Marketing within Australia and China poses a unique set of challenges and opportunities. In an ever-shifting market driven by technology, connecting with both Australian and Chinese consumers requires a strong, data-informed strategy. In this project, a group of students will conduct primary and secondary market research to specify the needs/ desires, perceptions, attitudes and subsequent behaviour of your target market and develop recommendations based on their findings with respect to your challenge/area of focus.

Our students are available for assisting to solve any business problem (internal or external) related to Transportation &/or Freight Logistics. Our students offer recommendations for transportation needs or freight logistics and/or operations or any other related challenge your company may be experiencing or other business improvement outcomes. This course is focused on developing students' understanding of transportation & freight logistics requirements and operations. The course is a popular elective and thus we have students from many disciplines enrolled bringing with them a variety of talents and interests from The Business School of RMIT University. Our campus is based in Vietnam and we are looking forward to working with you online. We will provide a final report for you to use as building your own positive outcome for your project.

The intent of work placement is for participants to gain work experience at a level commensurate with Master in Biotechnology . A student could work individually or in teams undertaking biochemistry, molecular biology, microbiology, genomics, bioinformatics or related biotechnology projects. Student(s) could either assist in developing new assays or testing more samples with an existing assay. All placements need to be submitted through our internal form: https://app.smartsheet.com/b/form/edbfbb5b2d5941719d497fe9aa83c75f

Students will dedicate 240 hours over a 12 week period to complete a data science based project. We ask that the client e-meets candidates for 1 hour a week to keep them on track. This is a project-based course where students learn through meetings and informal discussions with other students, the project manager and client. Their learning is in the ’doing’, where students will carry out all the necessary steps to successfully complete the project. All learning activities in this course are based on applying data science knowledge in a process of planning and executing a substantial research-based project or industry-sponsored capstone project experience.