MC267 - Master of Data Science

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

Overview

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: Science (171H)
Owning school URL: www.rmit.edu.au/about/our-education/academic-schools/science/
ASCED code: 020199
CRICOS code: 093313B

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Purpose of the Program

The 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 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.

This program can be undertaken on-campus requiring in person attendance or the program can be undertaken entirely online.

 

 

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Articulation and pathways

Articulation:

Students with relevant studies in computer science, information technology, software engineering, data science, analytics or statistics will be eligible for exemptions as follows:

Qualification levelExemptionsRemaining 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
studied
Minimum of 144 credit points (equivalent to three semesters fulltime
study)
Bachelor degree (Honours)
Graduate Diploma
Master
PhD
(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
study)

For example, students who have successfully completed BP094 Bachelor of Computer Science or BP096 Bachelor of Software Engineering degree from RMIT University will be granted 48 credit points of exemptions (in particular exemptions will normally granted for ISYS1055 Database Concepts, COSC2531 Programming Fundamentals, COSC1295 Advanced Programming, and COSC1285 Algorithms and Analysis). For all other students, exemptions will be determined on a case-by-case basis.

Pathways:

The 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 exemptions. The capabilities developed by the Graduate Diploma are consequently less comprehensive than those developed by the Master's program.
Upon successful completion of this program you may be eligible to undertake further studies in related programs at RMIT University, including MR047 Master of Computer Science (Research) and DR221 PhD in Computer Science, subject to each program's entry requirements.

 

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Entrance requirements

Program Entry Requirements:
An Australian Bachelor degree or equivalent from a recognised tertiary institution with a grade point average (GPA) of at least of 2.0 out of 4.0 (equivalent to at least a credit average), in computing, science, engineering or health.

OR

An Australian Bachelor degree or equivalent from a recognised tertiary institution with a grade point average (GPA) of at least of 2.0 out of 4.0 (equivalent to at least a credit average), where the title does not specify
the specialisation (e.g. Bachelor of Arts). In this case relevant completed courses in programming and statistics in an undergraduate or postgraduate degree, or, at least three years' relevant work experience in programming and statistics will be considered 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

Computer Science and Information Technology within the School of Science has substantial links with the ICT industry both within Australia and internationally. Employers and industry professionals are members of our Industry Advisory Committee and those and others with Data Science expertise have contributed to the initial development and ongoing improvement of the program. Their involvement ensures that the program remains relevant to your needs as a graduate and the needs of graduate employers. The committee meets quarterly and provides feedback on the currency of the program, the changing needs of industry and has input into the design of new programs. It also actively contributes to the School through participation in seminars, marketing events, industry awards and scholarships.

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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

Resources available from the Library

As a student enrolled in a program at RMIT University you can access the extensive services, facilities and study space provided by the Library. You can access books, journals and other course related materials, such as DVDs, past exams, newspapers and e-books. Through our document delivery service you can also request items from any library in the world.

Computers for study are available at every Library site, where you can access the Internet, myRMIT http://www.rmit.edu.au/myrmit or Library e-resources. If you have a laptop you can access the RMIT wireless network in the Library.

Library staff can show you how to find information for your assignments or you can work through web-based tutorials or use our online Ask a Librarian service.

The Library is continually expanding our electronic collections to make it easier for you to get the information you need when you need it. All RMIT students have unlimited access to quality electronic resources such as, e-books, e-journals and newspapers.

You can find more information on Library resources and services at: http://www.rmit.edu.au/library including specific resources for computer science: http://rmit.libguides.com/compsci.

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, myRMIT http://www.rmit.edu.au/myrmit.

The Computer Science and Information Technology within the School of School http://www.rmit.edu.au/compsci also provides you with access to its specialised computer laboratories both for use during scheduled classes and outside scheduled class times. These laboratories provide access to a range of computer environments including a variety of database products under different operating systems.

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: www.rmit.edu.au/students.

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