Bachelor of Data Science (Honours)

The Bachelor of Data Science (Honours) at Deakin University offers an advanced, in-depth exploration of data science, blending statistical theory, computer science, and artificial intelligence. Across four years of study, students build foundational and specialist knowledge in areas such as data analytics, machine learning, data management, and AI-driven decision making. The honours year includes a significant research component or capstone project, allowing you to apply your skills to a substantial, independent inquiry under academic supervision.

Australian bachelor honours degrees like this consist of structured units of study, each carrying credit points that contribute toward the total required for graduation. Deakin's programme is organised across semesters, with students typically undertaking a mix of core and elective units, plus a rigorous honours thesis or project in the final year. Where appropriate, work-integrated learning opportunities connect students with industry partners through internships or project placements, further supporting career-readiness in the rapidly evolving field of data science and AI in Australia.

Throughout your studies, you will learn to source, analyse, and visualise datasets using advanced computational tools, and develop critical thinking, problem-solving, and communication skills. This qualification is suited to those with strong analytical abilities and an interest in using data and algorithms to solve real-world problems; it is especially valuable for students who wish to pursue research, postgraduate study, or leadership positions in data-driven industries.

Deakin University is located in Melbourne, one of Australia's largest technology and innovation hubs. The programme draws on connections with local industry and research centres, supporting professional development and employability. International students have access to work rights of up to 48 hours per fortnight during study, and graduates may be eligible for the Temporary Graduate visa (subclass 485) post-study work stream. Please check the official university website for full course details and the most current information.

• Data scientist in technology, finance, government, or healthcare sectors
• Machine learning engineer within innovation-focused organisations
• Data analyst roles across Australian enterprises and consultancies
• AI specialist developing intelligent systems or software solutions
• Research and development positions within industry or academia
• Opportunities in startups and major corporations keen on data-driven strategy