GD209 - Graduate Diploma of Data Science Strategy and Leadership
Plan: GD209KP19 - Graduate Diploma of Data Science Strategy and Leadership
Campus: RMIT Online
Overview
Program detailsPurpose of the ProgramArticulation and pathwaysEntrance requirementsExternal accreditation and industry linksStudent expenses and charges in addition to feesLibrary, IT and specialist resourcesProgram details
Award title: Graduate Diploma of Data Science Strategy and Leadership
Award abbreviation: GDDScStratLead
Total credit points: 96
Career: PGRD
Duration: 1 year full-time or part-time equivalent
Location: RMIT Online
Owning school: Business IT and Logistics (620H)
Owning school URL: www.rmit.edu.au/businessitlogistics
ASCED code: 020199
CRICOS code:
Top of pagePurpose of the Program
The Graduate Diploma of Data Science Strategy and Leadership equips graduates with the technical, business and communication skills to understand, partner with and service the analytical needs of finance, marketing, operations and technology teams. Roles include Data Science or Analytics (DSA) Team Leader, Product Owner, or Strategist.
Through the duration of this program you will participate in a variety of learning experiences which are designed to support you in developing the interdisciplinary skills of contemporary DSA team leaders. The focus is on developing foundational programming, analytical and business skill and, knowledge transferable across a range of industries and relevant to specific organisational functions such as marketing and finance. The curriculum incorporates: Practical Data Science, Data Visualisation, Data Preprocessing, Applied Analytics, Data Architecture, Governance and Ethics, Consumer Analytics, Analytics, Strategy and Change and Financial Analytics for Managerial Decisions.
Learning and teaching approaches for this program may include webinars, problem-based learning and case studies. Activities and tasks are designed to facilitate theory application and peer learning in a collaborative, open manner using online tools and interactive discussion forums.
The program will prepare you to work as a DSA Manager in the increasing number of organisations and businesses that leverage data sets to reach strategic goals and objectives.
This program is available for online study only.
Top of pageArticulation and pathways
Applicants who have completed studies or have partially completed a similar program at another institution (with entry criteria similar to this program) may be accepted with some credits or exemptions being granted towards this program.
Prospective students with the below qualifications (1) and experience may be considered for exemptions of the four courses in Stage B (Applied Analytics, Practical Data Science, Data Preprocessing, Data Visualisation), leaving a remaining Four (4) courses to complete to achieve the Graduate Diploma award.
(1) Bachelor’s degree with Honours (AQF8) degree in a cognate discipline defined as Data Science, Analytics, Maths, Statistics, Engineering, IT and Computer Science AND 2 years of relevant work FTE experience in an industry setting in an analytical role. Students will be required to submit a CV.
Student with at least 3 years of Full Time Equivalent work experience in an industry setting or an undergraduate (AQF 7) Business degree will be exempted from the four business enabling units Management 1- Managing People, Business and Government in the Global Context, Global Business and Social Technology: A Case Study Approach and Accounting for Management Decisions.
Upon completion of the program, if a student wishes to continue their studies with a PhD degree, they may need to complete additional research methodology training.
Credit pathways between RMIT University VET programs, Higher Education Diplomas and Associate Degrees in the same or related discipline, enable you upon successful completion of a lower level qualification, at the required standard for admission, to apply for advanced standing in a higher level qualification.
Credit pathways between RMIT University programs enable you upon graduating from an RMIT University qualification to apply for advanced standing in a higher level qualification.
The current credit pathways for College of Business programs can be found at http://bit.ly/RMIT-Bus-Credit. These are subject to change.
Top of pageEntrance requirements
Entry into this program is via MC274 Master of Data Science Strategy and Leadership.
The GD209 Graduate Diploma of Data Science Strategy and Leadership program is available as an early exit award from the MC274 Master of Data Science Strategy and Leadership program. It is available to students upon successful completion of Stage B and C (96 credit points) of the MC274 program structure.
All non-Australian residents and overseas full-fee paying students are required to meet RMIT English language requirements. For more information on these requirements and acceptable English Language tests
Please see www.rmit.edu.au/international/english-equivalent.
Top of pageExternal accreditation and industry links
This program is not accredited by professional bodies, and there are currently no professional bodies that offer qualification recognition for this program in Australia.
This program has been developed in consultation with leading industry partners. The College of Business Industry Advisory Committee and The School of Science Industry Advisory Committee also includes senior executives from a number of major companies. The committees provide feedback on the currency of our programs and the changing needs of industry.
Top of pageStudent expenses and charges in addition to fees
Once you are enrolled as a student in this program you will need to allow for expenses other than university tuition fees. Additional expenses may relate to the purchase of lecture notes, textbooks, stationery, consumables such as printer paper, fees levied by commercial internet service providers for internet access outside of the university campus, and other relevant costs.
Top of pageLibrary, IT and specialist resources
Online learning tools and content
Each learning activity contains the core resources, such as videos, podcasts, readings, templates, articles, industry tools and/or communities that you need to complete that activity, or links to those resources.
Additional learning resources designed into the course, will be clearly marked as supplemental. If your course teaching team finds additional resources during course delivery which they think can support or be of interest to the class cohort, these will be made available as required during the teaching period.
In your class environment, besides your learning activities you will also find
All assessment briefs
A course information page with a study schedule,
Various communication tools to facilitate collaboration with your peers and facilitators, and to share information
Learning Resources are also available online through RMIT Library databases. If you require assistance with the RMIT library services contact the Library via Ask the Library. You can also register your interest in a library service by using this form.
Services available to you as a student at RMIT University
RMIT University provides a wide range of resources and opportunities to assist your learning and wellbeing so you can achieve your study and career goals.
Services are available face to face and online assisting with:
transition to tertiary study and learning
study skills, academic skills including literacy, mathematics and basic sciences if relevant
enabling assistance if you have a disability, long term medical condition or other form of disadvantage which may impact on your learning
career development and employment
living and wellbeing (including advice on health, housing and financial matters)
opportunities for scholarships, leadership and study abroad
opportunities for participating in arts, sport, recreation, fitness activities as well as student activism and university governance
We also offer a friendly and supportive environment for Aboriginal and Torres Strait Islander students. You can find more information at www.rmit.edu.au/students
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