Data Science

The Graduate Diploma in Data Science can be an ideal starting place if you're interested in joining this flourishing business and also have a desktop computer with minimal if any study of computer science or statistics. Through this program you'll develop fundamental skills in the computer engineering and statistics, so you're able to keep up with the fast changing requirements of a data-driven job market, and world. You'll be shown how to make use of statistical tools, techniques and methods together with in-depth analysis and evaluation, to solve realworld issues in the data kingdom.

The Master of Data Science at the University of Melbourne is a comprehensive and rigorous program designed to equip students with the essential skills and knowledge required to excel in the rapidly evolving field of data science. This program offers a unique blend of theoretical foundations and practical applications, ensuring graduates are well-prepared to solve complex data problems across various industries. The curriculum covers a broad spectrum of topics, including statistical analysis, machine learning, data mining, and big data technologies. Students will learn to develop advanced algorithms, build predictive models, and interpret large datasets to inform strategic decision-making.

Throughout the course, students engage with real-world data projects, applying their learning to practical scenarios in finance, healthcare, technology, and other sectors. The program emphasizes hands-on experience through industry placements and collaborative projects with leading organizations, fostering a deep understanding of how data science techniques are applied in real business environments. In addition to core technical skills, the Master of Data Science also focuses on ethical considerations, data governance, and the societal impacts of data analytics, preparing students to responsibly manage and communicate their findings.

The program attracts a diverse cohort of students from various backgrounds, enabling rich peer-to-peer learning and the exchange of ideas. With access to world-class facilities, expert faculty, and a vast network of industry partners, students benefit from a supportive learning environment that encourages innovation and critical thinking. Graduates of the Master of Data Science are highly sought after by employers worldwide, with opportunities spanning consulting, finance, technology, government agencies, and research institutions. Whether students aim to advance their careers in existing roles or embark on new paths in data science, this program provides the essential tools and knowledge to succeed in the data-driven world.

• An undergraduate degree in any discipline
• 25 points of first year tertiary Mathematics and Statistics areas including MAST10006 Calculus equivalent or 2.

The University of Melbourne offers a range of financial support options for students enrolled in the Data Science program. Domestic students may be eligible for government-funded schemes such as HECS-HELP, which subsidizes the cost of tuition fees, allowing students to defer their payments until they are earning a certain income level. International students are required to pay tuition fees upfront or through payment plans arranged with the university. The exact fee structure varies depending on the specific intake and course duration, and prospective students are advised to consult the university’s official fee schedule for the most current information.

In addition to tuition fees, students can explore various scholarships aimed at supporting students enrolled in Data Science programs. The University of Melbourne provides merit-based scholarships, which are awarded based on academic achievement, as well as need-based grants for students demonstrating financial hardship. These scholarships can cover partial or full tuition fees and sometimes include additional allowances for living expenses or study materials. Applicants typically need to submit a separate scholarship application, and selection criteria vary by award.

Students are also encouraged to access external funding opportunities, such as government grants, industry sponsorships, and private scholarships for international students. The university’s Career Centre provides guidance on sourcing financial aid and accessing part-time work opportunities, which can help offset living costs and gain practical experience in the field of data science.

For international students, additional financial considerations include health insurance requirements, visa application fees, and orientation costs. The university offers payment plans that enable students to spread their fees over several installments, easing financial pressure. Moreover, students may consider external education loans or sponsorship programs, though these options depend on individual circumstances and lender agreements. Financial counseling services are available to assist students in planning and managing their finances effectively throughout their studies.

The Bachelor of Science in Data Science at The University of Melbourne is designed to equip students with the essential skills and knowledge required to analyze and interpret large datasets, develop data-driven solutions, and understand the theoretical foundations of data science. The program provides a comprehensive curriculum that combines core principles of computer science, statistics, and domain-specific applications to prepare graduates for diverse roles in industry, academia, and research. Throughout the degree, students engage in hands-on projects, practical workshops, and internships that foster real-world experience and enhance problem-solving abilities. The program emphasizes proficiency in programming languages such as Python and R, data management techniques, machine learning algorithms, data visualization, and ethical considerations related to data use. Students also have the opportunity to specialize in areas such as artificial intelligence, business analytics, or computational methods, depending on their interests and career aspirations. The degree is designed to be flexible, allowing students to undertake electives in related disciplines, participate in collaborative industry projects, and benefit from the university’s strong industry connections. Graduates of the Data Science program are well-positioned for careers in technology companies, finance, healthcare, government agencies, and consulting firms, among others. The University of Melbourne’s emphasis on research-led teaching ensures students are trained with up-to-date knowledge and cutting-edge skills to meet the rapidly evolving demands of the data science field.