Graduate Diploma of Data Science Strategy and Leadership

Royal Melbourne Institute of Technology

About

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.

Structure

Stage A:

Complete the following Four (4) Courses (note this is Stage B in the Master's offering):

Course Title Credit Points Course Code Campus
Practical Data Science with Python 12 COSC2791 RMIT Online
Applied Analytics 12 MATH2406 RMIT Online
Data Visualisation and Communication 12 MATH2404 RMIT Online
Data Wrangling 12 MATH2405 RMIT Online
AND

Stage B:

Complete the following Four (4) Courses (note this is Stage C in the Master's offering):

Course Title Credit Points Course Code Campus
Consumer Analytics 12 INTE2556 RMIT Online
Data Architecture, Ethics & Governance 12 ISYS3418 RMIT Online
Analytics, Strategy and Change 12 BUSM4810 RMIT Online
Financial Analytics for Managerial Decisions 12 BUSM4741 RMIT Online

Entry requirements

  • An Australian Bachelor degree (AQF 7) or equivalent from a recognised tertiary institution in a business discipline OR
  • An Australian Bachelor degree or equivalent in any non-business discipline with a minimum of 3 years Full Time Equivalent (FTE) work experience in an industry setting. Applicants will be required to submit a CV, OR
  • Successful completion of the RMIT Graduate Certificate of Data Science AND with a minimum of 3 years Full Time Equivalent (FTE) work experience in an industry setting. Applicants will be required to submit a CV OR
  • Australian Graduate Certificate, Graduate Diploma or Master’s degree or equivalent in Business (or a related discipline).

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.

Learning outcomes

In this program you will learn and apply the critical thinking, and communication skills required of DSA Team Leaders in a variety of contemporary organisations. You will gain knowledge of the strategic, analytical and technological influences on data teams and technology. You will develop the decision-making capabilities required to manage people, teams and technology to maximise the value of data sets and apply this through a variety of activity-based learning experiences.

On the successful completion of this program you will be equipped to:

Institution