COURSE CURRICULUM

The Bachelor of Applied Data Science Advanced (Honours) at Monash University prepares students to become highly skilled data science professionals capable of extracting meaningful insights from complex datasets and applying them across a variety of sectors. The program develops advanced knowledge and technical expertise in data science, enabling graduates to design, implement, and manage methods for capturing, processing, and analysing data. Students learn to approach problems critically and creatively, applying analytical and computational skills to authentic challenges while developing leadership, enterprising, and multicultural literacy essential for success in diverse workplaces including government, academic, private and social-good enterprises. The course emphasises effective communication, enabling students to present insights persuasively to a range of audiences, and highlights the importance of ethics, social responsibility, and mentoring in professional practice. Structured across five interconnected parts, the degree provides a comprehensive education in data science. Part A focuses on data challenges, developing analytical, collaborative, and applied skills through studio-based projects sourced from real-world industry contexts. Part B, Techniques for Data Science, builds the technical foundation in mathematics, computational methods, and core data science practices necessary to tackle complex problems. Part C, Applied Studies, allows students to explore cross-disciplinary areas, develop specialised knowledge, and understand the context and culture of chosen disciplines. Part D, Advanced Practice, culminates in an independent honours research project, synthesising knowledge and applying it to a real-world problem, supported by research training and exposure to cutting-edge techniques. Part E, Free Electives, provides flexibility to further deepen technical skills or expand understanding in complementary fields. With a total of 192 credit points, including core, applied, advanced practice, and elective units, the program equips graduates with the expertise, problem-solving abilities, and research competencies required to thrive in data-intensive roles and make a meaningful impact across industries globally.