hands-on experience through practical exercises and real-world projects, allowing them to apply the concepts learned in class. The curriculum is carefully designed to ensure that students develop a strong foundation in Data Science and acquire the skills needed to solve complex problems in the industry. Upon completion of this course, students will be well-prepared to tackle the challenges of Data Science and pursue rewarding career opportunities such as Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer.

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.

We live in a data-driven world that's generating huge volumes of information at ever-increasing rates via social media, financial transactions, transportation, and scientific discovery. Consequently, an understanding of data is a top priority for all of us - whether you're in business, government, or individually as citizens and consumers. The new interdisciplinary field of data science combines areas of computer science with mathematical statistics and domain expertise to manage and analyse data. Specialists develop the capability to derive insight and opportunity from the vast repositories of information that organisations collect. Data science also puts an emphasis on the specialised computational skills required to manage and analyse big data from sources such as social media, massive sensors, mobile and transaction data. It enables businesses to gain a competitive edge, governments to deliver more targeted services, and research teams to make new discoveries.

Data has the potential to transform the way business, government, science and healthcare is carried out. Conventional manual techniques, however, aren't capable of handling the deluge of data that modern systems generate. Data science, which applies specialised computational and statistical techniques to analyse big data, is considered a key skill of the 21st century, and there's a skills shortage in this field.

The Graduate Certificate of Data Science is designed to prepare students to work in a variety of roles in data-driven decision-making. Build on your existing undergraduate qualification and/or industry experience as you develop skills related to managing, interpreting, visualising and deriving knowledge from small to medium-sized data sets. In this course, you'll expand your knowledge of computer science, data analytics and visualisation, and gain an understanding of the challenges of the data management lifecycle. You'll also complete a project-based learning unit designed to introduce industry-relevant tools and techniques.

The Master of Data Science offered by La Trobe University is an advanced Masters course designed for students aspiring to become professionals in Data Science. Students will gain hands-on experience through practical exercises and real-world projects, allowing them to apply the concepts learned in class. The curriculum is carefully designed to ensure that students develop a strong foundation in Data Science and acquire the skills needed to solve complex problems in the industry. Upon completion of this course, students will be well-prepared to tackle the challenges of Data Science and pursue rewarding career opportunities such as Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer.

Enter the revolutionary area of big data where there is an acute shortage of 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). 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 insights based on data. This postgraduate degree 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. You will start by developing foundation skills in data and statistics and then in second year, you will study advanced skills in analytics. This will include courses such as: Predictive Analytics Unsupervised Methods in Analytics Research Methods Data Visualisation Customer Analytics in Large Organisations Advanced Analytic Techniques 1 & 2 Social Media Data Analytics You'll finish your degree with a professional project where you'll work in a structured project team, getting practical experience in modern data science techniques and practices.

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.

If you consider yourself a big picture thinker, then the UC Master of Data Science is the course for you, as not only will it introduce you to a whole new world of data interpretation, it will also teach you the skills to recognise, interpret and ultimately manage trends at both a micro and global scale. Data analysis and modelling underpins all aspects of social and community development and thanks to the internet and smart phones there has been a dramatic growth in the scale and complexity of data that can be collected and analysed across industries including health care, sports, business practices, scientific discoveries and government policy. To help process and navigate this vast and ever-growing mass of data, the industry desperately needs trained specialists who can understand and interpret vast amounts of data (big data), while providing effective and ethical ways to protect the privacy of that information. Using a unique combination of interdisciplinary coursework, a strong background in research methodology and comprehensive training via industry-based projects (work-integrated learning), this course will uniquely position graduates of this course to become leaders in this field in either industry, the government sector or academia.

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.