Online Master of Data Science Strategy and Leadership

Online Master of Data Science Strategy and Leadership

POSTGRADUATE

Lead data-driven teams through the strategic use of machine learning and AI.

Student type:
Mode of study:
Online
Entry score:

See admissions

Duration:
Part-time 2 years intensive
Fees:

AU$3,720 per course (2022)

Next intake:
January, March, May, July, September, October
Location:
Online
Mode of study:
Online
Entry score:

See admissions

Duration:
Part-time 2 years intensive
Fees:

AU$3,720 per course (2022)

Next intake:
January, March, May, July, September, October
Location:
Online

Overview

Designed for professionals wanting to be senior leaders of organisations that are, or need to be, shaped by data science and transformed for the future.

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Lead people and strategy and deliver on the promise of data science

Big data is driving the demand for a new type of business leader who can be the critical link between data science and organisational strategy.

Female smiling

Become the data science leader industry needs

This course will give you the in-demand data science skills that can be applied across key business functions as well as the strategy and leadership skills to engage, communicate and influence at an executive level.

Deliver organisational value

Develop the strategic and leadership skills to deliver on the promise of data science

Designed with industry, for industry

Gain relevant and in-demand knowledge from industry and academic leaders

Be an in-demand leader, sooner

Get the skills industry needs by graduating with masters in under two years

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What you will study

Develop the capabilities and competencies required to be a senior leader of data science and analytics teams and drive organisational strategy shaped by data science, machine learning and AI. Study a combination of contemporary courses that develop technical, strategic and leadership skills.

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Your online experience

The 100% online degree delivers a convenient online program without the requirement for on-campus attendance and commitments. All lecture material and content is delivered directly to you, wherever you are.

Australian Student Visas

RMIT's online Master does not meet Australian student visa requirements. For an Australian student visa, you must have an on-campus place in a program of study.

Details

Why the RMIT Online Master of Data Strategy Science Strategy and Leadership?

RMIT Online’s Master of Data Science Strategy and Leadership has been designed to provide a pathway for you to be a C-suite leader in organisations that are, or need to be, transformed by data science, machine learning and AI. It will help you to:

  • Understand how to assess, select and leverage the potential of data science and technology across sectors and industries
  • Solve business issues with Data Science, Machine Learning and AI
  • Ensure ethical data management & accurate data outcomes
  • Better lead DSA teams or analytics centred function such as finance, marketing, tech, ops, and partner up, down and across organisations
  • Use enhanced communication skills to engage key stakeholders
  • Gain credibility across business functions to drive change.

The online program comprises eight core courses, and four elective courses picked from one or multiple concentration areas.

The 100% online, now accelerated program means your learning – and graduation – is fast-tracked and focused. You can enrol in any one of our six, seven-week teaching periods each year.

You can view online resources and learning activities, access course materials via Canvas, collaborate with lecturers and fellow students, and access your student email account anywhere, anytime.

Our online learning platform is purpose-built and brings authenticity to your learning experience, available using your laptop, tablet or smartphone. Coursework is delivered in an engaging way and easy to follow.

You will also have access to discussion boards, online forums, electronic assignment submission, the library and business journals.

Assessment is ongoing throughout the teaching period and includes essays, reports, presentations, case studies, quizzes and research projects. 

Designed with industry, for industry

The Master of Data Science Strategy and Leadership has been designed by experienced academics in collaboration with leading DSA practitioners and companies. You’ll be learning best practice and industry standards from data science professionals, using real-world case studies, examples and problems.

The program has been validated and tooled with industry partners such as Tableau. It has been co-designed with industry leaders in the intersection of data science and organisational strategy including:

  • Felipe Flores, Founder of Data Futurology, ex-Head of Data Science at ANZ
  • Andrew Wilson-Ann, Consultant, ex-Head of Business Initiatives at ANZ
  • Stephen Duckett, Director of Health Program at the Grattan Institute
  • Simon Dunstall, CSIRO Research Program Director

12 courses | 2 years part-time (intensive study, without advanced standing)
Each course is seven weeks in duration

For further information about advanced standing see pathways.

The RMIT Online Master of Data Science Strategy and Leadership comprises of 12 courses: 

  • Practical Data Science with Python
  • Applied Analytics
  • Data Visualisation and Communication
  • Data Wrangling
  • Data Architecture, Ethics and Governance
  • Consumer Analytics
  • Financial Analytics for Managerial Decisions
  • Analytics Strategy and Change
  • Machine Learning for Decision Makers
  • Shaping Organisations with Artificial Intelligence
  • Data Science Strategy Consulting Project

For more information about these courses, download our program brochure.

Career

RMIT’s Master of Data Science Strategy and Leadership has been designed by industry experts to enhance your credibility amongst data scientists and with business leaders.

In addition to future-proofing your data science practices, you’ll develop the soft skills to lead and influence in this age of digital disruption. 

Some positions to move into after studying this qualification include: 

  • Head of Digital, Data and Technology
  • Data Science and Analytics Director
  • Chief Technical Officer
  • Chief Marketing Officer
  • Head of Customer Insights

Admissions

Master of Data Science Strategy and Leadership (12-course master program):

  • An Australian Bachelor degree (AQF 7) or equivalent from a recognised tertiary institution in Business

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 in 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).

Master of Data Science Strategy and Leadership (Advanced Standing 8 course Master program):

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 following four courses (Applied Analytics, Practical Data Science, Data Wrangling, Data Visualisation and Communication), leaving a remaining eight courses to complete to achieve the master's award. 

  1. Bachelors 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 experience in an industry setting in an analytical role. Students will be required to submit a CV.

Please speak with one of our enrolment advisors to confirm if you are eligible for the Advanced Standing pathway for the eight-course master's degree.

Master of Data Science Strategy and Leadership (12-course master program):

  • An Australian Bachelor degree (AQF 7) or equivalent from a recognised tertiary institution in Business

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 in 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).

Master of Data Science Strategy and Leadership (Advanced Standing 8 course Master program):

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 following four courses (Applied Analytics, Practical Data Science, Data Wrangling, Data Visualisation & Communication), leaving a remaining eight courses to complete to achieve the master's award. 

  1. Bachelors 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 experience in an industry setting in an analytical role. Students will be required to submit a CV.

Please speak with one of our enrolment advisors to confirm if you are eligible for the Advanced Standing pathway for the eight-course master's degree.

International students are required to provide current evidence of English language proficiency for admission to RMIT University (see below).

To study this course you will need to complete one of the following English proficiency tests:

  • IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0)
  • TOEFL (Internet Based Test - IBT): minimum overall score of 79 (with minimum of 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing)
  • Pearson Test of English (Academic) (PTE (A)): minimum score of 58 (with no communication band less than 50)
  • Cambridge English: Advanced (CAE): minimum of 176 with no less than 169 in any component.

For detailed information on English language requirements and other proficiency tests recognised by RMIT, visit English language requirements and equivalency information.

Don't meet the English language test scores? Complete an English for Academic Purposes (EAP) Advanced Plus Certificate at RMIT English Worldwide.

Pathways

The Graduate Certificate of Data Science is also a pathway to the Master of Data Science, Strategy and Leadership for some students (see entry requirements).

Fees

2022 tuition fees:

  • AU$3,720 per course
  • Total AU$44,640 for 12 courses.

Fees apply to 2022 only.

Fees are adjusted on an annual basis and these fees should only be used as a guide.

In addition to tuition fees, you will be charged an annual student services and amenities fee (SSAF) based on your enrolment load, which is used to maintain and enhance services and amenities that improve your experience as an RMIT student. Eligible local students can apply for an SA-HELP loan to defer payment of their SSAF.

For more information about calculating your actual SSAF see Paying SSAF.

Some students may be eligible to apply to defer payment of some or all of their tuition fees via the Commonwealth Government’s FEE-HELP loan scheme. 

Visit our HELP loans page for lots of useful information about eligibility, how to apply and payment. You can apply for FEE-HELP once you have enrolled in a program.

HELP loans are not available to international students.

2022 tuition fees:

  • AU$3,720 per course
  • Total AU$44,640 for 12 courses.

Fees apply to 2022 only.

Fees are adjusted on an annual basis and these fees should only be used as a guide.

In addition to tuition fees, you will be charged an annual student services and amenities fee (SSAF) based on your enrolment load, which is used to maintain and enhance services and amenities that improve your experience as an RMIT student. Eligible local students can apply for an SA-HELP loan to defer payment of their SSAF.

For more information about calculating your actual SSAF see Paying SSAF.

Frequently Asked Questions (FAQs)

Looking for answers or more general information?

Use our Frequently Asked Questions to learn about the application process and its equity access schemes, find out how to accept or defer your offer or request a leave of absence, discover information about your fees, refunds and scholarships, and explore the various student support and advocacy services, as well as how to find out more about your preferred program, and more.

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.

aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.