MC267 - Master of Data Science

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Plan: MC267 - Master of Data Science
Campus: City Campus


Program details
Purpose of the Program
Articulation and pathways
Entrance requirements
External accreditation and industry links
Student expenses and charges in addition to fees
Library, IT and specialist resources

Program details

Award title: Master of Data Science
Award abbreviation: MDataSc
Total credit points: 192
Career: PGRD
Duration: 2 years full-time, 4 years part-time
Location: Onshore, City Campus
Owning school: Computing Technologies (175H)
Owning school URL:
ASCED code: 020199
CRICOS code: 093313B

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Purpose of the Program

The MC267 Master of Data Science program is designed for graduates of computing, science, engineering or health bachelors programs with or without industry experience who want to become data scientists. It will prepare you for a career in data science, an emerging area driving economic growth, public policy and corporate strategy through management of very large collections of data to derive insights that ultimately improve efficiency, boost profitability and/or benefit society. Job titles for data scientists in this new field are very diverse, for example: analytics specialist, business intelligence analyst, business intelligence developer, data analyst, data architect, data engineer, data miner, data scientist, research scientist, web analyst.

In this program you will undertake a capstone project in the 24 credit point course COSC2667 Data Science Postgraduate Project. This capstone project course provides you with hands on practical experience analysing data in a project environment. The emphasis is on understanding and working within a corporate environment and integrating all the skills and knowledge that you have acquired from your previous courses into a solid base to progress from into your professional life.

While most courses in the program are delivered at the City campus, others are via a combination of predominantly online activities supported by some campus-based activities. 

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Articulation and pathways


Articulation agreements between RMIT programs enable students graduating from an RMIT qualification to achieve advanced standing in a higher level qualification. 
Graduates of the RMIT University programs BP094 Bachelor of Computer Science and BP096 Bachelor of Software Engineering will be granted 48 credit points of advanced standing for MC267 Master of Data Science. For all other students, advanced standing will be determined on a case-by-case basis.

Students with relevant studies in computer science, information technology, software engineering, data science, analytics or statistics will be eligible for advanced standing as follows: (Note: A standard year of full-time undergraduate study at RMIT University is 96 credit points)

Qualification level Advanced Standing Remaining Program Duration
Bachelor degree
Graduate Certificate
(AQF Level 7 or equivalent)
Up to 48 credit points (equivalent
to one semester full time study) depending on the courses previously
Minimum of 144 credit points (equivalent to three semesters fulltime
Bachelor degree (Honours)
Graduate Diploma
(AQF Level 8 or higher)
Up to 96 credit points (equivalent
to two semesters full time study)
depending on the courses previously studied
Minimum of 96 credit points (equivalent
to two semesters full-time


Pathways refer to related programs for which you may be eligible once you have graduated from your current program.  As a successful graduate of this program, you may (upon application) be eligible to proceed to DR221 PhD in Computer Science. Acceptance into these programs would be subject to each programs' entry requirements. 

For domestic students, the following exit awards are available:

  • GC173 Graduate Certificate in Data Science is available if you choose to exit the Master's program after 48 credit points. This excludes any courses awarded as advanced standing.
  • GD202 Graduate Diploma in Data Science is available if you choose to exit the Master's program after 96 credit points. This excludes any courses awarded as advanced standing.

The capabilities developed by the Graduate Certificate and Graduate Diploma are consequently less comprehensive than those developed by the Master's program.

Note: these exit awards are not registered with CRICOS and so are not available for international students.

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Entrance requirements

Program Entry Requirements:

An Australian Bachelor degree or equivalent with a grade point average (GPA) of at least of 2.0 out of 4.0, in one of the following disciplines: computing, science, engineering, health or statistics.


You may also be considered if you have an Australian Bachelor degree or equivalent with a GPA of at least 2.0 out of 4.0 in another discipline and; relevant completed higher education courses in programming and statistics or a minimum three years’ of current, relevant work experience or professional practice in programming and statistics or equivalent. These applications will be assessed on a case-by-case basis

English Language Requirements:
A minimum IELTS (academic module) overall score of 6.5 with no band less than 6.0; or equivalent. For equivalents to English entry requirements, see the English equivalents web page.

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External accreditation and industry links

External Accreditation

The Master of Data Science is conditionally provisionally accredited at a professional level by the Australian Computer Society, which accredits Information and Communication Technology related programs that are offered by Australian universities, both onshore and offshore.

Graduates of this program may also be eligible to join the Institute of Analytics Professionals of Australia

Industry Links

The School of Computing Technologies has substantial links with the ICT industry both within Australia and internationally. This program has an Industry Advisory Committee (IAC). Membership is diverse and drawn from external industry and professional institutions. These committees help inform program development and ensure that program content and student learning outcomes remain closely aligned with the needs of future employers. In addition, academic staff maintain connections with industry to develop and deliver work integrated learning experiences as well as offer advice on professional careers.

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Student 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.

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Library, IT and specialist resources

Library resources and services 

RMIT Library provides extensive resources, services and study space. All RMIT students have access to scholarly resources including course related material, books, e-books, journals and databases. Computers and group study rooms are available at each Library. One-on-one study support is available for assistance with assignment preparation, academic writing, referencing, maths and study skills. To contact Library staff for help, phone, email or chat via the Ask the Library service. 

For recommended texts and databases relevant to your discipline, refer to and Find more information on Library resources and services at:

IT and Wireless 

If you have a laptop or other wireless-enabled device you can connect to RMIT’s fast Wi-Fi. While on campus, no matter how you work or where you work, you’re able to connect, collaborate and create using this secure network. 

In addition, with myDesktop, you can access your RMIT desktop and applications from home or wherever you have an internet connection.

Online learning tools and content 

As a student in this program you may access online learning tools and content for your program and associated courses from the student portal

Learning services available to you as a student at RMIT 

RMIT 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:

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