- Overview
- Learning outcomes
- Program delivery and structure
GD209 - Graduate Diploma of Data Science Strategy and Leadership
Plan: GD209KP19 - Graduate Diploma of Data Science Strategy and Leadership
Campus: RMIT Online
Program delivery and structure
Approach to learning and assessmentWork integrated learningProgram structureProgram transition planApproach to learning and assessment
This program uses highly structured learning activities to guide your learning process and prepare you for your assessments. The activities are a combination of individual, peer-supported and facilitator-guided activities, and where possible project-led, with opportunities for feedback throughout.
Authentic and industry-relevant learning is critical to this program and you will be encouraged to critically compare and contrast what is happening in your context and in industry, and to use your insights.
Social learning is another important component and you are expected to participate in class and group activities, share drafts of work and resources and give and receive peer feedback. You will be expected to work efficiently and effectively with others to achieve outcomes greater than those that you might have achieved alone.
Above all, the learning activities are designed to maximize the likelihood that you will not only understand the course learning resources but also apply that learning to improving your own practice, for example by producing real-world artefacts and engaging in scenarios and case studies.
If you have a long term medical condition, disability and/or other form of disadvantage it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or the Equitable Learning Services (ELS) if you would like to find out more: https://www.rmit.edu.au/students/support-and-facilities/student-support/equitable-learning-services
If you have already developed areas of skill and knowledge included in this program (for example, through prior studies or work experience), you can apply for credit once you have enrolled in this program. There is information on the RMIT University website about how to apply for Recognition of Prior Learning (RPL) www.rmit.edu.au/students/enrolment/credit/he
To view the Assessment Policy go to: https://www.rmit.edu.au/about/governance-and-management/policies/assessment-policy
Top of pageWork integrated learning
As a student enrolled in this RMIT University program you will be provided with an education that strongly links formal learning with professional or vocational practice. You will be provided with practical application of theoretical concepts through a variety of means, such as project-based assessments, exposure to real-world product challenges through case studies, and course facilitation by industry experts. The following courses have a work integrated learning element.
MATH2405 Data Wrangling (12CP)
Top of pageProgram Structure
| To graduate you must complete the following: All courses listed may not be available each semester. | ||||||||||||||||||||
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Stage A: |
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| Complete the following Four (4) Courses (note this is Stage B in the Master's offering): | ||||||||||||||||||||
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Stage B: |
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| Complete the following Four (4) Courses (note this is Stage C in the Master's offering): | ||||||||||||||||||||
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Program transition plan
Not applicable.
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